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• Introduction
• 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
• Matrix Manipulation
• Math Operations
• Visualizing Data
• 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