# Week 00

# Week 00ΒΆ

The focus of this course is on mathematical statistics along with some applied statistical topics.
In this course, I will use Python `matplotlib`

, `SciPy.stats`

, and `statsmodels`

libraries to illustrate some theoretical concepts. If you would like to practice yourself with examples which will be given in the class, I strongly suggest you to
study on the following resources on your own:

10 minutes to pandas, and

For each lab material, you can start a live session by pressing the button at the top-right and selecting a hosted runtime environment such as `Binder`

, `Colab`

or `TheBe`

.

You can also build stand-alone web applications based on lab materials (Jupyter Notebooks) involving interactive widgets created with `ipwidgets`

(interactive HTML widgets). To do this requires installing `Voila`

library first. When you launch the relevant Jupyter Notebook on the browser, a **Voila** button will appear in the toolbar. Then, click-on Voila button to turn the notebook into a seperate web application which works locally. Live examples are available in here.

You can go further and host your Voila applications on `HEROKU`

by following the instructions given in here.

Starting from Week 07, I started to include `session_info`

so that you can better understand the packages and package versions I used for each session.