CodeKill presents a collection of 51 free E-books to increase your programing skills in Python, if it id GUI Programing, Graphic Acceleration, Introduction, Or working with Standard Library, or Text Processing.
Author:
Cody Jackson, 2013
An
introduction to computer programming, using the easy, yet powerful,
Python programming language. Python, a cross-platform language, lets
you work quickly and efficiently, allowing you to concentrate on your
work rather than the language.
Author:
Brian Heinold
Publisher:
Mount St. Mary's University, 2013
Partly
a tutorial and partly a reference book. I summarize information in
tables and give a lot of short example programs. I also jump right
into things and fill in background information as I go, rather than
covering the background material first.
Author:
Steven Thurlow
Publisher:
Wikibooks, 2013
Contents
of Beginner's Python Tutorial: Installing Python; Very Simple
Programs; Variables, Scripts; Loops, Conditionals; Functions; Tuples,
Lists, Dictionaries; for Loop; Classes; Importing Modules; File I/O;
Exception Handling.
Author:
David Beazley, Brian K. Jones
Publisher:
O'Reilly Media, 2013
This
cookbook is for experienced Python programmers who want to focus on
modern tools and idioms. You'll find complete recipes for more than a
dozen topics, covering the core Python language as well as tasks
common to a wide variety of applications.
Author:
Al Sweigart, 2013
The
book teaches complete beginners how to program in the Python
programming language. The book features the source code to several
ciphers and hacking programs for these ciphers. The programs include
the Caesar cipher, transposition cipher, etc.
Author:
Nathan Yergler
Publisher:
PyCon, 2013
Effective
Django development means building applications that are testable,
maintainable, and scalable. After reading this book you should have
an understanding of how Django's pieces fit together and how to use
them to engineer web applications.
Author:
Harry Percival
Publisher:
O'Reilly Media, 2013
Test-Driven
Development with Python focuses on web development, with some
coverage of JavaScript. This book uses a concrete example -- the
development of a website, from scratch -- to teach the TDD
methodology and how it applies to web programming.
Author:
Jan Bodnar
Publisher:
ZetCode, 2013
PyQt4
is a toolkit for creating GUI applications. It is a blending of
Python language and the successful Qt library. This tutorial is
suited for beginners and intermediate programmers. You will learn to
program non trivial PyQt4 applications.
Author:
Hannes Röst, et al.
Publisher:
Wikibooks, 2013
This
book describes Python, an open-source general-purpose interpreted
programming language, available for all Platforms. Python is a
high-level, structured programming language that can be used for a
wide variety of programming tasks.
Author:
EuroScipy tutorial team, 2012
Teaching
material on the scientific Python ecosystem, a quick introduction to
central tools and techniques. The different chapters each correspond
to a 1 to 2 hours course with increasing level of expertise, from
beginner to expert.
Author:
John C. Lusth
Publisher:
The University of Alabama, 2012
Contents:
Starting Out; Literals; Combining Literals; Precedence and
Associativity; Variables; Assignment; Conditionals; Functions; Python
Programs and Using Files; Input and Output; More about Functions;
Scope; Loops; Lists; Recursion; etc.
Author:
Lennart Regebro
Publisher:
Colliberty 2011
Porting
to Python 3 doesn't have to be daunting. This book guides you through
the process of porting your Python 2 code to Python 3. Using plenty
of code examples is takes you cross the hurdles and shows you the new
Python features.
Author:
Kevin Sheppard, 2012
Python
is a widely used general purpose programming language, which happens
to be well suited to Econometrics and other more general purpose data
analysis tasks. These notes provide an introduction to Python for a
beginning programmer.
Author:
Hans Petter Langtangen
Publisher:
Springer, 2009
With
a primary focus on examples and applications of relevance to
computational scientists, this useful book shows computational
scientists how to develop tailored, flexible, and human-efficient
working environments built from small scripts.
Author:
W.J. Turkel, A. Crymble, A. MacEachern
Publisher:
NiCHE, 2010
This
book is a tutorial-style introduction to programming in Python for
practicing historians (and other humanists). We assume that you're
starting out with no prior programming experience and only a basic
understanding of computers.
Author:
Jan Erik Solem
Publisher:
O'Reilly Media, 2012
The
idea behind this book is to give an easily accessible entry point to
hands-on computer vision with enough understanding of the underlying
theory and algorithms to be a foundation for students, researchers
and enthusiasts.
