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Год выпуска: 2009
Автор Alan Harris
Издательство: Apress
ISBN: 1-4302-1962-9
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 310
Описание: IronPython represents a unique direction for developers interested in working with dynamic languages within the .NET Framework. Whether you’re looking to develop applications from scratch or add functionality and maintainability to an existing application, IronPython opens many doors while providing a high–speed, high–performance language that integrates tightly with other .NET languages.
Learn to create applications using the benefits of a dynamically typed language.
Discover how to leverage the power of IronPython to improve existing applications.
Explore interacting with other .NET languages by invoking the common language runtime.
What you’ll learn
Write IronPython console and forms applications.
Integrate IronPython scripts into existing applications to increase their functionality.
Implement complex data patterns and interact with databases.
Use the common language runtime to take advantage of .NET’s existing framework within IronPython scripts.
Understand how IronPython can be brought in to solve a variety of programming tasks through extensive exercises and recipes.
Avoid the common pitfalls of working with a dynamically typed language.
Who is this book for?
This book is designed for .NET developers interested in expanding their IronPython skills and learning how to make use of them to improve their daily programming practices. It will introduce core concepts of IronPython programming using a .NET–centric approach. Additionally, it will speak to Python developers looking to expand into their skills into the .NET world. Experience with a .NET language is expected. Previous Python experience is not necessary. |
 Год выпуска: 2009
Автор Steven Bird, Ewan Klein, Edward Loper
Издательство: O'Reilly
ISBN: 0-596-51649-5
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 502
Описание: This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. You'll learn how to write Python programs to analyze the structure and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence.
Full Description
This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large collections of unstructured text. You'll access richly-annotated datasets using a comprehensive range of linguistic data structures. And you'll understand the main algorithms for analyzing the content and structure of written communication.
Packed with examples and exercises, Natural Language Processing with Python will help you:
Extract information from unstructured text, to guess the topic or identify "named entities"
Analyze linguistic structure in text, including parsing and semantic analysis
Access popular linguistic databases, including WordNet and treebanks
Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence
Perfect for individual study, or as a classroom and workshop textbook, this book will help you gain practical skills in Natural Language Processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
If you're interested in developing Web applications, analyzing multilingual news sources, documenting endangered languages, or if you are simply curious to have a programmer's perspective on how human language works, you will find Natural Language Processing with Python both fascinating and immensely useful. |
 Год выпуска: 2008
Автор Mark Summerfield
Издательство: Addison-Wesley Professional
ISBN: 0-13-712929-7
Формат: CHM
Качество: eBook (изначально компьютерное)
Количество страниц: 552
Описание: Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3’s features and idioms. The first book written from a completely "Python 3” viewpoint, Programming in Python 3 brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own.
Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won’t find anywhere else. He begins by illuminating Python’s "beautiful heart”: the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise–one concept and hands-on example at a time. This book’s coverage includes
Developing in Python using procedural, object-oriented, and functional programming paradigms
Creating custom packages and modules
Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing
Leveraging advanced data types, collections, control structures, and functions
Spreading program workloads across multiple processes and threads
Programming SQL databases and key-value DBM files
Utilizing Python’s regular expression mini-language and module
Building usable, efficient, GUI-based applications
Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, and more
Programming in Python 3serves as both tutorial and language reference, and it is accompanied by extensive downloadable example code–all of it tested with the final version of Python 3 on Windows, Linux, and Mac OS X. |
 Год выпуска: 2009
Автор: Макл Саммерфилд
Издательство: Символ-Плюс
ISBN: 978-5-93286-161-5
Формат: DjVu
Качество: OCR без ошибок
Количество страниц: 608
Описание: Третья версия языка Python сделала его еще более мощным, удобным, логичным и выразительным. Книга "Программирование на Python 3" написана одним из ведущих специалистов по этому языку, обладающим многолетним опытом работы с ним. Издание содержит все необходимое для практического освоения языка: написания любых программ с использованием как стандартной библиотеки, так и сторонних библиотек для языка Python 3, а также создания собственных библиотечных модулей.
Автор начинает с описания ключевых элементов Python, знание которых необходимо в качестве базовых понятий. Затем обсуждаются более сложные темы, поданные так, чтобы читатель мог постепенно наращивать свой опыт: распределение вычислительной нагрузки между несколькими процессами и потоками, использование сложных типов данных, управляющих структур и функций, создание приложений для работы с базами данных SQL и с файлами DBM.
Книга может служить как учебником, так и справочником. Текст сопровождается многочисленными примерами, доступными на специальном сайте издания. Весь код примеров был протестирован с окончательным релизом Python 3 в ОС Windows, Linux и Mac OS X. |
 Год: 2008
Автор: Jeff Younker / Джефф Юнкер
Издательство: Apress
ISBN: 978-1-59059-981-5
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 417
Описание: If you’re embarking on a Python development project, then you should buy this book—there’s
nothing quite like it. I know this because I was looking for it last year, and I couldn’t find it.
This book introduces the tools you’ll need to get started on agile projects in Python, and
unlike any other book out there, it shows you how to tie them all together.
