Python and XML [XML processing with Python - Search

lgli/Christopher A. Jones & Fred L. Drake Jr. [Jones, Christopher A. & Drake, Fred L. Jr.] - O'reilly-Python and XML 1st edition-2002 (2002, O'Reilly).epub

O'reilly-Python and XML 1st edition-2002 Christopher A. Jones & Fred L. Drake Jr. [Jones, Christopher A. & Drake, Fred L. Jr.] O'Reilly Media, Incorporated, informatique #270, 2002

If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML.Python &amp; XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers).The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network.Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.

English [en] · French [fr] · EPUB · 1.2MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

ia/pythonxml0000jone.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, O'Reilly Media, Sebastopol, CA, 2002

If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML.Python &amp; XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers).The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network.Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.

English [en] · PDF · 18.4MB · 2002 · 📗 Book (unknown) · 🚀/ia · Save

lgli/I:\it-books_dl\4977\Python and XML.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st, 2001

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 4.1MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/misc/Y9EgLx762wKqWqG7nloH/Books/Gentoomen Library/Programming/Python/O'Reilly Python & XML.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st ed., Sebastopol, Calif, California, 2002

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 3.9MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

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upload/misc/Y9EgLx762wKqWqG7nloH/Books/Gentoomen Library/Programming/Python/Python & XML - XML Processing with Python, First Edition (2002).pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st, 2001

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 3.7MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

upload/wll/ENTER/Science/IT & AI/IT Library/Programming/Python/XML Processing with Python.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st ed., Sebastopol, Calif, California, 2002

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 2.1MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

upload/newsarch_ebooks/2023/07/02/Python and XML Includes index.pdf

Python and XML: Includes index Jones, Christopher A;Jr, Fred L Drake O'Reilly Media, Incorporated, 1st ed, 2001;2002

If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML. Python & XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers). The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network. Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.

English [en] · PDF · 3.7MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

upload/motw_shc_2025_10/shc/Python & XML - Christopher A. Jones.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st, 2001

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 2.1MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

upload/wll/ENTER/Science/IT & AI/1 - More Books on IT/IT Science and Programming/Programming languages/Python/Jones, Drake. Python and XML (OReilly, 2001)(T)(C)(ISBN 0596001282)(446s).djvu

programming Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st ed., Sebastopol, Calif, California, 2002

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · Italian [it] · DJVU · 3.0MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

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upload/trantor/en/Jones, Christopher A/Python & XML.epub

Python and XML [XML processing with Python Jones, Christopher A., Drake Jr, Fred L. O'Reilly Media, Incorporated, 1st, 2001

If you are a Python programmer who wants to incorporate XML into your skillset, this is the book for you. Python has attracted a wide variety ofdevelopers, who use it either as glue to connect critical programming taskstogether, or as a complete cross-platform application development language.Yet, because it is object-oriented and has powerful text manipulationabilities, Python is an ideal language for manipulating XML._Python & XML_ gives you a solid foundation for using these two languagestogether. Loaded with practical examples, this new volume highlights commonapplication tasks, so that you can learn by doing. The book starts with thebasics then quickly progresses to complex topics, like transforming XML withXSLT, querying XML with XPath, and working with XML dialects and validation.It also explores the more advanced issues: using Python with SOAP anddistributed web services, and using Python to create scalable streams betweendistributed applications (like databases and web servers).The book provides effective practical applications, while referencing many ofthe tools involved in XML processing and Python, and highlights cross-platformissues along with tasks relevant to enterprise computing. You will find amplecoverage of XML flow analysis and details on ways in which you can transportXML through your network.Whether you are using Python as an application language, or as anadministrative or middleware scripting language, you are sure to benefit fromthis book. If you want to use Python to manipulate XML, this is your guide.words : 107204

English [en] · EPUB · 1.0MB · 2001 · 📗 Book (unknown) · 🚀/upload/zlib · Save

nexusstc/Python & XML/5080deff94bcc4c17e489141bdf020f7.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st, 2001

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 3.7MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/wll/ENTER/Science/IT & AI/IT Library/Programming/Python/O'Reilly - Python & XML.pdf

Python and XML [XML processing with Python Christopher A. Jones and Fred L. Drake, Jr O'Reilly Media, Incorporated, 1st, 2001

I found the entire book easy to read and understand. I've been programming for a while now, but am new to both Python and XML and this book was at the perfect level for me. The book is very readable and the examples used were both concise and pertinent. The Python code used in the book was easy to follow even though I've only been using Python for a few weeks. This book is mostly a tutorial on what XML is, how to manipulate XML documents using Python, and how to use XML to move data over the internet via HTTP. It was a very good practical overview of XML in the context of Python. While it wasn't all-encompassing, the book gave you just the right amount of information to get started, without burying you with details that might be better left to more of a reference style book. I almost gave it just 4 stars only because the chapter on SOAP was quite dated. Since the book was last published when SOAP was in it's infancy, I didn't find that the information provided was quite as useful as it could be. The overview of SOAP was OK, but the sample code seemed to not have the same flow as the rest of the book. That said, if you're looking for information on SOAP specifically, this book may not be your best choice. Interestingly though, the last chapter that ties everything together with a more involved example web application, shows how to do a SOAP-like web service without actually using SOAP - which actually seemed to be a lot simpler in my opinion. I would have also appreciated a little more coverage of XML Schemas, but after reading the book, I now at least know what to look for. All-in-all though, an excellent book to get you started if you're looking to work with XML documents using Python.

