1 Introduction.- 2 Installation.- 3 Language Basics.- 4 Data Containers.- 5 Dates and Times.- 6 Call Python Functions from MATLAB.- 7 Input and Output.- 8 Interacting with the File System.- 9 Interacting with the Operating System and External Executables.- 10 Object Oriented Programming.- 11 NumPy and SciPy.- 12 Plotting.- 13 Tables and Dataframes.- 14 High Performance Computing.- 15 Language Pitfalls.- Appendix A MATLAB/Python Recipe Index.- Appendix B Generating Sample Data with Faker.- Appendix C Finite Element Source Listing.- Appendix D Python-to-MATLAB and MATLAB-to-Python Variable Converters.- Appendix E A Utility to Patch Cartopy to Use Requests.
Albert Danial is an aerospace engineer with 30 years of
experience, currently working for Northrop Grumman near Los
Angeles. Before Northrop Grumman, he was a member of the NASTRAN
Numerical Methods team at MSC Software and a systems analyst at
SPARTA. He has a Bachelor of Aerospace Engineering degree from the
Georgia Institute of Technology, and Masters and Ph.D. degrees in
Aeronautics and Astronautics from Purdue University. He is the
author of cloc, the open source code counter.
Al has used MATLAB since 1990 and Python since 2006 for algorithm
prototyping, earth science data processing, spacecraft mission
planning, optimization, visualization, and countless utilities
that simplify daily engineering work.
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