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 Год выпуска: 2007
Автор: Juergen Scheible, Ville Tuulos
Издательство: Wiley
ISBN: 0470515058
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 349
Описание: Mobile Python is the introduction of Python programming language to the mobile space. This practical hands-on book teaches readers how to realize their application ideas on the Symbian OS. Programming on the Symbian mobile platform has been difficult and time consuming in the past.
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 Год: 2010
Автор: Greg Lee Turnquist / Грэг Лии Турнквист
Жанр: Программирование
Издательство: Packt Publishing
ISBN: 1849510660, 978-1849510660
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 264
Описание: Create powerful and versatile Spring Python applications using pragmatic libraries and useful abstractions
Maximize the use of Spring features in Python and develop impressive Spring Python applications
Explore the versatility of Spring Python by integrating it with frameworks, libraries, and tools
Discover the non-intrusive Spring way of wiring together Python components
Packed with hands-on-examples, case studies, and clear explanations for better understanding
In Detail
Spring Python captures the concepts of the Spring Framework and Spring Security and brings them to the world of Python and provides many functional parts to assemble applications. Spring Python is all about using the many useful features of Spring to the fullest and making these features available when working with Python.
Get to grips with all of the concepts of Spring and apply these to the language and environment of Python to develop powerful applications for your own personal requirements. The book provides an introduction to Spring Python and steadily takes you towards the advanced features that this integration has to offer.
Spring uses the Java programming language. Spring Python, the first Spring extension to go live, allows developers to make maximum use of Spring features in Python. This book starts off by introducing each of the core building blocks of Spring Python using real code examples and high-level diagrams. It explores the various concepts of Spring Python with the help of examples and case studies and focuses on vital Spring Python features to make the lives of Python and Java developers simple. The early chapters cover simple applications with simple operations including data access, and then subsequent chapters scale up to multi-node, secured, transactional applications stopping short of very advanced level complexity. |
 Год выпуска: 2005
Автор: Jaan Kiusalaas
Жанр: Пособие
Издательство: Cambridge University Press
ISBN: 9780521852876
Язык: Английский
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 432
Описание: Numerical Methods in Engineering with Python is a text for engineering students and a reference for practicing engineers, especially those who wish to explore the power and efficiency of Python. The choice of numerical methods was based on their relevance to engineering problems. Every method is discussed thoroughly and illustrated with problems involving both hand computation and programming. Computer code accompanies each method and is available on the book web site. This code is made simple and easy to understand by avoiding complex book-keeping schemes, while maintaining the essential features of the method Python was chosen as the example language because it is elegant, easy to learn and debug, and its facilities for handling arrays are unsurpassed. Moreover, it is an open-source software package that can be downloaded freely on theweb. Python is a great language for teaching scientific computation.
Contents
1. Introduction to Python; 2. Systems of linear algebraic equations; 3. Interpolation and curve fitting; 4. Roots of equations; 5. Numerical differentiation; 6. Numerical integration; 7. Initial value problems; 8. Two-point boundary value problems; 9. Symmetric Matrix Eigenvalue problems; 10. Introduction to optimization; Appendices. |
 Год выпуска: 2010
Автор: Vernon L. Ceder
Жанр: Пособие
Издательство: MANNING
ISBN: 978-1935182207
Язык: Английский
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 362
Описание: The Quick Python Book, Second Edition, is a clear, concise introduction to Python 3, aimed at programmers new to Python. This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.
The book begins with basic but useful programs that teach the core features of syntax, control flow, and data structures. It then moves to larger applications involving code management, object-oriented programming, web development, and converting code from earlier versions of Python.
True to his audience of experienced developers, the author covers common programming language features concisely, while giving more detail to those features unique to Python. |
 Год выпуска: 2009
Автор: David M. Beazley
Язык: Английский
Издательство: Addison-Wesley
ISBN: 978-0672329784
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 744
Описание: Python Essential Reference is the definitive reference guide to the Python programming language — the one authoritative handbook that reliably untangles and explains both the core Python language and the most essential parts of the Python library.
Designed for the professional programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source.
Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the definitive guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3. Programmers starting a new Python project will find detailed coverage of contemporary Python programming idioms.
This fourth edition of Python Essential Reference features numerous improvements, additions, and updates:
Coverage of new language features, libraries, and modules
Practical coverage of Python's more advanced features including generators, coroutines, closures, metaclasses, and decorators
Expanded coverage of library modules related to concurrent programming including threads, subprocesses, and the new multiprocessing module
Up-to-the-minute coverage of how to use Python 2.6’s forward compatibility mode to evaluate code for Python 3 compatibility
Improved organization for even faster answers and better usability
Updates to reflect modern Python programming style and idioms
Updated and improved example code
Deep coverage of low-level system and networking library modules — including options not covered in the standard documentation |
 Год: 2010
Автор: Jacob Perkins
Издательство: Packt Publishing
ISBN: 1849513600, 978-1849513609
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 272
Описание: Use Python's NTLK suite of libraries to maximize your Natural Language Processing capabilities.
