Portable, powerful, and a breeze to use, Python is ideal for both standalone programs and scripting applications. With this hands-on book, you can master the fundamentals of the core Python language quickly and efficiently, whether you're new to programming or just new to Python. Once you finish, you will know enough about the language to use it in any application domain you choose. Learning Python is based on material from author Mark Lutz's popular training courses, which he's taught over the past decade.

Non-Programmers Tutorial For Python is a tutorial designed to be an introduction to the Python programming language. This guide is for someone with no programming experience. Packed in a small pdf file (200 kB) and only around 50 pages. But this book is really a good start for someone who want to know farther on python programming.

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Dive Into Python is a Python book for experienced programmers. This book is offered in various format, including HTML, PDF, plain text, Microsoft Word and XML. Also, Dive into Python has been translated into many languages, so you can pick one suit to your needs.

We should warn you, this ebook is for experienced programmers only, if you aren’t a geek .. maybe you should consider A Non-Programmer Tutorial instead.

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Contents

* Front matter
* Invocation Options
* Environment variables
* Lexical entities : keywords, identifiers, string literals, boolean constants, numbers, sequences, dictionaries, operators
* Basic types and their operations: None, bool, Numeric types, sequence types, list, dictionary, string, file, set, date/time
* Advanced types
* Statements: assignment, control flow, exceptions, name space, function def, class def
* Iterators; Generators; Descriptors; Decorators
* Built-in Functions
* Built-in Exceptions

Free documents came to the rescue. Earlier in the year, Richard Stallman
had introduced me to Allen Downey. Both of us had written to Richard
expressing an interest in developing free educational materials. Allen had
already written a first-year computer science textbook, How to Think Like a
Computer Scientist. When I read this book, I knew immediately that I
wanted to use it in my class. It was the clearest and most helpful computer
science text I had seen. It emphasized the processes of thought involved in

As much as I can. I will cover the basic theory of computer programming - what it is, some of its history and the basic techniques needed to solve problems. I will not be teaching esoteric techniques or the details of any particular programming language, in fact I'll be using several different languages, since I believe its important to realize that different languages do different things well. That said, the majority of the course will be in the language called Python.

Table of Contents

* 1. Installing Python
* 2. Your First Python Program
* 3. Native Datatypes
* 4. The Power Of Introspection
* 5. Objects and Object-Orientation
* 6. Exceptions and File Handling
* 7. Regular Expressions
* 8. HTML Processing
* 9. XML Processing
* 10. Scripts and Streams
* 11. HTTP Web Services
* 12. SOAP Web Services
* 13. Unit Testing

* 14. Test-First Programming

* 15. Refactoring

* 16. Functional Programming

* 17. Dynamic functions

Python is probably one of the few programming languages which is both simple and powerful. This is good for both and beginners as well as experts, and more importantly, is fun to program with. This book aims to help you learn this wonderful language and show how to get things done quickly and painlessly - in effect 'The Perfect Anti-venom to your programming problems'.

This book serves as a guide or tutorial to the Python programming language. It is mainly targeted at newbies. It is useful for experienced programmers as well.