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computer-programming

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Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.

  • Updated May 10, 2025
  • Jupyter Notebook

The repository contains common data-structures, algorithms and implementations of the popular problems in C++. The Repository also contains graphic programming codes, contest solutions like of Euler Plus on HackerRank and some coursera competetive programming course solutions.

  • Updated Oct 30, 2020
  • C++

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