English [en] · PDF · 2.1MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

lgli/R:\!fiction\0day\eng5\tuebl\Lutz_Mark-Programming_Python.epub

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include: * **Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basics** * **System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more** * **GUI programming: Learn to use Python’s tkinter widget library** * **Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques** * **More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python**

English [en] · EPUB · 21.1MB · 2010 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/Python Bibliography: The Top Technical Resources on Python/043d1aff5785bac88b580f0b756fe871.pdf

Python Bibliography: The Top Technical Resources on Python Various Safari Tech Books Online, 2011

Learn how to use Python‚Äôs built-in graphics capabilities to create static and animated graphics for a range of real-world purposes. Over 100 recipes take you from basic shape creation to developing interactive GUIs.Key FeaturesCreate captivating graphics with ease and bring them to life using PythonApply effects to your graphics using powerful Python methodsDevelop vector as well as raster graphics and combine them to create wonders in the animation worldCreate interactive GUIs to make your creation of graphics simplerPart of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to accomplish the task of creation and animation of graphics as efficiently as possibleBook DescriptionPython is a great object-oriented and interactive programming language that lets you develop graphics, both static and animated, using built-in vector graphics functions that are provided with Python. Python 2.6 Graphics Cookbook is a collection of straightforward recipes and illustrative screenshots for creating and animating graphic objects using the Python language. This book makes the process of developing graphics interesting and entertaining by working in a graphic workspace without the burden of mastering complicated language definitions and opaque examples. If you choose to work through all the recipes from the beginning, you will learn to install Python and create basic programs for making lines and shapes using the built-in Tkinter module. The confusing topic of color manipulation is explored in detail using existing Python tools as well as some new tools in the recipes. Next you will learn to manipulate font size, color, and placement of text as placing text exactly where you want on a screen can be tricky because font height, inter-character spacing, and text window dimensions all interfere with each other. Then you will learn how to animate graphics, for example having more than one independent graphic object co-exist and interact using various Python methods. You will also learn how you can work with raster images, such as converting their formats using the Python Imaging Library. Next you will learn how you can combine vector images with raster images so that you can animate the raster images with ease. You will also walk through a set of recipes with the help of which you can handle and manipulate blocks of raw data that may be hundreds of megabytes in size using datastreams, files, and hard drives. You will also learn how you can use Inkscape to dismantle existing images and use parts of them for your own graphics and Python programs. At the end of the book you will learn how you can create GUIs for different purposes.What you will learnInstall Python and create basic programs for making lines and shapesApply different colors to your graphics using widgets and schemes available with the Tkinter moduleWork with raster images and animate them by combining vector images with raster imagesOptimize the storage and retrieval of graphics using hard disks, datastreams, and so onDevelop GUIs for different purposes to enhance your interaction with the programsMove graphic objects smoothly around a screen by adding minimum delay and shiftExplore alternative ways and means of getting graphic shape data into Tkinter programsCreate beautiful patterns by setting any number of pivot points in different directionsUse trajectory traces to examine the history of execution required for animating specific behavior of objectsWho this book is forIf you are looking to create animated graphics to represent real-world scenarios then this book is for you. Teachers, scholars, students, and engineers who know it is possible to make fascinating models and demonstrations but have not found a handbook that pulls it all together in one

English [en] · PDF · 0.6MB · 2011 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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upload/misc/Y9EgLx762wKqWqG7nloH/Books/Gentoomen Library/Programming/Python/XML Processing with Perl, Python, and PHP (2002).pdf

XML Processing with Perl, Python, and PHP : Also Covers Tel, Rebol, Ruby, and AppleScript Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is the leading standard for enabling business-to-business e-commerce, as well as any application that needs to communicate across different platforms. This book focuses on the application of XML when using scripting languages, because these languages make it easier to quickly build Web applications. Two of the most popular open-source languages are covered - Perl and Python - but there are chapters on PHP and several upstart languages, including Ruby and Rebol. The book gives coverage of the core XML processing issues, including the basics of parsing XML documents, converting XML to and from different formats (including HTML), and translating objects for use with databases.

English [en] · PDF · 2.2MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

lgli/Desconocido - Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 (2001, ).mobi

Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange—which is especially crucial in today's e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which—as you'll see—trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book's help you'll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you'll learn all rise above specific applications. Like XML data, they're flexible, and they'll serve you well in whatever context you're working.

English [en] · MOBI · 4.0MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

lgli/V:\comics\_0DAY\library.ebooks.computer.eng\sybex.pdf\Sybex XML Processing with Perl, Python and PHP (2002) [6793447C].pdf

XML Processing with Perl, Python, and PHP : Also Covers Tel, Rebol, Ruby, and AppleScript Brown, Martin C. Sybex, Incorporated, First Edition, US, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange-which is especially crucial in today2s e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which-as you2ll see-trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book2s help you2ll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you2ll learn all rise above specific applications. Like XML data, they2re flexible, and they2ll serve you well in whatever context you2re working.

