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conda

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Data-science tutorials covering Python, Object-Orientated Programming Python standard libraries such as collections, itertools, math, statistics, random and datetime. The tutorials also cover the data-science libraries such as numpy, pandas, matplotlib and seaborn as well as the conda ecosystem.

  • Updated Mar 17, 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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