#python Cheatsheets
A concise cheat sheet for the scikit-learn library, covering essential functionalities for machine learning in Python. This guide includes key concepts, model selection, preprocessing techniques, and evaluation metrics with practical examples.
A comprehensive cheat sheet for the Tornado web framework, covering its core concepts, modules, and usage patterns for building asynchronous web applications in Python.
A comprehensive cheat sheet for Python, covering essential syntax, data structures, and common libraries. Useful for beginners and experienced developers alike.
A comprehensive cheat sheet covering essential concepts, tools, and techniques in Data Science. It provides a quick reference for machine learning algorithms, data manipulation, statistical methods, and more.
A quick reference guide for Apache MXNet, covering essential concepts, modules, and operations for building and training neural networks.
A comprehensive cheat sheet for PyTorch, covering essential concepts, modules, and functions for building and training neural networks.
A quick reference guide for Django, covering models, views, templates, forms, and common commands.
A comprehensive cheat sheet covering essential PyCharm shortcuts for increased productivity. Master navigation, editing, refactoring, debugging, and more.
A concise cheat sheet for Keras, covering fundamental concepts, common layers, model building, training, and evaluation techniques for deep learning.
A comprehensive cheat sheet for FastAPI, a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
A quick reference guide to TensorFlow, covering its core concepts, common operations, and essential functions for building and training machine learning models.
A comprehensive cheat sheet covering essential scripting and automation concepts, tools, and techniques.
A quick reference guide to the Flask micro web framework for Python, covering essential concepts, code snippets, and best practices.
A quick reference guide to the Pyramid web framework for Python, covering configuration, views, routing, and more.