English [en] · PDF · 1.9MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

nexusstc/XML Processing with Perl, Python, and PHP/2a77bc8d30a7430988b554d312e0b0b6.pdf

XML Processing with Perl, Python, and PHP : Also Covers Tel, Rebol, Ruby, and AppleScript Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is the leading standard for enabling business-to-business e-commerce, as well as any application that needs to communicate across different platforms. This book focuses on the application of XML when using scripting languages, because these languages make it easier to quickly build Web applications. Two of the most popular open-source languages are covered - Perl and Python - but there are chapters on PHP and several upstart languages, including Ruby and Rebol. The book gives coverage of the core XML processing issues, including the basics of parsing XML documents, converting XML to and from different formats (including HTML), and translating objects for use with databases.

English [en] · PDF · 4.0MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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XML Processing with Perl, Python, and PHP : Also Covers Tel, Rebol, Ruby, and AppleScript Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is the leading standard for enabling business-to-business e-commerce, as well as any application that needs to communicate across different platforms. This book focuses on the application of XML when using scripting languages, because these languages make it easier to quickly build Web applications. Two of the most popular open-source languages are covered - Perl and Python - but there are chapters on PHP and several upstart languages, including Ruby and Rebol. The book gives coverage of the core XML processing issues, including the basics of parsing XML documents, converting XML to and from different formats (including HTML), and translating objects for use with databases.

English [en] · DJVU · 3.1MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

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lgli/lncs4/Brown M.C. XML Processing with Perl, Python, and PHP (Sybex Inc, 2001)(ISBN 0782140211)(O)(447s).pdf

XML processing with Perl, Python and PHP : [also covers Tcl, Rebol, Ruby, and AppleScript Martin C. Brown Sybex, Incorporated, San Francisco, California, 2001

-The only book that focuses on the usage of XML with the most popular scripting languages, including Perl, Python, PHP, Ruby, Rebol, TCL, and Mac OS X's AppleScript. -Complete coverage of the core XML processing issues, including the basics of parsing XML documents, converting XML to and from different formats and translating objects for use with databases. -This book goes beyond the basics into advanced topics, such as using the SAX API for Perl, and using SOAP and XML-RPC to share XML formatted information over a network connection.

English [en] · PDF · 2.2MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/Desconocido - Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 (2001, ).azw3

Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange—which is especially crucial in today's e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which—as you'll see—trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book's help you'll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you'll learn all rise above specific applications. Like XML data, they're flexible, and they'll serve you well in whatever context you're working.

English [en] · AZW3 · 10.2MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

lgli/Desconocido - Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 (2001, ).epub

Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange—which is especially crucial in today's e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which—as you'll see—trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book's help you'll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you'll learn all rise above specific applications. Like XML data, they're flexible, and they'll serve you well in whatever context you're working.

English [en] · EPUB · 6.5MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

lgli/Unknown - Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 (2001, ).lit

Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange—which is especially crucial in today's e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which—as you'll see—trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book's help you'll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you'll learn all rise above specific applications. Like XML data, they're flexible, and they'll serve you well in whatever context you're working.

English [en] · LIT · 9.9MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

lgli/Desconocido - Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 (2001, ).pdf

Martin C Brown Xml Processing With Perl Python And Php Sybex Inc 2001 Martin C. Brown Sybex, Incorporated, 1st, 2001

XML is an elegant solution to the problem of data portability. Like all breakthroughs, however, it gives rise to new challenges. With XML, you can store and structure data for seamless, cross-platform exchange—which is especially crucial in today's e-commerce environments. But XML does no processing itself. To leverage XML data, you need to use a programming language. XML Programming with Perl, Python, and PHP teaches you to reap the special advantage of processing your XML with these and four other scripting languages, which—as you'll see—trump C, C++, and Java in a variety of ways. Along this path lie shorter development times and lower costs. At its end lie performance benefits such as superior text processing, memory management, and data modeling capabilities, as well as strategic benefits such as greater longevity and broader compatibility. Choose the language that makes the most sense for you and move ahead. With this book's help you'll master the execution of remote procedures, the internal modeling of XML data, the exporting of internal data into XML, and the conversion of XML to formats as varied as SQL, HTML, and proprietary configuration schemes. Application-specific examples keep you focused on the real world; at the same time, the scripting techniques you'll learn all rise above specific applications. Like XML data, they're flexible, and they'll serve you well in whatever context you're working.

English [en] · PDF · 2.2MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save

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nexusstc/Data Visualization with D3 4.x Cookbook/7724386410317e14360165c2b4362947.epub

Data Visualization with D3 4.x Cookbook - Second Edition : Discover Over 65 Recipes to Help You Create Breathtaking Data Visualizations Using the Latest Features of D3 Nick Qi Zhu Packt Publishing - ebooks Account, 2nd Revised edition, 2017

