Think Python: How to Think Like a Computer Scientist How to Think Like a Computer Scientist by Allen B. Downey This is the first edition of Think Python. Buy this book at Amazon.com Download Think Python in PDF. Read Think Python in HTML. Example programs and solutions to some problems are here (links to specific examples are in the book). Description Think Python is an introduction to Python programming for beginners. Some examples and exercises are based on Swampy, a Python package written by the author to demonstrate aspects of software design, and to give readers a chance to experiment with simple graphics and animation. Think Python is a Free Book. If you have comments, corrections or suggestions, please send me email at feedback{at}thinkpython{dot}com. Other Free Books by Allen Downey are available from Green Tea Press. Download Precompiled copies of the book are available in PDF. Python 3.0 Most of the book works for Python 2.x and 3.0. Michael Kart at St. Earlier Versions Translations and adaptations
C Sharp Programming C sharp musical note Introduction[edit] Main introduction: C Sharp Programming/Foreword Foreword A description of the C# language and introduction to this Wikibook. Getting started with C# A simple C# program and where to get tools to compile it. Basics[edit] Basic syntax Describes the basics in how the applications you write will be interpreted. Naming conventions Quickly describes the generally accepted naming conventions for C#. Variables The entities used to store data of various shapes. Operators Summarizes the operators, such as the '+' in addition, available in C#. Data structures Enumerations, structs, and more. Control statements Loops, conditions, and more. Exceptions Responding to errors that can occur. Classes[edit] Namespaces Giving your code its own space to live in. Classes The blueprints of objects that describes how they should work. Objects Cornerstones of any object-oriented programming language, objects are the tools you use to perform work. Encapsulation and accessor levels Inheritance Generics
Think Complexity by Allen B. Downey Buy this book from Amazon.com. Download this book in PDF. Read this book online. Description This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science: Data structures and algorithms: A data structure is a collection that contains data elements organized in a way that supports particular operations. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. Complexity science is an interdisciplinary field---at the intersection of mathematics, computer science and physics---that focuses on these kinds of models. Free books! This book is under the Creative Commons Attribution-NonCommercial 3.0 Unported License, which means that you are free to copy, distribute, and modify it, as long as you attribute the work and don't use it for commercial purposes. Download the LaTeX source code (with figures and a Makefile) in a zip file.
Ada Programming Welcome to the Ada Programming tutorial at Wikibooks. This is the first Ada tutorial covering the Ada 2005 and 2012 standards. If you are a beginner you will learn the latest standard — if you are a seasoned Ada user you can see what's new. Current Development Stage for Ada Programming is " (Feb 26, 2012)". But still there is always room for improvement — do help us to expand Ada Programming. About Ada[edit] Ada is a programming language suitable for all development needs. Ada is a good choice for Rapid Application Development, Extreme Programming (XP), and Free Software development. Ada is named after Augusta Ada King, Countess of Lovelace. Programming in the large[edit] Ada puts unique emphasis on, and provides strong support for, good software engineering practices that scale well to very large software systems (millions of lines of code, and very large development teams). Consequences of these qualities are superior reliability, reusability and maintainability. Programming in Ada[edit]
Text Processing in Python (a book) A couple of you make donations each month (out of about a thousand of you reading the text each week). Tragedy of the commons and all that... but if some more of you would donate a few bucks, that would be great support of the author. In a community spirit (and with permission of my publisher), I am making my book available to the Python community. Minor corrections can be made to later printings, and at the least errata noted on this website. Email me at <mertz@gnosis.cx> . A few caveats: (1) This stuff is copyrighted by AW (except the code samples which are released to the public domain).
XML - Managing Data Exchange Xania has nominated himself for use of the Checkuser tools. Please provide your input on this important decision. XML - Managing Data Exchange From Wikibooks, open books for an open world Jump to: navigation, search eXtensible Markup Language (XML) is a widely used computer language for creating and designing pages on the World Wide Web, and for defining other languages with more specialized purposes. If you wish to participate in the writing or editing of XML - Managing Data Exchange, or if you have an idea as to how this book can be improved, please see the "to-do" list. Chapters[edit] Preface Appendices[edit] External Links[edit] Retrieved from " Subjects: Hidden categories: Navigation menu Personal tools Namespaces Variants Views Actions Navigation Community Tools In other languages Sister projects Print/export This page was last modified on 2 April 2014, at 10:45.
Building Skills in Python — Building Skills in Python A Programmer’s Introduction to Python Legal Notice This work is licensed under a Creative Commons License. You are free to copy, distribute, display, and perform the work under the following conditions: Attribution. For any reuse or distribution, you must make clear to others the license terms of this work. Language Basics The Processing View A programming language involves two closely interleaved topics. This part describes the most commonly-used Python statements, sticking with basic numeric data types. Some of the examples in this part refer to the rules of various common casino games. We’ll provide a little background on Python in Background and History. In Simple Numeric Expressions and Output we’ll introduce the print statement (and print() function); we’ll use this to see the results of arithmetic expressions including the numeric data types, operators, conversions, and some built-in functions. Data Structures The Data View Expression Statement. The Other Side of the Coin. Sequences.
Web design Web Design is an incredibly fun skill to learn—combining the latest toys of technology with the creativity of design! On top of that, learning web design is unique in that we can learn directly from current professionals who publish their techniques for all to read on their own Web-logs! You'll find below a growing number of topics that we think provide a good foundation for any web designer. We're also working on the requirements for formal qualifications, so you can start collecting evidence of your skills towards a formal qualification in your country. Of course, if you have anything to add or improve then please join us and contribute! (Read More about the web design learning project) What you can learn here[edit] The following topics have been ordered to help provide a pathway for you to learn the main skills of web design. Build a basic web page —Get started creating your own web pages and learning how to style them! Topics under development[edit] Qualifications[edit] See also[edit]
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