Projects Publications Blog Linklog

Linklog

A curated collection of links and resources I have found over time.

Tags: #algorithms (8)#best-practices (9)#cli (4)#data (10)#data-science (7)#deep-learning (8)#diffusion (3)#library (11)#llm (10)#LLM (1)#markdown (2)#optimization (6)#physics (3)#python (27)#rust (7)#SQL (2)#statistics (4)#tools (7)#vcs (6)#web-dev (4)

June 2025

Week 25
  • Introduction to the A* Algorithm (www.redblobgames.com) - #algorithms

    I always love a good algorithm visualisation, and this article does a really good job at explaining the A* and Dijkstra graph exploration algorithms.

May 2025

Week 22
  • Reservoir Sampling (samwho.dev) - #algorithms

    A very interesting sampling method specialized in fair selection of streaming events.

March 2025

Week 10
  • Markov Chains explained visually (setosa.io) - #algorithms

    A very neat summary of what Markov chains are and how they work, with beautiful animations.

February 2025

Week 8
  • Generating Mazes (healeycodes.com) - #algorithms

    A great introduction to maze generation algorithms with informative visual.

  • (Ab)using General Search Algorithms on Dynamic Optimization Problems (dubovik.eu) - #optimization#algorithms

    An interesting analysis of various optimization algorithms applied to a simple dynamical programming problem. Features beautiful visualizations of those algorithms.

Week 7
  • Taking a Look at Compression Algorithms (cefboud.com) - #algorithms

    A short blog post summarizing the main compression algorithms. It's incredible how little I knew about something I use so much.

November 2024

Week 45
  • Algorithm Afternoon (algorithmafternoon.com) - #optimization#algorithms

    This a collection of all the optimization metaheuristic you can possibly imagine, with comments on how to implement them and what parameters can be tuned. The aim is to take it one algorithm per afternoon.

September 2024

Week 39
  • Visualizing Algorithms (bost.ocks.org) - #algorithms

    A beautiful set of visualizations of common algorithms. Perfect to truly understand what happens in a quicksort algorithm, or to compare different sampling algorithms.

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