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Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.

Fit portfolio models and evaluate them on later market data

Interactive technical modules and learning paths

Learn Go through test-driven development

A roadmap linking data structures with solved coding challenges

Coding exercises for data and machine-learning study

Interactive JavaScript study with projects and challenges

A browser simulation for exploring Git repositories

The Microsoft test framework for writing and running unit tests in .NET projects.

Coding-oriented curricula across modern machine learning

An Erlang book for programmers exploring functional ideas

A Rust-oriented tutorial for GPU programming with wgpu

Regex lessons beside a cheatsheet and playground

Compare stock fundamentals, valuation assumptions and portfolio income

A video course and resource library for visual interface design

Co-author a company knowledge base and connect it to employee training material.

Learn CSS selectors by choosing items on a table

Everyday English listening in an Australian setting.

Learn Ruby by correcting ordered test-based exercises

Learn computer architecture through logic and assembly puzzles

Compose file-processing jobs from import, conversion, and export tasks.

Store and retrieve large-scale data with Apache's distributed, column-oriented Hadoop database.

A terminal code editor built around selecting text first and applying editing commands to it.

A beginner-focused Python IDE that makes variables and program execution visible while you learn.