Quickly get to grips with Natural Language Processing - with Text Analysis, Text Mining, and beyond.
Learn how machines and crawlers interpret and process natural languages.
Easily work with huge amounts of data and learn how to handle distributed processing.
Part of Packt's Cookbook series: Each recipe is a carefully organized sequence of instructions to complete the task as efficiently as possible.
In Detail
Natural Language Processing is used everywhere - in search engines, spell checkers, mobile phones, computer games - even your washing machine. Python's Natural Language Toolkit (NTLK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. You want to employ nothing less than the best techniques in Natural Language Processing - and this book is your answer.
Python Text Processing with NTLK 2.0 Cookbook is your handy and illustrative guide, which will walk you through all the Natural Language Processing techniques in a step-by-step manner. It will demystify the advanced features of text analysis and text mining using the comprehensive NTLK suite.
This book cuts short the preamble and you dive right into the science of text processing with a practical hands-on approach.
Get started off with learning tokenization of text. Get an overview of WordNet and how to use it. Learn the basics as well as advanced features of Stemming and Lemmatization. Discover various ways to replace words with simpler and more common (read: more searched) variants. Create your own corpora and learn to create custom corpus readers for JSON files as well as for data stored in MongoDB. Use and manipulate POS taggers. Transform and normalize parsed chunks to produce a canonical form without changing their meaning. Dig into feature extraction and text classification. Learn how to easily handle huge amounts of data without any loss in efficiency or speed. |
 Год выпуска: 2009
Автор: Hans Petter Langtangen
Жанр: Computer Programming
Издательство: Springer
ISBN: 978-3-642-02474-0
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 726
Описание: The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python is also quite similar to Matlab and a good language for doing mathematical computing. It is easy to combine Python with compiled languages, like Fortran, C, and C++, which are widely used languages for scientific computations. A seamless integration of Python with Java is offered by a special version of Python called Jython.
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 Год выпуска: 2010
Автор: Daniel Arbuckle
Издательство: Packt Publishing
ISBN: 978-1847198846
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 255
Описание: Automated testing moves much of the labor of testing off the developer and makes it easier as well as quicker to find bugs and fix them. Automated tests run faster, increase test coverage, and lower costs. However, testing is neither an easy process nor remotely exciting for most developers. But with the right techniques and tools, testing can become a simple and gratifying part of the development process.
With this helpful guide – from an expert – in your hand, testing will not be a tiresome topic for you anymore. You will learn how to test your Python projects in the easiest way, making other parts of the development process easier and more enjoyable.
This book covers the tools and techniques of automated testing and test-driven development. Starting from the very basics, the chapters introduce new tools and techniques in simple, accessible language with step-by-step examples. You will explore how to make testing easier and more accurate with Python’s doctest module and learn test-driven development using the unittest framework. You will also learn how to keep your units separate from each other and discover a simple and easy way to integrate Mocker and unittest. Next, we cover integration testing and web application testing. |
 Год выпуска: 2010
Автор: Jaan Kiusalaas
Жанр: Пособие
Издательство: Cambridge University Press
ISBN: 0521191327
Язык: Английский
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 432
Описание: Numerical Methods in Engineering with Python, 2nd Edition is intended for engineering students and as a reference for practicing engineers interested in exploring Python. This new edition features 18 more exercises, more robust computer codes, and the addition of rational function interpolation, Ridder's method, and the downhill simplex method. |
 Год: 2010
Автор: Albert Lukaszewski
Издательство: Packt
ISBN: 1849510180
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Количество страниц: 440
Описание: Python is a dynamic programming language, which is completely enterprise ready, owing largely to the variety of support modules that are available to extend its capabilities. In order to build productive and feature-rich Python applications, we need to use MySQL for Python, a module that provides database support to our applications. Although you might be familiar with accessing data in MySQL, here you will learn how to access data through MySQL for Python efficiently and effectively.
This book demonstrates how to boost the productivity of your Python applications by integrating them with the MySQL database server, the world's most powerful open source database. It will teach you to access the data on your MySQL database server easily with Python's library for MySQL using a practical, hands-on approach. Leaving theory to the classroom, this book uses real-world code to solve real-world problems with real-world solutions.
The book starts by exploring the various means of installing MySQL for Python on different platforms and how to use simple database querying techniques to improve your programs. It then takes you through data insertion, data retrieval, and error-handling techniques to create robust programs. The book also covers automation of both database and user creation, and administration of access controls. As the book progresses, you will learn to use many more advanced features of Python for MySQL that facilitate effective administration of your database through Python. Every chapter is illustrated with a project that you can deploy in your own situation.
By the end of this book, you will know several techniques for interfacing your Python applications with MySQL effectively so that powerful database management through Python becomes easy to achieve and easy to maintain.
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