Useful functions, tutorials, and other Python-related things
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Updated
Jun 27, 2022 - Jupyter Notebook
Useful functions, tutorials, and other Python-related things
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
Aqui contém diversos tutoriais sobre programação e tecnologia
Python List Explorer - find the code references for the frequently used list operations
🔓 Unlock your Python superpowers with Daily Python Tips! 💪🐍 Get your daily dose of Python tricks, hacks, and fun facts to level up your coding game. 🚀
Python Tips and Tricks for everyday coding. Be better at Python
Coleção de Notas e Guias para Utilização e Consulta Rápida de Python
Machine Learning Practice, Useful Code Snippets, useful tips, etc.
QA Daily Python Tips. Focusing on Daily Tasks to learn Python
Welcome to the "Modules and Packages" class in Python! In this class, you will learn about modules, packages, and how to import statements from one module to another or from one package to another
Occasionally I run into some nice coding patterns in Python. I'll keep adding them in a notebook here as I encounter them.
scripts, tips and any other usefull things
Welcome to Python Logging and Debugging Project! Enhance your Python projects with robust logging and debugging features for efficient monitoring and issue resolution. 🐍🛠️
🚀 A curated collection of Advanced Python Coding Notes — perfect for learners progressing from beginner to advanced. Includes real-world examples, clean code practices, and deep dives into Python’s powerful features.
This Python script returns how long it takes to create a list from a range using a for loop.
Curated custom functions approved by the Open WebUI core team. These high-quality, reliable functions integrate easily with your Open WebUI projects. 🛠️✨
🧰 Essential EDA and Data Cleaning Helpers for Any DataFrame This collection of functions is designed to accelerate exploratory data analysis (EDA), quickly surface data quality issues, and offer high-level insights into the structure and content of your dataset.
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