#!/usr/bin/env python
# coding: utf-8

# # How to install python for data analysis - for Mac
# Adam Claridge-Chang June 2015

# ### How to install Anaconda for Mac

# Google "anaconda python" and click through to the relevant download page. 
# 
# Use installer to install. When complete, there will be a shortcut on your desktop that looks like below

# In[1]:


from IPython.display import Image
Image(filename='/Users/adamcc77/Desktop/anaconda_symbol.jpg') 


# Click on that icon, the Launcher will appear. Click on the IPython Notebook.

# ### Install a package that is not in the Anaconda distribution
# 
# On the package's homepage, see if they offer pip installation - most will. 
# 
# Most packages are hosted on the PYthon Package Index (PYPI), so are installable with pip.

# For example to install RPy2, a package for running R code in IPython, you can type this in Terminal
# 
# <code>$ pip install rpy2</code>

# 
# ### How to add a folder to your path

# You may want to organize your custom scripts into a folder that is not mixed in with the Anaconda modules

# ####1) Find your bash profile
# In Terminal on the command line type (without the $ sign, which is the prompt)
# 
# <code>$ cd
# $ ls -a</code>
# 
# This means "change directory to my home folder, list all files including hidden files".
# 
# You should see a file called <code>.bash_profile</code> listed there
# 
# 

# ####2) Edit your bash profile. 
# Into the command line type
# 
# <code>$ open .bash_profile</code>
# 
# This should open in TextEdit. Add two lines to the text file:
# 
# <code>\# Added by My Name on My Date
# export PYTHONPATH="/Users/myusername/path/to/folder:$PYTHONPATH"</code>

# ####3) Check that this worked. 
# Open a python session:
# 
# <code>\>>> import sys
# \>>> sys.path</code>
# 
# The new folder should now be listed in your path

# ### How to see which packages have been installed
# 
# As per this page https://stackoverflow.com/questions/739993/how-can-i-get-a-list-of-locally-installed-python-modules

# In[2]:


import pip
installed_packages = pip.get_installed_distributions()
installed_packages_list = sorted(["%s==%s" % (i.key, i.version)
     for i in installed_packages])
print(installed_packages_list)


# ###How to share a notebook on nbviewer
# 
# 1) Get a Github account
# 
# 2) Make your notebook
# 
# 3) Watch this video https://www.youtube.com/watch?v=eYVCH61fKyY
# 
# 4) Share the link to the notebook

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