Nền tảng học tập cả nhân hóa NeuroLearn
📈 Implement algorithms for quantitative finance and algorithmic trading with py-alpha-lib, designed for efficient financial data analysis and rolling window calculations.
📊 Streamline your data workflows with Python scripts for analysis, automation, and exploratory data analysis (EDA).
📝 Manage your daily tasks effortlessly with a type-safe Python CLI. Add, view, update, and track todos directly from your terminal.
🗂️ Recover hidden text from redacted PDFs by removing weak redaction layers and inspecting underlying content with effective batch processing tools.
🏋️♂️ Get exercise information easily with the Exercises API, a simple tool for accessing details on various exercises across multiple platforms.
🐍 Explore key Python concepts and enhance your coding skills with organized notes for easy reference and learning.
🏥 Analyze and visualize hospital data using Python, embracing community values to enhance understanding and learning in data analytics.
Python concepts from basics to advanced for Machine Learning learners
Generate detailed map posters from place names using a standalone Python renderer outputting high-quality PNG and SVG files.
Provide Python project setups, testing tools, and FastAPI/MCP bootstraps using uv-first workflows for consistent automation and development.
Official resources for the python999 book by Anurag Gupta. Explore interactive GitBook chapters, GitHub source code, and ready-to-run Google Colab notebooks.
🤖 零基础 AI 学习之路 | 30 天从小白到实战 | Python → 机器学习 → 深度学习 → 项目实战 一个完整的 AI 入门教程，包含： 📚 30 天系统教程（费曼学习法·大白话讲解） 💻 4 个完整项目（图像分类·文本生成·目标检测·模型部署） 🎯 100+ 代码示例（可直接运行） 🆓 完全免费开源（MIT 许可证）📖 配套教程：CSDN专栏 https://blog.csdn.net/m0_67081842
Python library for financial time series analysis and algorithmic trading. VECM-GARCH models, multivariate analysis, and trading strategies. Includes Udemy course materials.
"Python Dersleri" YouTube oynatma listesindeki tüm ders videolarının kodları
This repository is a comprehensive collection of Python programming practice exercises, starting from absolute basics and gradually moving to more advanced topics like 2D arrays (matrices), list comprehensions, and problem-solving with dictionaries.
A beginner-friendly NumPy tutorial covering arrays, slicing, broadcasting, filtering, and random numbers — with examples.
🐍 A collection of 20 beginner-friendly Python projects to learn programming through hands-on practice. From basic calculators to web scrapers - perfect for new developers!
A structured, hands-on guide to NumPy — the foundation of numerical computing in Python.
A comprehensive collection of 1000 Python code snippets for demonstration and simulation.
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