The fundamental package for scientific computing with Python.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Example code for Our Python Fundamentals LiveLessons Videos

The fundamental package for AIops with python.

Algo-Tree is a collection of Algorithms and data structures which are fundamentals to efficient code and good software design. Creating and designing excellent algorithms is required for being an exemplary programmer. It contains solutions in various languages such as C++, Python and Java.

Learn the fundamentals behind one of the most popular web frameworks in the world: Django. We will teach you step-by-step how to implement concepts like Views, Template Rendering, Forms, Saving Data, URL routing, Deployment aka Going Live, and so much more. Django is a web-framework written in Python and runs the backend for many of the internet's most popular websites such as Instagram and Pinterest. Get started today!

Fundamentals of Spark with Python (using PySpark), code examples

A curated learning repository focused on High-Performance Computing (HPC) — covering fundamentals to advanced topics in CUDA, MPI, C++, and Python-C++ interoperability.

My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

Source code for the course Qt For Python (PySide6) GUI For Beginners : The Fundamentals on udemy

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

Course materials for my Udemy Python Fundamentals course

Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets curiosity. Let's connect, learn, and code together. Click ⭐ on GitHub to stay tuned for updates on my work!

Simple Python module for downloading fundamental financial data from financials.morningstar.com.

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

Guide explaining and implementing fundamental machine learning algorithms in Python

Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.

D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import data, and more, using Python and Jupyter Notebooks.

Python Data Analysis course materials of Timofey Khirianov (MIPT, Phystech School of Fundamental and Applied Physics).

This is the repository for a Python bioimage analysis course which establishes the fundamentals of image analysis in the context of biological imaging.

Develop a full-stack web application with Python and Flask

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.