- Free and General Purpose vs Not Free or General Purpose
Setting up a Python Development Environment for Data Science
The Power of Matlab for Numerical Problem Solving
Python Libraries and Packages for Numerical Problem Solving and Data Analysis
Hands-on Practice with Python Syntax
Importing Data into Python
Converting an Existing Matlab Application to Python
Common Pitfalls when Transitioning to Python
Calling Matlab from within Python and Vice Versa
Python Wrappers for Providing a Matlab-like Interface
Summary and Conclusion
- Experience with Matlab programming.
- Data scientists
Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.
Teaching style and ability of the trainer to overcome unforeseen obstacles and adapt to circumstances. Broad knowledge and experience of the trainer