Key Features* Learn about D3 4.0 from the inside out and master its new features * Utilize D3 packages to generate graphs, manipulate data, and create beautiful presentations * Solve real-world visualization problems with the help of practical recipes Book DescriptionThis book gives you all the guidance you need to start creating modern data visualizations with D3 4.x that take advantage of the latest capabilities of JavaScript. The book starts with the basic D3 structure and building blocks and quickly moves on to writing idiomatic D3-style JavaScript code. You will learn how to work with selection to target certain visual elements on the page, then you will see techniques to represent data both in programming constructs and its visual metaphor. You will learn how map values in your data domain to the visual domain using scales, and use the various shape functions supported by D3 to create SVG shapes in visualizations. Moving on, you ll see how to use and customize various D3 axes and master transition to add bells and whistles to otherwise dry visualizations. You ll also learn to work with charts, hierarchy, graphs, and build interactive visualizations. Next you ll work with Force, which is one of the most awe-inspiring techniques you can add to your visualizations, and you ll implement a fully functional Choropleth map (a special purpose colored map) in D3. Finally, you ll learn to unit test data visualization code and test-driven development in a visualization project so you know how to produce high-quality D3 code. What you will learn* Get a solid understanding of the D3 fundamentals and idioms * Use D3 to load, manipulate, and map data to any kind of visual representation on the web * Create data-driven dynamic visualizations that update as the data does * Leverage the various modules provided by D3 to create sophisticated, dynamic, and interactive charts and graphics * Create data-driven transitions and animations within your visualizations * Understand and leverage more advanced concepts such as force, touch, and Geo data visualizations About the Author**Nick Zhu** is a professional programmer and data engineer with more than a decade experience in software development, big data, and machine learning. Currently, he is one of the founders and CTO of Yroo.com - meta search engine for online shopping. He is also the creator of dc.js a popular multidimensional charting library built on D3. Table of Contents1. Getting Started with D3.js 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with Your Visualization 11. Using Force 12. Knowing Your Map 13. Test Drive Your Visualization 14. Building Interactive Analytics in Minutes

English [en] · EPUB · 8.0MB · 2017 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/newsarch_ebooks/2018/03/06/9781785889776.epub

Learning R Programming : become an efficient data scientist with R Kun Ren Packt Publishing - ebooks Account, Packt Publishing, Birmingham, 2016

Key Features* Explore the R language from basic types and data structures to advanced topics * Learn how to tackle programming problems and explore both functional and object-oriented programming techniques * Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Book DescriptionR is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. What you will learn* Explore the basic functions in R and familiarize yourself with common data structures * Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization * Get acquainted with R’s evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression * Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems * Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis * Get to know high performance computing techniques such as parallel computing and Rcpp * Use web scraping techniques to extract information * Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more About the Author**Kun Ren** has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: * https://github.com/renkun-ken * https://cn.linkedin.com/in/kun-ren-76027530 * http://renkun.me/ * http://renkun.me/formattable/ * http://renkun.me/pipeR/ * http://renkun.me/rlist/ Table of Contents1. Quick Start 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

English [en] · EPUB · 9.2MB · 2016 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

nexusstc/Computational Statistics Handbook with MATLAB/7b1f8a44cd662ad80969803194403d74.pdf

Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) Wendy L. Martinez, Angel R. Martinez Chapman and Hall/CRC, Chapman & Hall/CRC Computer Science & Data Analysis, 1, 2002

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software. Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods. Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.

English [en] · PDF · 10.6MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/newsarch_ebooks/2019/11/10/1457186772.pdf

Make: Getting Started with P5.js : Making Interactive Graphics in JavaScript and Processing Lauren McCarthy, Casey Reas, and Ben Fry Maker Media, Inc, Make, 1, 2015

With p5.js, you can think of your entire Web browser as your canvas for sketching with code! Learn programming the fun way--by sketching with interactive computer graphics! Getting Started with p5.js contains techniques that can be applied to creating games, animations, and interfaces. p5.js is a new interpretation of Processing written in JavaScript that makes it easy to interact with HTML5 objects, including text, input, video, webcam, and sound. Like its older sibling Processing, p5.js makes coding accessible for artists, designers, educators, and beginners. Written by the lead p5.js developer and the founders of Processing, this book provides an introduction to the creative possibilities of today's Web, using JavaScript and HTML. With Getting Started with p5.js, you'll: * Quickly learn programming basics, from variables to objects * Understand the fundamentals of computer graphics * Create interactive graphics with easy-to-follow projects * Learn to apply data visualization techniques * Capture and manipulate webcam audio and video feeds in the browser

English [en] · PDF · 22.3MB · 2015 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

nexusstc/Computational Statistics Handbook with MATLAB/d4d39185d0e9284ca69315151102754c.pdf

Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) Wendy L. Martinez, Angel R. Martinez Chapman and Hall/CRC, Chapman & Hall/CRC Computer Science & Data Analysis, 1st, 2002

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software. Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods. Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.

