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Starred repositories
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A collection of design patterns/idioms in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python packaging and dependency management made easy
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
This is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Write scalable load tests in plain Python 🚗💨
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Python composable command line interface toolkit
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Asynchronous HTTP client/server framework for asyncio and Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Companion code to my O'Reilly book "Flask Web Development", second edition.
A curated list of practical financial machine learning tools and applications.
🚴 Call stack profiler for Python. Shows you why your code is slow!
A lightweight library for converting complex objects to and from simple Python datatypes.