Presentation: Full Stack Data Analysis With Python, February 2015 for Perth Data Science Meetup

Author: Jack Golding, reachable at [email protected]

View these notebooks at:

http://nbviewer.ipython.org/github/jackgolding/FullStackDataAnalysis/tree/master/

Steps

1. Clone this repo using git clone https://github.com/jackgolding/FullStackDataAnalysis.git or by simply downloading the files however you seem fit.
2. Download Anaconda 2.1 with Python 3.4 as outlined at http://continuum.io/downloads#34 if Anaconda or Python is updated on continuum's site after this talk has been given you will have to specify the version of Anaconda and/or Python later or risk the code not working.
3. Install Anaconda wherever you want. The beauty of using Anaconda is that deleting it if you don't want it is just a case of deleting the Anaconda file after installing.
4. Open a Command Prompt and navigate to the folder you downloaded in Step 1 using cd FILEPATH where FILEPATH is the path of the folder.
5. Run conda create -n FullStack --clone root if you downloaded Anaconda 2.1 and Python 3 in Sterp 2. If you are using a later version of Python and/or Anaconda you will probably need to run something like conda create -n FullStack anaconda=2.1.0 python=3.4
6. Verify the environment you created in 5 exists by running conda info -e and noticing you have two environments, root and FullStack
7. Activate the FullStack environment by running source activate FullStack - this command may differ depending on what operating system you are using but you should get an useful error message if it doesn't work.
8. To open notebooks run ipython notebook to start the IPython Notebook server.

Please raise any errors as a github issue and star the project if you found it useful.