Changed python into Python where needed

docs/scenarios/scientific.rst

@@ -129,7 +129,7 @@ Anaconda
 
 `Continuum Analytics <http://continuum.io/>`_ offers the `Anaconda
 Python Distribution <https://store.continuum.io/cshop/anaconda>`_ which
-includes all the common scientific python packages and additionally many
+includes all the common scientific Python packages and additionally many
 packages related to data analytics and big data. Anaconda itself is free, and
 Continuum sells a number of proprietary add-ons. Free
 licenses for the add-ons are available for academics and researchers.

docs/starting/install/win.rst

@@ -53,7 +53,7 @@ download and install any compliant Python software product with a single
 command. It also enables you to add this network installation capability to
 your own Python software with very little work.
 
-To obtain the latest version of Setuptools for Windows, run the python script
+To obtain the latest version of Setuptools for Windows, run the Python script
 available here: `ez_setup.py <https://bitbucket.org/pypa/setuptools/raw/bootstrap/ez_setup.py>`_
 
 
@@ -62,7 +62,7 @@ considered by many to be deprecated, so we will install its replacement:
 **pip**. Pip allows for uninstallation of packages, and is actively maintained,
 unlike easy_install.
 
-To install pip, run the python script available here:
+To install pip, run the Python script available here:
 `get-pip.py <https://raw.github.com/pypa/pip/master/contrib/get-pip.py>`_
 
 

docs/writing/documentation.rst

@@ -17,7 +17,7 @@ assuming the user knows anything about the project), the url of the
 main source for the software, and some basic credit information. This
 file is the main entry point for readers of the code.
 
-An :file:`INSTALL` file is less necessary with python.  The installation
+An :file:`INSTALL` file is less necessary with Python.  The installation
 instructions are often reduced to one command, such as ``pip install
 module`` or ``python setup.py install`` and added to the :file:`README`
 file.
@@ -56,7 +56,7 @@ of the following components:
 Sphinx
 ~~~~~~
 
-Sphinx_ is far and away the most popular python documentation
+Sphinx_ is far and away the most popular Python documentation
 tool. **Use it.**  It converts :ref:`restructuredtext-ref` markup language
 into a range of output formats including HTML, LaTeX (for printable
 PDF versions), manual pages, and plain text.

docs/writing/license.rst

@@ -31,7 +31,7 @@ To help you choose one for your project, there's a `license chooser <http://thre
 
 **More Permissive**
 
-- PSFL (Python Software Foundation License) -- for contributing to python itself
+- PSFL (Python Software Foundation License) -- for contributing to Python itself
 - MIT / BSD / ISC
 
   + MIT (X11)

docs/writing/structure.rst

@@ -92,12 +92,12 @@ environment, or your project's internal modules.
 To keep in line with the style guide, keep module names short, lowercase, and
 be sure to avoid using special symbols like the dot (.) or question mark (?).
 So a file name like :file:`my.spam.py` is one you should avoid! Naming this way
-will interfere with the way python looks for modules.
+will interfere with the way Python looks for modules.
 
-In the case of `my.spam.py` python expects to find a :file:`spam.py` file in a folder named :file:`my`
+In the case of `my.spam.py` Python expects to find a :file:`spam.py` file in a folder named :file:`my`
 which is not the case. There is an
 `example <http://docs.python.org/tutorial/modules.html#packages>`_ of how the
-dot notation should be used in the python docs.
+dot notation should be used in the Python docs.
 
 If you'd like you could name it as :file:`my_spam.py` but even our friend the
 underscore should not be seen often in module names.

docs/writing/style.rst

@@ -360,7 +360,7 @@ Take the following code for example:
     def lookup_list(l):
         return 's' in l
 
-Even though both functions look identical, because *lookup_dict* is utilizing the fact that dictionaries in python are hashtables, the lookup performance between the two is very different.
+Even though both functions look identical, because *lookup_dict* is utilizing the fact that dictionaries in Python are hashtables, the lookup performance between the two is very different.
 Python will have to go through each item in the list to find a matching case, which is time consuming. By analysing the hash of the dictionary, finding keys in the dict can be done very quickly.
 For more information see this `StackOverflow <http://stackoverflow.com/questions/513882/python-list-vs-dict-for-look-up-table>`_ page.
 

docs/writing/tests.rst

@@ -242,7 +242,7 @@ to newer versions of the module easier in the future
     class MyTest(unittest.TestCase):
         ...
 
-This way if you ever switch to a newer python version and no longer need the
+This way if you ever switch to a newer Python version and no longer need the
 unittest2 module, you can simply change the import in your test module without
 the need to change any other code.