Coding School vs PseudoLearn

Coding School teaches you to code with short lessons you can finish in a few minutes a day. Learn Swift, Python, data science and AI with Python through real code examples and instant feedback. FOUR LEARNING PATHS • Basic Swift: variables, functions, optionals, structs, enums, closures, protocols, error handling, SwiftUI basics and a project • Basic Python: types, conditions and loops, lists and dictionaries, functions, classes, modules, files and errors • Data Science with Python: pandas, cleaning data, statistics, charts, machine learning and model evaluation • Basic AI with Python: using AI models, prompting, embeddings and semantic search, retrieval-augmented generation (RAG), evaluating AI output and AI safety LEARN BY DOING • 42 lessons split into bite-sized subtopics • 706 exercises: multiple choice, multi-select, fill in the blanks, code entry and projects • Checkpoints inside every lesson confirm you understood before you move on • Hints, explanations and model answers for every exercise • Final review tests show what you remember PRACTICE QUIZZES • 800 practice questions across the four paths • 10 random questions per attempt, with a full answer review and the topics to revise BUILD A DAILY HABIT • Set a daily goal and keep your streak going • Optional daily reminder • Stars, achievements and progress for every lesson LEARN IN YOUR LANGUAGE • Lessons and quizzes in 18 languages, switchable inside the app • Code stays in standard English, just like in real projects FREE TO START • The first 3 lessons of every path are free, and no account is needed • Full Access is a one-time purchase, not a subscription: every lesson, no banner ads, a certificate of completion for Basic Python and all future lessons

PseudoLearn is a learning environment for writing and running pseudocode. Write an algorithm and step through it at four different speeds. As it runs, the code, the flowchart, the Nassi-Shneiderman structogram, the UML class diagram and the trace table all point at the same instruction. Watching them move together is what turns a list of steps into an idea you actually understand. WHAT'S INSIDE • An editor with live diagnostics that mark the exact range of the problem as you type. • Guided step-by-step execution with pace control. • Flowchart, Nassi-Shneiderman structogram and UML class diagram, synchronized with execution. • A trace table that inspects variables, arrays and references between objects. • Translation of your algorithm into Python and Rust, so you can see the same idea written in an industrial language. • A knowledge base of fifteen modules across three levels, with activities and checkable exercises. • Exercise checking against visible and hidden cases: it tells you what is missing, without punitive scoring. • A personal library of documents, available offline and synchronized across your devices. WHO IT IS FOR For anyone starting to program who needs to see what their algorithm does, and for anyone teaching it who wants to show them. Available in Spanish and English.