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miniconda

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JupyterLab based Python Tutorials. These are detailed markdown tutorials covering installation, markdown, text datatypes, numeric data types, collections, programming constructs, the collections, itertools, math, random, datetime, statistics, sys, operating system, abc, csv and pickle modules, the numpy, pandas and matplotlib libraries.

  • Updated May 21, 2024
  • Jupyter Notebook

A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).

  • Updated Mar 12, 2024
  • Jupyter Notebook

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