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  1. Welcome to this introductory handout that aims to shed light on the key differences between MATLAB and Python – two widely used programming languages in various scientific and engineering fields.

  2. Use the Library Compiler App to create a Python package for MATLAB functions. Invoke MATLAB functions from the Python package. >> import PackageName. >> pkg = PackageName.initialize() >> result = pkg.foo() Close package.

  3. MATLAB® for Python® Users. The MATLAB language is designed primarily for math-intensive scientific computing. MATLAB combines a desk-top environment tuned for iterative analysis with a programming language that expresses matrix and array mathematics directly.

  4. MATLAB has an extensive library of built-in functions, control structures, and a sophisticated object model. Python, in contrast, has fewer built-in functions and

  5. Generate a Python package from a set of MATLAB functions. Set-up MATLAB and Python. 3.1. Install Python. 3.2. Install Anaconda or other Python distribution. 3.3. Manage your PATH. 3.4. Install additional Python packages. 3.5.

  6. In his book about Python for MATLAB Development, Albert Danial shares some clever functions to convert MATLAB variables into an equivalent Python-native variable with mat2py, and vice-versa with py2mat.

  7. You can execute Python statements in the Python interpreter directly from MATLAB using the pyrun or pyrunfile functions. For example: pyrun ("l = ['A','new','list']") % Call list in Python interpreter. For more information, see Directly Call Python Functionality from MATLAB.

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