English [en] · PDF · 19.3MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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nexusstc/PHP 7 Programming Blueprints/8b936ac9920ef8aba1bfad8381b1794c.pdf

PHP 7 programming blueprints develop production-ready web applications with PHP Jose Palala, Martin Helmich Packt Publishing - ebooks Account, Packt Publishing, Birmingham, UK, 2016

Key Features* Don t just learn PHP 7 follow a diverse range of practical knowledge to get started quickly * Take advantage of PHP 7 s newest features and find out how to use them to solve real development challenges * Put PHP to work for performance and scalability we ll show you how, you do it! Book DescriptionWhen it comes to modern web development, performance is everything. The latest version of PHP has been improvised and updated to make it easier to build for performance, improved engine execution, better memory usage, and a new and extended set of tools. If you re a web developer, what s not to love? This guide will show you how to make full use of PHP 7 with a range of practical projects that will not only teach you the principles, but also show you how to put them into practice. It will push and extend your skills, helping you to become a more confident and fluent PHP developer. You ll find out how to build a social newsletter service, a simple blog with a search capability using Elasticsearch, as well as a chat application. We ll also show you how to create a RESTful web service, a database class to manage a shopping cart on an e-commerce site and how to build an asynchronous microservice architecture. With further guidance on using reactive extensions in PHP, we re sure that you ll find everything you need to take full advantage of PHP 7. So dive in now! What you will learn* Build versatile projects using the newest features PHP 7 has to offer * Learn how to use PHP 7 s event-driven asynchronous features * Find out how to improve the performance of your code with effective techniques and design patterns * Get to grips with backend development and find out how to optimize session handling * Learn how to use the PHP 7 Abstract Syntax Tree to improve the quality of your code and make it more maintainable * Find out how to build a RESTful web service * Build your own asynchronous microservice About the Author**Jose Palala** has been working professionally with PHP for at least 8 years. He has experience working with PHP frameworks such as Eden PHP, CodeIgniter, Laravel and Zend. He has worked for Philippine-based IT companies for at least 8 years, working on projects ranging from internal corporate systems and CMS websites. In his spare time, he regularly contributes back to the tech community in the Philippines. **Martin Helmich** holds a Master's degree in Computer Science from the University of Applied Sciences in Osnabrück. He works as a software architect and specializes in building distributed applications using web technologies and Microservice Architectures. Besides programming in Go, PHP, Python and Node.JS, he also builds infrastructures using configuration management tools like SaltStack and container technologies like Docker. He is an open source enthusiast and likes to make fun of people who are not using Linux. In his free time, you'll probably find him coding on one of his open source pet projects, listening to music or reading science-fiction literature. Table of Contents1. Create a User Profile System and use the Null Coalesce Operator 2. Build a Database Class and Simple Shopping Cart 3. Building a Social Newsletter Service 4. Build a Simple Blog with Search Capability using Elasticsearch 5. Creating a RESTful Web Service 6. Building a Chat Application 7. Building an Asynchronous Microservice Architecture 8. Building a Parser and Interpreter for a Custom Language 9. Reactive Extensions in PHP

English [en] · PDF · 11.1MB · 2016 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/T:\lg_torr_restore_lg\313000/7b64152cf5252142c7ac221bce5aac5b.

Computational Statistics Handbook with MATLAB (Chapman & Hall/CRC Computer Science & Data Analysis) Wendy L. Martinez, Angel R. Martinez Chapman and Hall/CRC, Chapman & Hall/CRC Computer Science & Data Analysis, 1st, 2001

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with computational software. Focusing on the computational aspects of statistics rather than the theoretical, Computational Statistics Handbook with MATLAB uses a down-to-earth approach that makes statistics accessible to a wide range of users. The authors integrate the use of MATLAB throughout the book, allowing readers to see the actual implementation of algorithms, but also include step-by-step procedures to allow implementation with any suitable software. The book concentrates on the simulation/Monte Carlo point of view, and contains algorithms for exploratory data analysis, modeling, Monte Carlo simulation, pattern recognition, bootstrap, classification, cross-validation methods, probability density estimation, random number generation, and other computational statistics methods. Emphasis on the practical aspects of statistics, details of the latest techniques, and real implementation experience make the Computational Statistics Handbook with MATLAB more than just the first book to use MATLAB to solve computational problems in statistics. It also forms an outstanding, introduction to statistics for anyone in the many disciplines that involve data analysis.

English [en] · PDF · 4.6MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/newsarch_ebooks_2025_10/2018/08/19/1787127346_R.pdf

R : unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules Raghav Bali, Dipanjan Sarkar, Brett Lantz Packt Publishing Limited, Jun 19, 2017

Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner. About This Book \* Build your confidence with R and find out how to solve a huge range of data-related problems \* Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today \* Don't just learn - apply your knowledge by following featured practical projects covering everything from financial modeling to social media analysis Who This Book Is For Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science What You Will Learn \* Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results \* Implement R machine learning algorithms from scratch and be amazed to see the algorithms in action \* Solve interesting real-world problems using machine learning and R as the journey unfolds \* Write reusable code and build complete machine learning systems from the ground up \* Learn specialized machine learning techniques for text mining, social network data, big data, and more \* Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems \* Evaluate and improve the performance of machine learning models \* Learn specialized machine learning techniques for text mining, social network data, big data, and more In Detail R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it... This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you'll get to grips with the fundamentals of R. This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems. For the following two modules we'll begin to investigate machine learning algorithms in more detail. To build upon the basics, you'll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they're all focused on solving real problems in different areas, ranging from finance to social media. This Learning Path has been curated from three Packt products: \* R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar \* Machine Learning with R Learning - Second Edition By Brett Lantz \* Mastering Machine Learning with R By Cory Lesmeister Style and approach This is an enticing learning path that starts from the very basics to gradually pick up pace as the story unfolds. Each concept is first defined in the larger context of things succinctly, followed by a detailed explanation of their application. Each topic is explained with the help of a project that solves a real-world problem involving hands-on work thus giving you a deep insight into the world of machine learning.

