- Anaconda3 with Jupyter and Spyder (or another editor)
- The python packages NumPy, Pandas, SciPy, Matplotlib, Seaborn & Scikit-learn
- Git
| Sept. 12 | Sept. 14 | Sept. 18 | Sept. 19 | |
|---|---|---|---|---|
| 10:00-13:00 | Numpy & Pandas | Optimization | ||
| Plotting | Best Practices | |||
| Performance | ||||
| 15:00-18:00 | Set up | Final Projects | ||
| Introduction to Python | ||||
| Basic Operations |
- 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
Copyright © 2017-2018 Fundació Centre de Regulació Genòmica, Institut de Ciències Fotòniques, and European Molecular Biology Laboratory. All rights reserved.