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A new markup-based typesetting system that is powerful and easy to learn.
๐ฅช๐ฆ An open source sandbox project exploring dbt workflows via a fictional sandwich shop's data.
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
๐ Curated list of awesome resources on Compilers, Interpreters and Runtimes
Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)
Interactive Structure and Interpretation of Computer Programs
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
How to build RNNs and LSTMs from scratch with NumPy.
๐ Awesome lists about all kinds of interesting topics
A Collection of GitHub Profiles with awesome readme
A list of developer portfolios for your inspiration
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
An ongoing list of pandas quirks
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A public list of open-source challenges from jobs around the world
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
This is a quick ref for general networking topics and google cloud networking stuff
๐ Guides, papers, lecture, notebooks and resources for prompt engineering
A curated list of software and architecture related design patterns.
A curated list of awesome infosec courses and training resources.
A resource for learning about Machine learning & Deep Learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Software Engineering for Engineering Students
Get a Software Engineering Job - Ultimate Guide
Books for people who are or aspire to manage/lead team(s) of software engineers
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.