Python Pocket Reference, 5th Edition

Description:

Updated for both Python 3.4 and 2.7, this convenient pocket guideis the perfect on-the-job quick reference. You'll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need. Written by Mark Lutz - widely recognized as the world's leading Python trainer - Python Pocket Reference is an ideal companion to O'Reilly's classic Python tutorials, Learning Python and Programming Python, also written by Mark.

Author:

Mark Lutz

Publisher:

O'Reilly Media

Language:

English

Python Tools for Visual Studio

Description:

Python Tools for Visual Studio is a free and open source plugin for Visual Studio from Microsoft. It enables developers to use all the major productivity features of Visual Studio in their projects. The powerful integrated code navigation and code completion tools (IntelliSense) in PTVS empower developers to significantly speed up the coding process. PTVS provides a unique IDE for either Python or IronPython languages, taking advantage of the .NET framework in plain Python projects. This book provides a detailed insight into Python tools in Visual studio to help Python developers implement a more productive and efficient workflow.

Author:

Martino Sabia, Cathy Wang

Publisher:

Packt Publishing

Language:

English

Python Network Programming Cookbook

Description:

This book highlights major aspects of network programming in Python starting from writing simple networking clients, to developing complex screen-scraping and network securitymonitoring scripts. It creates the building blocks for many practical web and networking applications that rely on various networking protocols. This book presents the power and beauty of Python in solving the numerous real-world tasks in the area of network programming, system and network administration, network monitoring, and web-application development. This book develops your ability to solve a wide range of network programming tasks in Python. We will start by exploring the Python standard library functions to create client/server network and manipulate your local networking resources available under both IPv4 and IPv6. The practical focus continues with creating web and email clients, scraping web pages, fetching information from various websites, and searching for information on the Web such as Amazon, Flickr, and other sites. It further develops your skills to analyze yournetwork security vulnerabilities using advanced network packet capture and analysis techniques.

Author:

Dr. M. O. Faruque Sarker

Publisher:

Packt Publishing

Language:

English

Parallel Programming with Python

Description:

Starting with the basics of parallel programming, you will proceedto learn about how to build parallel algorithms and their implementation. You will then gain the expertise to evaluateproblem domains, identify if a particular problem can be parallelized, and how to use the Threading and Multiprocessor modules in Python. The Python Parallel (PP) module, which is another mechanism for parallel programming, is covered in depth to help you optimize the usage of PP. You will also delve into using Celery to perform distributed tasks efficiently and easily. Furthermore, you will learn about asynchronous I/O using the asyncio module. Finally, by the end of this book you will acquire an in-depth understanding about what the Python language has to offer in terms of built-in and external modules for an effective implementation of Parallel Programming.

Author:

Jan Palach

Publisher:

Packt Publishing

Language:

English

Python Algorithms, 2nd Edition

Description:

Python Algorithms, 2nd Edition 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 in a highly readable manner. It 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.

Author:

Magnus Lie Hetland

Publisher:

Apress

Language:

English

Pro Python System Administration, 2nd Edition

Description:

Pro Python System Administration, 2nd Edition explains and showshow to apply Python scripting in practice. It will show you how to approach and resolve real-world issues that most system administrators will come across in their careers. This book has been updated using Python 2.7 and Python 3 where appropriate. It also uses various new and relevant open source projects and tools that should now be used in practice. In this updated edition, you will find several projects in the categories of network administration, web server administration, and monitoring and database management. In each project, the author will define the problem, design the solution, and go through the more interesting implementation steps. Each project is accompanied by the source code of a fully working prototype, which you'll be able to use immediately or adapt to your requirements and environment.

Author:

Rytis Sileika

Publisher:

Apress

Language:

English

Python 3 Text Processing with NLTK 3 Cookbook

Description:

This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll learn how various text corpora are organized, as well as how to create your own custom corpus. Then, you'll move onto text classification with a focus on sentiment analysis. And because NLP can be computationally expensive on large bodies of text, you'll try a few methods for distributed text processing. Finally, you'll be introduced to a number of other small but complementary Python libraries for text analysis, cleaning, and parsing.

Author:

Jacob Perkins

Publisher:

Packt Publishing

Language:

English