Sure, there are many good books on agile development. A lot of them cover the develop-
ment processes in great detail, and this is a good thing. Agile development is very much about
human interactions and the environment surrounding software development, but there is a
whole ecology of tooling to make everything work at a practical level.
Agile development eschews extensive up-front specification, and it anticipates that the
product will constantly change, but it puts in place rigorous checks to compensate for antici-
pated change. Testing is an integral part of agile development from the very start, and it is
pursued with ferocious rigor. You need software tools to facilitate testing.
Agile projects have very short release cycles, and this has implications for tooling, too.
There’s no way to have two-week release cycles if it takes you days to integrate changes, days
to perform QA, and days to package and deploy the software. This means that agile develop-
ment puts a high value on build and release automation.
While agile development techniques can be applied to any project, both testing tools and
build automation tend to be very language specific. These tools do exist in Python. They’re
widely available, and by and large they’re free, too, but the documentation tends to be . . .
um . . . spotty. And while there may be documentation on the individual tools, the documenta-
tion telling you how to tie these tools together is usually sparse to nonexistent. This book
provides that missing documentation. |
 Год: 2010
Автор: Magnus Lie Hetland
Издательство: Apress
ISBN: 1430232374, 978-1430232377
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 337
Описание: Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner.
The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs.
Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.
What you’ll learn
Transform new problems to well-known algorithmic problems with efficient solutions, or show that the problems belong to classes of problems thought not to be efficiently solvable.
Analyze algorithms and Python programs both using mathematical tools and basic experiments and benchmarks.
Prove correctness, optimality, or bounds on approximation error for Python programs and their underlying algorithms.
Understand several classical algorithms and data structures in depth, and be able to implement these efficiently in Python.
Design and implement new algorithms for new problems, using time-tested design principles and techniques.
Speed up implementations, using a plethora of tools for high-performance computing in Python.
Who this book is for
The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of Computer Science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful. |
 Год выпуска: 2009
Автор: Mark Lutz
Издательство: O'Reilly
ISBN: 0-596-80598-5
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 1216
Описание: Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python 3.0 quickly. Each chapter includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go.
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course.
Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.
Learn about Python's major built-in object types, such as numbers, lists, and dictionaries
Create and process objects using Python statements, and learn Python's general syntax model
Structure and reuse code using functions, Python's basic procedural tool
Learn about Python modules: packages of statements, functions, and other tools, organized into larger components
Discover Python's object-oriented programming tool for structuring code
Learn about the exception-handling model, and development tools for writing larger programs
Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing |
 Год: 2010
Автор: Бизли Д.
Жанр: Программирование
Издательство: СПб.: Символ-Плюс
ISBN: 978-5-93286-157-8
Язык: Русский
Формат: PDF
Качество: Отсканированные страницы
Количество страниц: 858
Описание: Авторитетное руководство и детальный путеводитель по языку программирования Python предназначен для практикующих программистов. Книга компактна, нацелена на суть дела и написана очень доступным языком. Детально обсуждаются не только ядро языка, но и наиболее важные части стандартной библиотеки Python. Дополнительно освещается ряд тем, которые не рассматриваются ни в официальной документации, ни в каких-либо других источниках.
Читателю предлагается практическое знакомство с особенностями Python, включая генераторы, сопрограммы, замыкания, метаклассы и декораторы. Подробно описаны новые модули, имеющие отношение к разработке многозадачных программ, использующих потоки управления и дочерние процессы, а также предназначенные для организации сетевых взаимодействий и работы с системными службами.
В полностью переработанном и обновленном четвертом издании улучшена организация материала, что позволяет еще быстрее находить ответы на вопросы и обеспечивает еще большее удобство работы со справочником. Книга отражает наиболее существенные нововведения в языке и в стандартной библиотеке, появившиеся в Python 2.6 и Python 3. |
Год выпуска: 2009
Автор: Mark Lutz
Язык: Английский
Издательство: O’Reilly
ISBN: 978-0-596-15808-8
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 210
Описание: This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.x as well as version 2.6. You'll also quickly find exactly what you need with the handy index.
This edition covers:
•Built-in object types, including numbers, lists, dictionaries, and more
•Statements and syntax for creating and processing objects
•Functions and modules for structuring and reusing code
•Python's object-oriented programming tools
•The exception-handling model
•Built-in functions, exceptions, and attributes
•Special operator overloading methods
•Widely used standard library modules and extensions
•Command-line options and development tools
•Python idioms and hints |
 Год выпуска: 2010
Автор: James Payne
Издательство: WROX
ISBN: 0470414634
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 624
Описание: Beginning Python: Using Python 2.6 and Python 3.1 introduces this open source, portable, interpreted, object-oriented programming language that combines remarkable power with clear syntax. This book enables you to quickly create robust, reliable, and reusable Python applications by teaching the basics so you can quickly develop Web and scientific applications, incorporate databases, and master systems tasks on various operating systems, including Linux, MAC OS, and Windows. You’ll get a comprehensive tutorial that guides you from writing simple, basic Python scripts all the way through complex concepts, and also features a reference of the standard modules with examples illustrating how to implement features in the various modules. Plus, the book covers using Python in specific program development domains, such as XML, databases, scientific applications, network programming, and Web development. |
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