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Update learning.rst

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Changed choosen to chosen
Replaced python with Python
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smithandrewl
2014-01-18 22:12:07 -06:00
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@@ -7,9 +7,9 @@ Beginner
Learn Python Interactive Tutorial
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Learnpython.org is an easy non-intimidating way to get introduced to python.
Learnpython.org is an easy non-intimidating way to get introduced to Python.
The website takes the same approach used on the popular `Try Ruby <http://tryruby.org/>`_
website, it has an interactive python interpreter built into the site that
website, it has an interactive Python interpreter built into the site that
allows you to go through the lessons without having to install Python locally.
`Learn Python <http://www.learnpython.org/>`_
@@ -52,11 +52,11 @@ Think Python: How to Think Like a Computer Scientist
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Think Python attempts to give an introduction to basic concepts in computer
science through the use of the python language. The focus was to create a book
science through the use of the Python language. The focus was to create a book
with plenty of exercises, minimal jargon and a section in each chapter devoted
to the subject of debugging.
While exploring the various features available in the python language the
While exploring the various features available in the Python language the
author weaves in various design patterns and best practices.
The book also includes several case studies which have the reader explore the
@@ -72,11 +72,11 @@ Python Koans
Python Koans is a port of Edgecase's Ruby Koans. It uses a test-driven
approach, q.v. TEST DRIVEN DESIGN SECTION to provide an interactive tutorial
teaching basic python concepts. By fixing assertion statements that fail in a
test script, this provides sequential steps to learning python.
teaching basic Python concepts. By fixing assertion statements that fail in a
test script, this provides sequential steps to learning Python.
For those used to languages and figuring out puzzles on their own, this can be
a fun, attractive option. For those new to python and programming, having an
a fun, attractive option. For those new to Python and programming, having an
additional resource or reference will be helpful.
`Python Koans <http://bitbucket.org/gregmalcolm/python_koans>`_
@@ -88,7 +88,7 @@ More information about test driven development can be found at these resources:
A Byte of Python
~~~~~~~~~~~~~~~~
A free introductory book that teaches python at the beginner level, it assumes no
A free introductory book that teaches Python at the beginner level, it assumes no
previous programming experience.
`A Byte of Python for Python 2.x <http://www.ibiblio.org/swaroopch/byteofpython/read/>`_
@@ -137,8 +137,8 @@ A Primer on Scientific Programming with Python
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A Primer on Scientific Programming with Python, written by Hans Petter Langtangen,
mainly covers python's usage in scientific field. In the book, examples are
choosen from mathematics and the natural sciences.
mainly covers Python's usage in scientific field. In the book, examples are
chosen from mathematics and the natural sciences.
`A Primer on Scientific Programming with Python <http://www.springer.com/mathematics/computational+science+%26+engineering/book/978-3-642-18365-2>`_
@@ -146,7 +146,7 @@ Numerical Methods in Engineering with Python
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Numerical Methods in Engineering with Python,written by Jaan Kiusalaas, attempts to
emphasis on numerical methods and how to implement them in python.
emphasis on numerical methods and how to implement them in Python.
`Numerical Methods in Engineering with Python <http://www.cambridge.org/us/academic/subjects/engineering/engineering-mathematics-and-programming/numerical-methods-engineering-python-2nd-edition>`_
@@ -157,7 +157,7 @@ Python in a Nutshell
~~~~~~~~~~~~~~~~~~~~
Python in a Nutshell, written by Alex Martelli, covers most cross-platform
python's usage, from its syntax to built-in libraries to advanced topics such
Python's usage, from its syntax to built-in libraries to advanced topics such
as writing C extensions.
`Python in a Nutshell <http://shop.oreilly.com/product/9780596001889.do>`_