Author:
Rahul Verma, Chetan Giridhar
Publisher:
Testing Perspective, 2011
This
book is about learning design patterns with Python language. If you
are new to design patterns, this text provides the first building
blocks. If you are interested in design of test automation
frameworks, this book will be very useful.
Author:
Al Sweigart, 2012
This
is a programming book that covers the Pygame game library for the
Python programming language. Each chapter gives you the complete
source code for a new game and teaches the important programming
concepts from these examples.
Author:
Richard L. Halterman
Publisher:
Southern Adventist University, 2011
The
focus is on introducing programming techniques and developing good
habits. Our approach avoids some more esoteric features of Python and
concentrates on the programming basics that transfer directly to
other imperative programming languages.
Author:
Jeffrey Elkner, Allen B. Downey, Chris Meyers
Publisher:
Green Tea Press, 2012
This
book is an introduction to computer science using the Python
programming language. It covers the basics of programming, including
variables, functions, control flow, program debugging. Later chapters
cover basic algorithms and data structures.
Author:
Steven Bird, Ewan Klein, Edward Loper
Publisher:
O'Reilly Media, 2009
This
book offers a highly accessible introduction to natural language
processing, the field that supports a variety of language
technologies. With it, you'll learn how to write Python programs that
work with large collections of unstructured text.
Author:
Zed A. Shaw, 2011
This
is a very beginner book for people who want to learn to code. If you
can already code then the book will probably drive you insane. It's
intended for people who have no coding chops to build up their skills
before starting a more detailed book.
Author:
Allen B. Downey
Publisher:
Green Tea Press, 2011
Think
Stats is an introduction to Probability and Statistics for Python
programmers. This new book emphasizes simple techniques you can use
to explore real data sets and answer interesting statistical
questions. Basic skills in Python are assumed.
Author:
Charles Severance
Publisher:
PythonLearn, 2010
The
goal of this book is to provide an Informatics-oriented introduction
to programming. The primary difference between a computer science
approach and the Informatics approach taken in this book is a greater
focus on using Python.
Author:
Jody Scott Ginther
Publisher:
toonzcat.com, 2010
This
book is meant to help you begin learning the basics of Python
programming version 3 or later. It is a brief introduction to Python.
The author attempts to be as brief as possible to get the new
programmer into programming as fast as possible.
Author:
Jeffrey Elkner, at al., 2010
The
goal of this book is twofold: to teach you how to program in Python;
and to teach you to think like a computer scientist. This way of
thinking combines some of the best features of mathematics,
engineering, and natural science.
Author:
Mark Guzdial
Publisher:
Georgia Institute of Technology, 2002
Guzdial
introduces programming as a way of creating and manipulating media --
a context familiar to today's readers. Starts readers with actual
programming early on. Puts programming in a relevant context
(Computing for Communications).
Author:
Jason R Briggs
Publisher:
Lulu.com, 2007
Snake
Wrangling for Kids is a printable electronic book, for children 8
years and older, who would like to learn computer programming. It
covers the very basics of programming, and uses the Python 3
programming language to teach the concepts.
Author:
A. Holovaty, J. Kaplan-Moss
Publisher:
Apress, 2007
Django
is the Python–based equivalent to the Ruby on Rails web development
framework. The authors show you how they use this framework to create
award–winning web sites. This is the first edition of the Django
Book which covers 0.96 version.
Author:
Katja Schuerer, Catherine Letondal
Publisher:
Pasteur Institute, 2008
This
course is designed for biologists who already have some programming
knowledge in other languages. The focus is on biological examples
that are used throughout the course, as well as the suggested
exercises drawn from the field of biology.
Author:
Dave Kuhlman, 2003
This
document contains discussions of several advanced topics that are of
interest to Python programmers: regular expressions, unit tests,
extending and embedding Python, parsing, GUI applications, guidance
on packages and modules.
Author:
Dave Kuhlman, 2008
This
document is a syllabus for a first course in Python programming. It
contains an introduction to the Python language, instruction in the
important features of the language, and practical exercises in the
use of those features.
Author:
Chris Meyers, 2004
This
collection is a presentation of several small Python programs. They
are aimed at intermediate programmers - people who have studied
Python and are fairly comfortable with basic recursion and object
oriented techniques.
