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Ryan Campbell
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ReStructuredText
143 lines
4.9 KiB
ReStructuredText
Learning Python
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===============
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Beginner
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--------
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Learn Python Interactive Tutorial
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Learnpython.org is an easy non-intimidating way to get introduced to python.
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The website takes the same approach used on the popular `Try Ruby <http://tryruby.org/>`_
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website, it has an interactive python interpreter built into the site that
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allows you to go through the lessons without having to install Python locally.
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`Learn Python <http://www.learnpython.org/>`_
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Learn Python the Hard Way
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~~~~~~~~~~~~~~~~~~~~~~~~~
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This is an excellent beginner programmer's guide to Python. It covers "hello
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world" from the console to the web.
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`Learn Python the Hard Way <http://learnpythonthehardway.org/book/>`_
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Crash into Python
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~~~~~~~~~~~~~~~~~
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Also known as *Python for Programmers with 3 Hours*, this guide gives
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experienced developers from other languages a crash course on Python.
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`Crash into Python <http://stephensugden.com/crash_into_python/>`_
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Dive Into Python 3
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~~~~~~~~~~~~~~~~~~
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Dive Into Python 3 is a good book for those ready to jump in to Python 3. It's
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a good read if you are moving from Python 2 to 3 or if you already have some
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experience programming in another language.
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`Dive Into Python 3 <http://diveintopython3.ep.io/>`_
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Think Python: How to Think Like a Computer Scientist
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Think Python attempts to give an introduction to basic concepts in computer
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science through the use of the python language. The focus was to create a book
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with plenty of exercises, minimal jargon and a section in each chapter devoted
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to the subject of debugging.
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While exploring the various features available in the python language the
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author weaves in various design patterns and best practices.
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The book also includes several case studies which have the reader explore the
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topics discussed in the book in greater detail by applying those topics to
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real-world examples. Case studies include assignments in GUI and Markov
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Analysis.
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`Think Python <http://greenteapress.com/thinkpython/html/index.html>`_
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Python Koans
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~~~~~~~~~~~~
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Python Koans is a port of Edgecase's Ruby Koans. It uses a test-driven
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approach, q.v. TEST DRIVEN DESIGN SECTION to provide an interactive tutorial
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teaching basic python concepts. By fixing assertion statements that fail in a
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test script, this provides sequential steps to learning python.
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For those used to languages and figuring out puzzles on their own, this can be
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a fun, attractive option. For those new to python and programming, having an
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additional resource or reference will be helpful.
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`Python Koans <http://bitbucket.org/gregmalcolm/python_koans>`_
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More information about test driven development can be found at these resources:
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`Test Driven Development <http://en.wikipedia.org/wiki/Test-driven_development>`_
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A Byte of Python
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~~~~~~~~~~~~~~~~
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A free introductory book that teaches python at the beginner level, it assumes no
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previous programming experience.
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`A Byte of Python for Python 2.x <http://www.ibiblio.org/swaroopch/byteofpython/read/>`_
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`A Byte of Python for Python 3.x <http://www.swaroopch.org/notes/Python_en:Table_of_Contents>`_
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Advanced
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--------
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Pro Python
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~~~~~~~~~~
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This book is for intermediate to advanced Python programmers who are looking to understand how
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and why Python works the way it does and how they can take their code to the next level.
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Expert Python Programming
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~~~~~~~~~~~~~~~~~~~~~~~~~
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Expert Python Programming deals with best practices in programming Python and
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is focused on the more advanced crowd.
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It starts with topics like decorators (with caching, proxy, and context manager
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case-studies), method resolution order, using super() and meta-programming, and
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general PEP8 best practices.
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It has a detailed, multi-chapter case study on writing and releasing a package
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and eventually an application, including a chapter on using zc.buildout. Later
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chapters detail best practices with writing documentation, test-driven
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development, version control, and optimization/profiling.
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`Expert Python Programming <http://www.packtpub.com/expert-python-programming/book>`_
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The Python Tutorial
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~~~~~~~~~~~~~~~~~~~~
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This is the official tutorial, it covers all the basics, and offers a tour of the
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language and the standard library, recommended for those who need a quickstart
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guide to the language.
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`The Python Tutorial <http://docs.python.org/tutorial/index.html>`_
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References
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----------
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Python in a Nutshell
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~~~~~~~~~~~~~~~~~~~~
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Python in a Nutshell, written by Alex Martelli, covers most cross-platform
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python's usage, from its syntax to built-in libraries to advanced topics such
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as writing C extensions.
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The Python Language Reference
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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This is Python's reference manual, it covers the syntax and the core semantics of the
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language.
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`The Python Language Reference <http://docs.python.org/reference/index.html>`_
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