English [en] · PDF · 27.6MB · 2017 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

nexusstc/Spark in Action/d1e77df3302d9d820cbd7172b9ddfc14.pdf

Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala Jean-Georges Perrin; Rob Thomas, (Information technology executive) Manning Publications Company; Manning; Manning Publications, 2nd edition, Erscheinungsort nicht ermittelbar, 2020

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition , you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Unlike many Spark books written for data scientists, Spark in Action, Second Edition is designed for data engineers and software engineers who want to master data processing using Spark without having to learn a complex new ecosystem of languages and tools. You’ll instead learn to apply your existing Java and SQL skills to take on practical, real-world challenges. Key Features · Lots of examples based in the Spark Java APIs using real-life dataset and scenarios · Examples based on Spark v2.3 Ingestion through files, databases, and streaming · Building custom ingestion process · Querying distributed datasets with Spark SQL For beginning to intermediate developers and data engineers comfortable programming in Java. No experience with functional programming, Scala, Spark, Hadoop, or big data is required. About the technology Spark is a powerful general-purpose analytics engine that can handle massive amounts of data distributed across clusters with thousands of servers. Optimized to run in memory, this impressive framework can process data up to 100x faster than most Hadoop-based systems. Author Bio An experienced consultant and entrepreneur passionate about all things data, Jean-Georges Perrin was the first IBM Champion in France, an honor he’s now held for ten consecutive years. Jean-Georges has managed many teams of software and data engineers.

English [en] · PDF · 37.7MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

lgli/P:\kat_magz\Assorted Books Collection - June 25 2020/Spark in Action, 2nd Edition.pdf

Spark in Action - Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala Perrin, Jean-Georges;Thomas, Rob Manning Publications Company; Manning; Manning Publications, 2nd edition, Erscheinungsort nicht ermittelbar, 2020

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In __Spark in Action, Second Edition__, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Unlike many Spark books written for data scientists, __Spark in Action, Second Edition__ is designed for data engineers and software engineers who want to master data processing using Spark without having to learn a complex new ecosystem of languages and tools. You’ll instead learn to apply your existing Java and SQL skills to take on practical, real-world challenges. **Key Features** · Examples based on Spark v2.3 Ingestion through files, databases, and streaming · Querying distributed datasets with Spark SQL For beginning to intermediate developers and data engineers comfortable programming in Java. No experience with functional programming, Scala, Spark, Hadoop, or big data is required. **About the technology** Spark is a powerful general-purpose analytics engine that can handle massive amounts of data distributed across clusters with thousands of servers. Optimized to run in memory, this impressive framework can process data up to 100x faster than most Hadoop-based systems. **Author Bio** **Jean-Georges Perrin**

English [en] · PDF · 20.5MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

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upload/newsarch_ebooks/2017/06/20/1584888911.pdf

Probability and Statistics with R Maria Dolores Ugarte, Ana F. Militino, Alan T. Arnholt Chapman and Hall/CRC, 1, PS, 2008

designed For An Intermediate Undergraduate Course, probability And Statistics With R Shows Students How To Solve Various Statistical Problems Using Both Parametric And Nonparametric Techniques Via The Open Source Software R. It Provides Numerous Real-world Examples, Carefully Explained Proofs, End-of-chapter Problems, And Illuminating Graphs To Facilitate Hands-on Learning. integrating Theory With Practice, The Text Briefly Introduces The Syntax, Structures, And Functions Of The S Language, Before Covering Important Graphically And Numerically Descriptive Methods. The Next Several Chapters Elucidate Probability And Random Variables Topics, Including Univariate And Multivariate Distributions. After Exploring Sampling Distributions, The Authors Discuss Point Estimation, Confidence Intervals, Hypothesis Testing, And A Wide Range Of Nonparametric Methods. With A Focus On Experimental Design, The Book Also Presents Fixed- And Random-effects Models As Well As Randomized Block And Two-factor Factorial Designs. The Final Chapter Describes Simple And Multiple Regression Analyses. demonstrating That R Can Be Used As A Powerful Teaching Aid, This Comprehensive Text Presents Extensive Treatments Of Data Analysis Using Parametric And Nonparametric Techniques. It Effectively Links Statistical Concepts With R Procedures, Enabling The Application Of The Language To The Vast World Of Statistics.

English [en] · PDF · 9.8MB · 2008 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

upload/newsarch_ebooks/2018/03/06/9781785889776.mobi

Learning R Programming : become an efficient data scientist with R Kun Ren Packt Publishing - ebooks Account, Packt Publishing, Birmingham, 2016