Author:
Fredrik Lundh, Matthew Ellis
Publisher:
PythonWare, 2002
The
Python Imaging Library adds image processing capabilities to your
Python interpreter. This library provides extensive file format
support, an efficient internal representation, and fairly powerful
image processing capabilities.
Publisher:
Python Software Foundation, 2008
This
tutorial introduces the reader informally to the basic concepts of
the Python language and system. It introduces many of Python's most
noteworthy features, and will give you a good idea of the language's
flavor and style.
Author:
Richard Gruet, 2007
This
reference collections cover references for python version 1.52 to
version 2.7. It covers invocation options, environment variables,
lexical entities, basic types and their operations, advanced types,
statements, iterators, generators, descriptors, decorators, built-in
functions, built-in exceptions, and more.
Author:
Steven F. Lott, 2008
The
book will help you build basic programming skills. It is organized in
a way that builds up the language in layers from simple concepts to
more advanced features. Programming exercises are provided to
encourage further exploration of each layer.
Author:
Guido Van Rossum
Publisher:
Network Theory Ltd., 2003
The
definitive language reference for Python. It describes the syntax of
Python and its built-in datatypes. It covers advanced topics, and is
suitable for readers who are familiar with the details and rules of
the Python and its object system.
Author:
Bruno R. Preiss, 2004
The
primary goal of this book is to promote object-oriented design using
Python and to illustrate the use of the emerging object-oriented
design patterns. The book shows how these patterns are used to create
good software designs.
Author:
Allen Downey
Publisher:
Green Tea Press, 2008
A
concise introduction to software design using Python. Intended for
people with no programming experience, this book starts with the most
basic concepts and gradually adds new material. The goal is to teach
you to think like a computer scientist.
Author:
Alan Gauld
Publisher:
Addison-Wesley Professional, 2000
Book
for hobbyists, self-starters, and all who want to learn the art of
computer programming in Python. Data types and variables, debugging,
and namespaces are covered. Also includes sample applications that
illustrate ideas and techniques in action.
Author:
K. Schuerer, et al.
Publisher:
Pasteur Institute, 2008
This
text teaches programming concepts to biologists. It is aimed at
people who are not professional computer scientists, but who need a
better control of computers for their own research. This course is
part of a course in informatics for biology.
Author:
David Mertz
Publisher:
Addison-Wesley Professional, 2003
A
hands-on tutorial that teaches how to accomplish numerous text
processing tasks using Python. Filled with examples, the book
provides efficient solutions to specific text processing problems and
strategies for all text processing challenges.
Author:
Swaroop C H, 2008
This
is a tutorial and a guide on Python programming for absolute
beginners. If all you know about computers is how to save text files,
then this is the book for you. The book is updated for the upcoming
Python 3.0 language.
Author:
Josh Cogliati
Publisher:
Wikibooks, 2005
This
free tutorial is designed to be an introduction to the Python
programming language. The guide is for someone with no programming
experience. The author attempts to teach programming by reading code
and writing code.
Author:
Steven F. Lott, 2008
This
book is a complete presentation of the Python for professional
programmers who need to learn the language. The author leads you from
a tiny, easy to understand subset of statements to the entire Python
language and all built-in data structures.
Author:
Fredrik Lundh
Publisher:
O'Reilly, 2001
A
large collection of useful Python scripts, the best parts of
comp.lang.python newsgroup messages, plus hundreds of new scripts.
The text covers the standard library, the examples should work on
most platforms and Python versions.
Author:
Boudewijn Rempt
Publisher:
OpenDocs, LLC, 2002
This
book covers application development using the library extension PyQt,
which forms the basis for GUI programming. First part explains
concepts using small examples, in the second part the author develops
a complete, complex application.
Author:
Mark Pilgrim
Publisher:
Apress, 2004
This
is a book for experienced programmers, a hands-on guide to the Python
language. Each chapter starts with a complete code sample, picks it
apart and explains the pieces, and then puts it all back together in
a summary at the end.
Author:
Guido van Rossum
Publisher:
Network Theory Ltd., 2006
This
book is an introduction to Python, an easy to learn, powerful
programming language. The tutorial explains the basics of the Python,
it does not cover every single feature of the language, but
introduces the most noteworthy features.
Author:
Albert Sweigart
Publisher:
Albert\Sweigart, 2008
A
programming book for kids interested in learning to program their own
computer games with python, a serious computer language which is used
by professional programmers also. The book explains programming
principles from the source code examples.
