Asynchronous Python [Part 1]: Mastering GIL, Multithreading, and Multiprocessing

9 min read

A comprehensive guide to understanding Asynchronous Python. Unveil the mysteries of Python's GIL, and master Python's concurrency mechanisms: multithreading and multiprocessing.

Python for Java Programmers

12 min read

A comprehensive guide to understanding Python for developers who are well-versed with Java.

Reinforcement Learning

6 min read

Reinforcement learning is a framework for solving control tasks (also called decision problems) by building agents that learn from the environment by interacting with it through trial and error and receiving rewards (positive or negative) as unique feedback.

Attention Is All You Need

4 min read

Transformers achives the state-of-the-art in machine translation and other NLP related tasks using attention mechanisms.

Batch Normalization

4 min read

Batch Normalization is a technique for making artificial neural network training faster and more stable by normalizing the layers' inputs for each training mini-batch. This normalization reduces the effect of internal covariate shift, allowing for faster training with higher learning rates.