Contents for the scientific python bootcamp of the BIST master of Multidisciplinary Research in Experimental Sciences (2021 course).
The contents of this year's bootcamp are designed based on 2020 and 2019 editions.
- Anaconda3 with Jupyter and Spyder (or another editor)
- The python packages NumPy, Pandas, SciPy, Matplotlib, Seaborn & Scikit-learn
- Git
| Sept. 20rd | Sept. 22th | Sept. 27th | Sept. 29th | Oct. 4th | Oct. 6th | |
|---|---|---|---|---|---|---|
| 10:00-11:00 | Set up & intro | Numpy | Matplotlib | Scipy stats | ODE Integration | Final Projects |
| 11:00-12:00 | Basics & flow | Pandas | Seaborn | Plotting stats | Optimization | Final Projects |
- Learn X in Y minutes where X = Python
- The Python Tutorial
- 10 Minutes to Pandas
- Scipy Lecture Notes
- Python Data Science Handbook
- Pythonic Preambulations
- Subtleties of Color
- A Beginner’s Guide to Optimizing Pandas Code for Speed
- Raymond Hettinger: Beyond PEP 8 -- Best practices for beautiful intelligible code
- Trey Causey: Testing for Data Scientists
- The Python Graph Gallery