Algorithmic Problem Solving

This page in French

Latest posts

• Mar 11, 2023 Meilleur developpeur de France 2023 – Christoph Dürr
• Feb 24, 2023 SWERC 2022 Practice Session - Bloggers – Antoine Amarilli, Christoph Dürr, Xiu-Heng Hua and Jill-Jênn Vie
• Jan 20, 2023 Deep Reinforcement Learning – Jill-Jênn Vie
• Dec 17, 2022 Organizing contests with judges – Jill-Jênn Vie
• Dec 17, 2022 AlphaGo and Alpha Zero – Jill-Jênn Vie
• Nov 30, 2022 Six dates importantes en algorithmique – Jill-Jênn Vie
• Nov 3, 2022 Quadrangle Inequality trick for dynamic programs – Christoph Dürr
• Nov 1, 2022 Pareto optimality – Christoph Dürr

Code: the tryalgo library of 128+ algorithms

We collected implementations of various algorithms and data structures in a PyPI Python library.

pip install tryalgo

• Check the docs
• See on GitHub
• Download all files in a ZIP

Book: Competitive Programming in Python

We published a book on competitive programming in Python, documenting most of the content of the library tryalgo. It appeared in several languages.

• English — this latest translation contains some improved presentations over the other versions
• Other languages: French, Chinese, Taiwanese
• Check the errata

Problems

• List of problems
• List of competitions

See our Jupyter notebook (in French): TryAlgo Maps in Paris

Here is a pseudocode in order to optimize your learning:

import tryalgo                 # import all you can eat

try:
    problem = read(statement)    # needs organisation
    algo = solve(problem)        # needs skills
    solution = implement(algo)   # needs experience
    answer = submit(solution)
    assert answer == "Accept"
except SubmissionError:
    learn_more()