Books: 371

Python

CoverTitleYear
Distilling Rich Information from Messy Data
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how more » and why the solution works, so you can quickly adapt it to fit your particular needs. « less
2011
Automated Data Acquisition and Control Systems
Learn how to develop your own applications to monitor or control instrumentation hardware. Whether you need to acquire data from a device or automate its functions, this practical book shows you how to use Python's rapid development capabilities to build interfaces that include everything from software more » to wiring. You get step-by-step instructions, clear examples, and hands-on tips for interfacing a PC to a variety of devices. Use the book's hardware survey to identify the interface type for your particular device, and then follow detailed examples to develop an interface with Python and C. Organized by interface type, data processing activities, and user interface implementations, this book is for anyone who works with instrumentation, robotics, data acquisition, or process control. « less
2010
Powerful Object-Oriented Programming
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 more » 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. « less
2009
Analyzing Text with the Natural Language Toolkit
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 more » and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence. « less
2009
An Introduction to Computer Science Using Python
Welcome to computer science in the 21st century. Did you ever wonder how computers represent DNA? How they can download a web page containing population data and analyze it to spot trends? Or how they can change the colors in a color photograph? If so, this book is for you. By the time you're done, you'll more » know how to do all of that and a lot more. And Python makes it easy and fun. « less
2009
Python in Your Pocket
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 more » as version 2.6. You'll also quickly find exactly what you need with the handy index. « less
2009
Detailed Solutions in Eight Programming Languages
This cookbook provides more than 100 recipes to help you crunch data and manipulate text with regular expressions. With recipes for popular programming languages such as C#, Java, JavaScript, Perl, PHP, Python, Ruby, and VB.NET, Regular Expressions Cookbook will help you learn powerful new tricks, avoid more » language-specific gotchas, and save valuable time with this library of proven solutions to difficult, real-world problems. « less
2009
Efficient Problem Solving with Python
Python is an ideal language for solving problems, especially for Linux and Unix. With this pragmatic book, administrators can review various tasks that often occur in the management of these systems, and learn how Python can provide a more efficient way to handle them. Once you finish this book, you'll more » be able to develop your own set of command-line utilities with Python to tackle a wide range of problems. « less
2008
Need to extract data from a text file or a web page? Or do you want to make your application more flexible with user-defined commands or search strings? Do regular expressions and lex/yacc make your eyes blur and your brain hurt? Pyparsing could be the solution. Pyparsing is a pure-Python class library more » that makes it easy to build recursive-descent parsers quickly. There is no need to handcraft your own parsing state machine. With pyparsing, you can quickly create HTML page scrapers, logfile data extractors, or complex data structure or command processors. This Short Cut shows you how! « less
2007
Regular Expressions for Perl, Ruby, PHP, Python, C, Java and .NET
This handy little book offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as a quick reference, Regular Expression Pocket Reference covers the regular expression APIs for Perl 5.8, Ruby (including more » some upcoming 1.9 features), Java, PHP, .NET and C#, Python, vi, JavaScript, and the PCRE regular expression libraries. « less
2007