- Anaconda3 with Jupyter and Spyder (or another editor)
- The python packages NumPy, Pandas, SciPy, Matplotlib, Seaborn & Scikit-learn
- Git
| Sept. 13 | Sept. 14 | Sept. 18 | Sept. 20 | |
|---|---|---|---|---|
| 10:30-12:30 | Numpy & Pandas | |||
| 14:00-15:30 | Set up | Numpy & Pandas | Plotting | Final Projects |
| 15:30-17:00 | Types, functions, flow | Numpy & Pandas | Plot/Best Practices | 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
Copyright © 2017-2018 Fundació Centre de Regulació Genòmica, Institut de Ciències Fotòniques, and European Molecular Biology Laboratory. All rights reserved.