Key Features* Explore the R language from basic types and data structures to advanced topics * Learn how to tackle programming problems and explore both functional and object-oriented programming techniques * Learn how to address the core problems of programming in R and leverage the most popular packages for common tasks Book DescriptionR is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques. What you will learn* Explore the basic functions in R and familiarize yourself with common data structures * Work with data in R using basic functions of statistics, data mining, data visualization, root solving, and optimization * Get acquainted with R’s evaluation model with environments and meta-programming techniques with symbol, call, formula, and expression * Get to grips with object-oriented programming in R: including the S3, S4, RC, and R6 systems * Access relational databases such as SQLite and non-relational databases such as MongoDB and Redis * Get to know high performance computing techniques such as parallel computing and Rcpp * Use web scraping techniques to extract information * Create RMarkdown, an interactive app with Shiny, DiagramR, interactive charts, ggvis, and more About the Author**Kun Ren** has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: * https://github.com/renkun-ken * https://cn.linkedin.com/in/kun-ren-76027530 * http://renkun.me/ * http://renkun.me/formattable/ * http://renkun.me/pipeR/ * http://renkun.me/rlist/ Table of Contents1. Quick Start 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

English [en] · MOBI · 14.7MB · 2016 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

nexusstc/Getting Started with p5.js: Making Interactive Graphics in JavaScript and Processing/a2f729f05921388ad238e9cff7be4cc2.epub

Make: Getting Started with P5.js : Making Interactive Graphics in JavaScript and Processing Lauren McCarthy, Casey Reas and Ben Fry Maker Media, Inc, Make, 1, 2015

With p5.js, you can think of your entire Web browser as your canvas for sketching with code! Learn programming the fun way--by sketching with interactive computer graphics! Getting Started with p5.js contains techniques that can be applied to creating games, animations, and interfaces. p5.js is a new interpretation of Processing written in JavaScript that makes it easy to interact with HTML5 objects, including text, input, video, webcam, and sound. Like its older sibling Processing, p5.js makes coding accessible for artists, designers, educators, and beginners. Written by the lead p5.js developer and the founders of Processing, this book provides an introduction to the creative possibilities of today's Web, using JavaScript and HTML. With Getting Started with p5.js, you'll: * Quickly learn programming basics, from variables to objects * Understand the fundamentals of computer graphics * Create interactive graphics with easy-to-follow projects * Learn to apply data visualization techniques * Capture and manipulate webcam audio and video feeds in the browser

English [en] · EPUB · 21.9MB · 2015 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

nexusstc/PHP 7 Programming Blueprints/27faa03af47783c6370aa5ff8894925f.epub

PHP 7 programming blueprints develop production-ready web applications with PHP Jose Palala, Martin Helmich Packt Publishing - ebooks Account, Packt Publishing, Birmingham, UK, 2016

Key Features* Don t just learn PHP 7 follow a diverse range of practical knowledge to get started quickly * Take advantage of PHP 7 s newest features and find out how to use them to solve real development challenges * Put PHP to work for performance and scalability we ll show you how, you do it! Book DescriptionWhen it comes to modern web development, performance is everything. The latest version of PHP has been improvised and updated to make it easier to build for performance, improved engine execution, better memory usage, and a new and extended set of tools. If you re a web developer, what s not to love? This guide will show you how to make full use of PHP 7 with a range of practical projects that will not only teach you the principles, but also show you how to put them into practice. It will push and extend your skills, helping you to become a more confident and fluent PHP developer. You ll find out how to build a social newsletter service, a simple blog with a search capability using Elasticsearch, as well as a chat application. We ll also show you how to create a RESTful web service, a database class to manage a shopping cart on an e-commerce site and how to build an asynchronous microservice architecture. With further guidance on using reactive extensions in PHP, we re sure that you ll find everything you need to take full advantage of PHP 7. So dive in now! What you will learn* Build versatile projects using the newest features PHP 7 has to offer * Learn how to use PHP 7 s event-driven asynchronous features * Find out how to improve the performance of your code with effective techniques and design patterns * Get to grips with backend development and find out how to optimize session handling * Learn how to use the PHP 7 Abstract Syntax Tree to improve the quality of your code and make it more maintainable * Find out how to build a RESTful web service * Build your own asynchronous microservice About the Author**Jose Palala** has been working professionally with PHP for at least 8 years. He has experience working with PHP frameworks such as Eden PHP, CodeIgniter, Laravel and Zend. He has worked for Philippine-based IT companies for at least 8 years, working on projects ranging from internal corporate systems and CMS websites. In his spare time, he regularly contributes back to the tech community in the Philippines. **Martin Helmich** holds a Master's degree in Computer Science from the University of Applied Sciences in Osnabrück. He works as a software architect and specializes in building distributed applications using web technologies and Microservice Architectures. Besides programming in Go, PHP, Python and Node.JS, he also builds infrastructures using configuration management tools like SaltStack and container technologies like Docker. He is an open source enthusiast and likes to make fun of people who are not using Linux. In his free time, you'll probably find him coding on one of his open source pet projects, listening to music or reading science-fiction literature. Table of Contents1. Create a User Profile System and use the Null Coalesce Operator 2. Build a Database Class and Simple Shopping Cart 3. Building a Social Newsletter Service 4. Build a Simple Blog with Search Capability using Elasticsearch 5. Creating a RESTful Web Service 6. Building a Chat Application 7. Building an Asynchronous Microservice Architecture 8. Building a Parser and Interpreter for a Custom Language 9. Reactive Extensions in PHP

English [en] · EPUB · 7.3MB · 2016 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save

upload/newsarch_ebooks/2019/07/09/1785889710.pdf

PHP 7 programming blueprints develop production-ready web applications with PHP Jose Palala, Martin Helmich Packt Publishing - ebooks Account, Packt Publishing, Birmingham, UK, 2016

