NumTest vs Python, Step by Step

The primary objective of this application is to provide researchers with a mechanism for testing and comparing the performance of their numerical solvers. This application includes algorithms capable of benchmarking values on a diverse range of scientific numerical problems. It is important to note that the results presented are for comparison purposes only and are not guaranteed to be correct. We will be adding more topics in the future. Please encourage us by sharing this app with your friends and colleagues. Your support is greatly appreciated! If you have any questions or feedback, please contact us at daniel.hadush@gmail.com. Thank you for your interest!

A quiz-based Python learning app, sized for your phone. Python, Step by Step is a Python intro built for people learning to code for the first time. Tap-only micro-lessons that take a few minutes each cover the basics — variables, data types, branching, loops, functions — without ever asking you to type a single line of code. Highlights - A few minutes per lesson. Built for your commute, your coffee break, your before-bed reading - 16 units — from the basics all the way to classes, exceptions, and the standard library - Varied exercises — predicting output, filling in blanks, reordering lines, and more - All learning content is free. No paywalls - Streaks (consecutive days) help you build the habit Who it's for - People just starting with programming - Anyone who needs to pick up Python for work or a career switch - Anyone who wants to touch a bit of code in short bursts What you'll learn (16 units) 1. Welcome (first program, print, comments, input) 2. Variables and Data Types (numbers, strings, booleans) 3. Doing Math (operators, f-strings) 4. Branching (if / elif / else, logical operators) 5. Repeating (for / while, break / continue) 6. Functions (defining, arguments, return) 7. Talk to your program (input, prompts, interactive programs) 8. Group with lists (create, index, loop) 9. Dictionaries and tuples (keys and values, sets) 10. Classes 101 (__init__, self, methods) 11. Exceptions (try / except, raise) 12. Files (open, read, write) 13. Functions, leveled up (lambda, *args, map / filter) 14. Class inheritance (super, overriding) 15. Comprehensions and iterators (generators, yield) 16. Standard library (math, random, datetime, os)