Joseph P. Vantassel, jpvantassel.com
Lasted Updated: February 2023
Below I have included a number of resources for learning Python3. Some of the resources present (or attempt to present) a comprehensive overview while others focus on particular topics.
If you are completely new to coding I recommend you start with one of the comprehensive online courses like the "Crash Course on Python by Google" listed below. Then continue with the following resources.
If you have some familiarity with Python I recommend reviewing the "Python Programming Beginner Tutorials by Corey Schafer", the format of a playlist will let you pick and choose where to spend your time. Once you are familiar with the basics of Python coding review the videos "Using DesignSafe's JupyterHub and Python for Natural Hazards Research" to become familiar with using JupyterLab and the "Matplotlib Tutorial Playlist by Corey Schafer" to learn how about plotting. After completing these you may find my personal notes "Python 3 - A Non-Traditional Approach" helpful.
- Using DesignSafe's JupyterHub and Python for Natural Hazards Research - 2 hours
- Matplotlib Tutorial Playlist by Corey Schafer - 3 hours
- Python 3 - A Non-Traditional Approach - 2 hours
- Numpy for Machine Learning - 1.5 hours
- ObsPy: A Python Toolbox for Seismology - 1 hour
- ObsPy Tutorial: Reading Seismograms - 1 hour
- Pandas Tutorial Playlist by Corey Schafer - 6 hours
- Python Data Science Handbook (NumPy, Pandas, Matplotlib, and Scikit-Learn) - 20 hours
- Crash Course on Python by Google* - 30 hours
- Python Programming Beginner Tutorials by Corey Schafer - 10 hours
*For this course please select the "Audit this course" option. By auditing the course you will be provided the course materials for free, but you will not receive the course certificate (which is fine you do not need it). If, however, you want the certificate for personal reasons you can pay the fee, just be aware you will not be reimbursed.