Key Features* Don t just learn PHP 7 follow a diverse range of practical knowledge to get started quickly * Take advantage of PHP 7 s newest features and find out how to use them to solve real development challenges * Put PHP to work for performance and scalability we ll show you how, you do it! Book DescriptionWhen it comes to modern web development, performance is everything. The latest version of PHP has been improvised and updated to make it easier to build for performance, improved engine execution, better memory usage, and a new and extended set of tools. If you re a web developer, what s not to love? This guide will show you how to make full use of PHP 7 with a range of practical projects that will not only teach you the principles, but also show you how to put them into practice. It will push and extend your skills, helping you to become a more confident and fluent PHP developer. You ll find out how to build a social newsletter service, a simple blog with a search capability using Elasticsearch, as well as a chat application. We ll also show you how to create a RESTful web service, a database class to manage a shopping cart on an e-commerce site and how to build an asynchronous microservice architecture. With further guidance on using reactive extensions in PHP, we re sure that you ll find everything you need to take full advantage of PHP 7. So dive in now! What you will learn* Build versatile projects using the newest features PHP 7 has to offer * Learn how to use PHP 7 s event-driven asynchronous features * Find out how to improve the performance of your code with effective techniques and design patterns * Get to grips with backend development and find out how to optimize session handling * Learn how to use the PHP 7 Abstract Syntax Tree to improve the quality of your code and make it more maintainable * Find out how to build a RESTful web service * Build your own asynchronous microservice About the Author**Jose Palala** has been working professionally with PHP for at least 8 years. He has experience working with PHP frameworks such as Eden PHP, CodeIgniter, Laravel and Zend. He has worked for Philippine-based IT companies for at least 8 years, working on projects ranging from internal corporate systems and CMS websites. In his spare time, he regularly contributes back to the tech community in the Philippines. **Martin Helmich** holds a Master's degree in Computer Science from the University of Applied Sciences in Osnabrück. He works as a software architect and specializes in building distributed applications using web technologies and Microservice Architectures. Besides programming in Go, PHP, Python and Node.JS, he also builds infrastructures using configuration management tools like SaltStack and container technologies like Docker. He is an open source enthusiast and likes to make fun of people who are not using Linux. In his free time, you'll probably find him coding on one of his open source pet projects, listening to music or reading science-fiction literature. Table of Contents1. Create a User Profile System and use the Null Coalesce Operator 2. Build a Database Class and Simple Shopping Cart 3. Building a Social Newsletter Service 4. Build a Simple Blog with Search Capability using Elasticsearch 5. Creating a RESTful Web Service 6. Building a Chat Application 7. Building an Asynchronous Microservice Architecture 8. Building a Parser and Interpreter for a Custom Language 9. Reactive Extensions in PHP

English [en] · PDF · 8.3MB · 2016 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save

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lgli/R:\ebooks\978-1-4919-4885-9\Python & XML_ XML Processing with Python by Christopher A. Jones, Fred L. Drake Jr.html

Python & XML XML Processing with Python Christopher A. Jones, Fred L. Drake Jr O'Reilly Media, Incorporated, O'Reilly Media, Sebastopol, CA, 2002

If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML. Python & XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers). The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network. Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.

English [en] · HTML · 0.1MB · 2002 · 📘 Book (non-fiction) · 🚀/lgli · Save

upload/misc_2025_10/infoark/600 Applied Science/621 Applied physics/621.381 Electronics/621.381547 Manuals, Heathkit/A/AG-10 Sine-Square Generator/._AG-10 Sine-Square Generator manual_Heath__621.381547_22880_.pdf

._AG-10 Sine-Square Generator manual_Heath__621.381547_22880_.pdf

English [en] · PDF · 0.1MB · 📗 Book (unknown) · 🚀/upload · Save

XML Processing with Perl, Python, and PHP : Also Covers Tel, Rebol, Ruby, and AppleScript Martin C. Brown Sybex, Incorporated, 1st, 2001

This book is okay, but is your development team really using all these languages? If you need to learn XML with a certain technology, get Professional PHP4 XML or Manning's new Java and XML book and many others. Not only do these books cover the same material as this one, they cover some really advanced topics such as architecture and design issues as well as giving you heads up on the latest versions such as php 4.3.0. This book also doesn't nearly tell you about all the potential problems that you can have with working with PHP where Professional PHP4 XML will answer just about every question you ever had plus everything else you didn't think of.

English [en] · DJVU · 2.2MB · 2001 · 📘 Book (non-fiction) · 🚀/lgli/lgrs · Save

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XML与Perl、Python和PHP编程指南/XML Processing with Perl, Python, and PHP (美)Martin C.Brown著;邱仲潘等译, (美)Martin C. Brown著 , 邱仲潘等译, Martin C Brown, 邱仲潘北京:电子工业出版社, 2002, 2002

本书介绍使用各种脚本语言分析, 处理与使用XML, 简要论述XML之后, 将深入这些语言并介绍它们如何提供利用XML功能的方案, 同时介绍一些重要协议如何实现无缝数据传输

Chinese [zh] · PDF · 18.3MB · 2002 · 📗 Book (unknown) · 🚀/duxiu/zlibzh · Save