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Grokking the Coding Interview: Patterns for Coding Questions Alternative
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
List of Computer Science courses with video lectures.
🎓 Path to a free self-taught education in Computer Science!
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Dev…
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science interview questions and answers
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Brightcove connector to Adobe Experience Manager
📙 Amazon Web Services — a practical guide
An Open Source Machine Learning Framework for Everyone
A Jupyter Workbench that includes Python, R and dynamic dashboard capabilities.
The "Python Machine Learning (1st edition)" book code repository and info resource
Interactive and Reactive Data Science using Scala and Spark.
Demo images for use in try.jupyter.org and tmpnb.org
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.