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This book is available in our private library for reference during Python training courses.

All of our books (including "Python Essential Reference") are also available to guests at Well House Manor during their stay.
TITLE
Python Essential Reference
EDITION
2nd
ISBN
0-7357-1091-0
AUTHOR(S)
David M. Beazley
PUBLISHER
New Riders
PUBLISHED
2001
LEVEL(S)
2 to 4 [about levels]
Order Python Essential Reference from amazon.com
SYNOPSIS
Python Essential Reference, Second Edition, is the definitive guide to the Python programming language. Designed for programmers, it covers the core language, more than 100 modules in the standard library, and the techniques used to extend Python with compiled procedures in C or C++. Coverage expands upon and clarifies existing Python documentation - especially for advanced topics, including operating system interfaces, threads, network programming, and Unicode.

Concise, to the point, and extensively indexed, readers will find this volume packed with information not previously available in any other single reference source. Updated for Python 2.1, it is a must-have for any serious programmer wanting to develop advanced Python applications.

As a comprehensive reference to the Python programming language, this book will help you:
Learn about the features in Python 2.0 and 2.1
Master the details of Python types, operators, and the execution model
Discover the details of Unicode and internationalization support
Learn the details of operating system interfaces, threads, and network-programming modules
Build C/C++ extensions to Python
Make effective use of the Python library
Find the information you need to start developing advanced Python applications

ABOUT THE AUTHOR

David M. BeazleyDavid Beazley , the well-known author of the first edition of Python Essential Reference , is the developer of SWIG, a popular software package for integrating C and C++ software with interpreted languages including Python, Perl, and Tcl. David spent 7 years working in the Theoretical Physics Division at Los Alamos National Laboratory in New Mexico and has been at the forefront of integrating Python with high-performance simulation software running on parallel computers. He is currently a professor in the Department of Computer Science at the University of Chicago.
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