TDS Summary
Compressed cheatsheets for Tools in Data Science. Select any module to begin.
Foundations
Dev Basics & Tools
VS Code, JSON, CSV, deploy
Shell & CLI
grep, awk, pipelines
Git & Version Control
branches, hotfix, history
Python Pipelines
generators, memory, IO
Data Science
Pandas Mastery
groupby, merge, clean
Data Cleaning
OpenRefine, GREL, fuzzy
Modern Data Stack
Parquet, DuckDB, Polars, Arrow
ML Sklearn Guide
models, metrics, tuning
APIs & Scraping
requests, BS4, status codes
FastAPI & Pydantic
async, validation, Swagger
Modern AI
AI & LLM Integration
RAG, embeddings, prompts
GenAI & Agents
LoRA, DPO, LangGraph, Agentic
HuggingFace Hub
transformers, PEFT, Spaces
Deployment & DevOps
Docker, CI/CD, monitoring
Dev Tools
Web DevTools
Network, Console, XHR
Streamlit & Gradio
data apps, ML demos, Spaces
Dev Flow Tools
IDE, CI/CD, testing, linting
GIS & Spatial Tools
GeoPandas, Folium, NetworkX