Literature references for “Designing Data-Intensive Applications”

SMORe: Modularize Graph Embedding for Recommendation

Curated list of resources about Apache Airflow

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,…

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A simple and efficient tool to parallelize Pandas operations on all available CPUs

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

An open-source, low-code machine learning library in Python

Python wrapper for TA-Lib (http://ta-lib.org/).