Added info on how to install Ananconda, etc

docs/source/python_intro.rst

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+====================
+Python 101
+====================
+
+This is a small introduction of what *I* think you should have installed 
+in order to property use python in your projects.
+
+--------------------
+Anaconda
+--------------------
+
+The very first thing for you to have is 
+`**Anaconda** <https://www.anaconda.com>`_ installed.
+From their website:
+
+    With over 4.5 million users, Anaconda is the world’s most popular Python 
+    data science platform. Anaconda, Inc. continues to lead open source 
+    projects like Anaconda, NumPy and SciPy that form the foundation of 
+    modern data science. Anaconda’s flagship product, Anaconda Enterprise, 
+    allows organizations to secure, govern, scale and extend Anaconda to 
+    deliver actionable insights that drive businesses and industries forward.
+
+
+Having *Ananconda* installed on your computer is important, since it 
+allows you to not worry about installing missing dependencies, 
+creates environments for you projects, etc.
+
+^^^^^^^^^^^^^^^^^^^^^
+Installing Anaconda
+^^^^^^^^^^^^^^^^^^^^^
+
+The first thing is to download Anaconda. If you're starting with 
+Python from scratch, it is better to start with **Python 3**.
+
+You can download Anaconda from here: `<https://www.anaconda.com/download>`_, 
+and make sure to download the Python 3 version.
+
+.. note:: If you're downloading it from the terminal, you can download the 
+    executable from by typing:
+
+    >>> wget https://repo.continuum.io/archive/Anaconda3-5.0.1-MacOSX-x86_64.pkg /path/to/download/to/
+
+    >>> bash /path/to/download/to/Anaconda3*.sh
+
+    For more information on how to download it, go to
+    `<https://docs.anaconda.com/anaconda/install/#detailed-installation-information>`_
+
+Once you have downloaded Anaconda, you should be able to start using 
+*python* and *iPython*. You can try this by typing the following on the 
+terminal:
+
+.. code::
+
+    >>> which python
+        /home/username/anaconda/bin/python
+
+    >>> which ipython
+        /home/username/anaconda/bin/ipython
+
+    >>> ipython
+        Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct  6 2017, 12:04:38)
+        Type 'copyright', 'credits' or 'license' for more information
+        IPython 6.1.0 -- An enhanced Interactive Python. Type '?' for help.
+
+.. note:: If you're using a separate machine, to which you `ssh`, you can 
+    install *Anaconda* to a specified location other than your home directory.
+    This is important if you are limited by *the number of files in your 
+    home directory*, e.g. a computer hosted by 
+    `ACCRE <http://www.accre.vanderbilt.edu/>`_.
+
+^^^^^^^^^^^^^^^^^^^^^^^
+Managing environments
+^^^^^^^^^^^^^^^^^^^^^^^
+
+When working on a project, it is really important to keep 
+** reproducibility** in mind. For example, if you were to hand me you 
+code, I should be able to read the documentation and understand it, as 
+well as **running the code**.
+
+This is why **creating an environment** for your project is extremely 
+important. This is where Ananconda helps a lot. Anaconda let's you have 
+your own defined environment for your project, and you can 
+**specify which packages** to include in your project.
+
+All of the packages can be specified in an **environment.yml** file.
+An example for such file would look like 
+(taken from `<conda.io/docs/user-guide/tasks/manage-environments.html>`_):
+
+.. code::
+
+    name: example-environment
+
+    dependencies:
+      - python=3.4
+      - numpy
+      - toolz
+      - matplotlib
+      - dill
+      - pandas
+      - partd
+      - bokeh
+      - pip:
+        - git+https://github.com/blaze/dask.git#egg=dask[complete]
+
+You can install the desired environment `example-environment` by 
+running the command on the terminal:
+
+>>> conda env create -f environment.yml
+
+For more information, see `<https://conda.io/docs/user-guide/tasks/manage-environments.html#creating-an-environment-from-an-environment-yml-file>`_.
+
+.. note:: A helpful package to use is 
+**`conda-env-auto <https://github.com/chdoig/conda-auto-env>`** which allows 
+you to automatically create and *activate* the project environment once you 
+are in the directory. For more information on how to install it and 
+use it, see `<https://github.com/chdoig/conda-auto-env>`_.
+
+
+
+