Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
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Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Manually curated collection of resources for frontend web developers.
Cheatsheets for experienced React developers getting started with TypeScript
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Learn how to design systems at scale and prepare for system design interviews
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Awesome Docker Compose samples
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Learn regex the easy way
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
This is a repo with links to everything you'd ever want to learn about data engineering
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
Front End interview preparation materials for busy engineers (updated for 2026)
A golang ebook intro how to build a web with golang
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
Learn System Design concepts and prepare for interviews using free resources.
A collection of design patterns/idioms in Python
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
Flight rules for git
the only cheat sheet you need
The best design tools and plugins for everything 👉