Introduction to Computer Science and Programming | Electrical Engineering and Computer Science. Code Like a Pythonista: Idiomatic Python. In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt.
There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license. My credentials: I am a resident of Montreal,father of two great kids, husband of one special woman,a full-time Python programmer,author of the Docutils project and reStructuredText,an editor of the Python Enhancement Proposals (or PEPs),an organizer of PyCon 2007, and chair of PyCon 2008,a member of the Python Software Foundation,a Director of the Foundation for the past year, and its Secretary.
In the tutorial I presented at PyCon 2006 (called Text & Data Processing), I was surprised at the reaction to some techniques I used that I had thought were common knowledge. Many of you will have seen some of these techniques and idioms before. These are the guiding principles of Python, but are open to interpretation. Import this. Python Programming. Python Programming From Wikibooks, open books for an open world Jump to: navigation, search This book describes Python, an open-source general-purpose interpreted programming language available for a broad range of operating systems.
There are currently three major implementations: the standard implementation written in C, Jython written in Java, and IronPython written in C# for the .NET environment. There are two common versions currently in use: 2.x and 3.x. This book describes primarily version 2, but does at times reference changes in version 3. Contents[edit] Intro[edit] Overview Getting Python Setting it up Interactive mode Self Help Basics[edit] Creating Python programs Variables and Strings Basic syntax Sequences (Strings, Lists, Tuples, Dictionaries, Sets) Data types Numbers Strings Lists Tuples Dictionaries Sets Basic Math -- redundant to "Operators" Operators Control Flow Decision Control Conditional Statements Loops Functions Scoping Input and output Files Text Modules Classes Exceptions Errors Idioms Decorators. References | Introduction to Computer Science and Programming | Electrical Engineering and Computer Science. A Byte of Python.
Dive Into Python. Introduction to Computation and Programming Using Python. Think Python. Amazon. Amazon. The Art and Craft of Programming. Learn Python The Hard Way, 2nd Edition — Learn Python The Hard Way, 2nd Edition.
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