book for parents and kids.
A Curated List of Awesome projects made completely with Python.
These exercises are focused on absolute beginners. The purpose of these exercises is to help you develop algorithmic problem solving skills from early stage.
This is a repository of my solutions to hacker rank problems.
LeetCode Problems
Solutions of the exercises of "introduction to programming using python" book
🥋 Coding Dojo é uma forma de treinar suas habilidades em desenvolvimento de sistemas. Usamos o formato KATA. Nesse formato vamos apresentar o desafio e apresentar a proposta de solução (sem mostrar o código), e reunir as pessoas em equipes. Esse repositório serve como uma central de tudo o que acontece no NCD. Fique por dentro!
This Repository contains Student management System made with the help of PYTHON language using GUI, tkinter & sqlite3.
Quick Reference for Python
A simple quiz game built using Python
Python practice repository with 200 solved exercises, examples, and core programming concepts.
100 Python Practice Problems - A collection of coding challenges designed to help beginners and intermediate programmers enhance their Python skills. Includes exercises on basic programming concepts, string manipulation, data structures, algorithms, and more.
Complete Python curriculum: zero experience → full-stack mastery. 274 hands-on projects, 34 concept guides, 248 solution walkthroughs, AI-native tutoring, spaced repetition. Free & open source.
Computer Science (data structures, algorithms), challenges solutions from LeetCode, Advent Of Code, Project Euler etc.
In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.
All my solo learn course projects and certificates
Cours d'informatique
Notes and studies about single-cell RNA-Seq analysis
A progressive collection of Python exercises covering fundamentals, OOP, exceptions, generators, packages, Pydantic, functional programming, closures, and decorators.
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