As promised, top algorithms to know. Sorted by usefulness. 1. Binary search 2. KMP (string search, not call to action) 3. Quick Sort 4. Merge Sort 5. Fast Fourier Transform (FFT) 6. Depth-First Search (DFS) 7. Breadth-First Search (BFS) 8. Topological Sort 9. Lowest Common

While learning various algorithms, the visualization plays a significant role in grasping the concepts easily. The algorithm-visualizer.org is an excellent resource with amazing collections of algorithms.

Dmitrii Kovanikov I wrote a pretty intensive article about this topic sometime ago, please take a look if you're interested: namvdo.ai/content-addres…

This is the power of YOLO, trained on a laptop for ~1 hour, with a Kaggle dataset. Oh, and just ~100 lines of Python. I can make a startup on this and it took me literally a couple of hours.

I've been coding in Python for 9 years now. If I were to start over today, here's a complete roadmap:

AI tool to convert PDFs and images into clean, readable text while preserving natural reading order. 100% Opensource.

Everyone is sleeping on this new OCR model! Datalab's Chandra topped independent benchmarks and beat the previously best dots-ocr. - Support for 40+ languages - Handles text, tables, formulas seamlessly I tested on Ramanujan's handwritten letter from 1913. 100% open-source.