Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Talks at conferences, meetups, hackathons, and more, plus my speaker rider for good measure.

ESLint rules for Tailwind CSS

Data + code examples used here: https://twitter.com/kate_ptrv/status/1332398737604431874?s=20

Magnificent app which corrects your previous console command.

Code for the paper "Jukebox: A Generative Model for Music"

A small demo using WebXR and Deep Learning to create Holograms of people

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Python programs, usually short, of considerable difficulty, to perfect particular skills.

How to be low-level programmer