Python Programming

The world of Python programming is booming! Get a slice of the action. Have you always wanted to be a part of the programming world, but things seem confusing and complicated so you’ve never gone through with it?

Whether you're an experienced programmer looking to get into Python or a grizzled Python veteran who remembers the days when you had to import the string module, Dive Into Python is your 'desert island' Python book. If you've never programmed before, Python is an excellent language to learn modern programming techniques. This is a reprint of the original 2004 publication.

This book's easygoing approach is ideal, no matter what your background. The approach starts with simple algorithmic code and then scales into working with functions, objects, and classes as the problems become more complex and require new abstraction mechanisms.

An introduction to computer programming, using the easy, yet powerful, Python programming language. Python, a cross-platform language used by such organizations as Google and NASA, lets you work quickly and efficiently, allowing you to concentrate on your work rather than the language.

This book covers the entire standard library, everything from modules that are as much a part of the Python language as the types and statements defined by the language specification, to obscure modules that are probably useful only to a small number of programs.

This book 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.

This is a simple book to learn Python programming language, it is for the programmers who are new to Python.

This manual provides an introduction to Python, an easy to learn object-oriented programming language. Python combines power with clear syntax. It has modules, classes, exceptions, very high level data types, and dynamic typing. Python can link directly to libraries written in C or C++ and can be embedded as an extension language for applications that need a programmable interface. Python is free software. It can be used with GNU (GNU/Linux), Unix, Microsoft Windows and many other systems.

This book is for anyone who wants to understand Python programming. It is degigned as partly a tutorial and partly a reference of Python.

This manual is intended for advanced users who need a complete description of the Python 3 language syntax and object system.

Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python Succinctly, lack of experience isn't an obstacle to programming language mastery.

This book is written to provide all the essential information to get you programming in Python 3. The book starts by running through the basics of the language before showing you how to use some of the powerful libraries included in Python 3.

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

This book summarises a number of core ideas relevant to Computational Engineering and Scientific Computing using Python. The emphasis is on introducing some basic Python (programming) concepts that are relevant for numerical algorithms.

Think Python is an introduction to Python programming for students with no programming experience. It starts with the most basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.