The following tutorial is a Dexy documentation project containing a sequence of workshops designed to teach the fundamentals of data analytics using the Python stack.The series is divided into the following sections:

• Python and Data Carpentry
• Data Cleaning and Munging
• Exploring Timeseries Data with Pandas
• Visualizing Data in Python
• Exploratory Data Analytics with Pandas — Part I
• Exploratory Data Analytics with Pandas — Part II
• Supervised Learning Techniques with Scikit-Learn
• Unsupervised Learning Techniques with Scikit-learn
• An Gentle Guide to the Data Science Community

If you are interested in contributing your own bit to the curriculum, please take the follow steps.

1. Fork this repository into your Github user account.
2. Clone your forked repository into your computer using git clone https://github.com/your-username/data-analytics-course.git.
3. Create a new branch in the cloned repository for the change you would like to make using git checkout -b change-i-am-making.
4. Install dexy onto your machine using pip install dexy.
5. Add any shell commands that you use in your process to the appropriate shell file, for example clean.sh.
6. And any Python code used n your process to the appropriate Python file, for example clean.py.
7. Use the ### "section-name-here" syntaxt to seperate out sections of your code in the files mentioned in steps 5 and 6.
8. Write out your process in the respective Markdown file, for example cleaning.md.
9. Use the {{d['filename|idio']['section-name-here']}} syntax to reference pieces of the code that you wrote in your files within the Markdown documentation.
10. Run dexy setup && dexy in order to generate the dexy docuemntation.
11. Change into the output directory and run the python -m SimpleHTTPServer to start a webserver in that directory.
12. Navigate to http://localhost:8000 in your browser and open the respective HTML file, for example cleaning.html.
13. Repeat the above process as necessary.
14. Once you are finished, add and commit the files you changed using git add.
15. Commit them with a message describing the content that you added.
16. Push the changes into your branch using git push origin change-i-am-making.
17. Navigate to your forked Github repository and click "Compare and Pull Request" to request that your changes be merged into the main repository.
18. Rejoice!