‼️ A complete primer on the whys and hows of todo.txt.
- todo
- todotxt
- todos
Repository Index
47,133 repositories indexed
145–168 of 292 · Most stars
A walk through the Elixir language in 30 exercises.
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
XDP tutorial
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
A collection of succinct guides - Public Domain
Guidelines and training material to write secure smart contracts
The repository host gives no description.
Demonstrates how to build a live broadcast app(Swift 3)
Ruby Tricks, Idiomatic Ruby, Refactoring and Best Practices
Gemini CLI Tips and Tricks
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript
Implementing a Neural Network from Scratch
One stop shop for getting started with the Vulkan API
- vulkan
- vulkan-guide
- khronos
Inspired by @veltman's command-line mystery, use SQL to research clues and find out whodunit!
Handout for the tutorial "Creating publication-quality figures with matplotlib"
The OWASP NodeGoat project provides an environment to learn how OWASP Top 10 security risks apply to web applications developed using Node.js and how to effectively address them.
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
:computer: :mortar_board: Learn Git and GitHub. Try the new desktop version →
Malware samples, analysis exercises and other interesting resources.
- malware-samples
- trickbot
- pcaps
- lokibot
Cookbook for Node on FHIR and the clinical Meteor.js build pipeline. Create FDA, HIPPA, and HL7 compliant Javascript/Node applications!
:orange_book: a brief introduction to using Promises in JavaScript
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
- agent
- large-language-models
- llm
- llm-learning