Install Python 3.13 on macOS for Data Science (2025 Guide)
How to Install Python 3.13 on macOS (2025) with VS Code & uv – The easiest way to set up a complete Python development environment for data analysis, finance, and machine learning 🚀
Want to install Python 3.13 on macOS the easy way? In this step-by-step tutorial, I’ll show you how to set up a powerful Python coding environment using VS Code and uv, the modern package manager that outperforms Anaconda and Poetry.
Whether you’re a beginner or an experienced programmer, this guide will help you install Python on macOS, configure VS Code for Python development, and manage dependencies efficiently. Perfect for data scientists, researchers, and finance professionals!
In this video, you’ll learn how to:
✅ Install Python 3.13 on macOS
✅ Set up uv as a fast, efficient package manager (better than Anaconda & Poetry!)
✅ Install and configure Visual Studio Code (VS Code) for Python
✅ Create a sandbox environment for data analysis, machine learning, and finance
🔗 Useful Links:
uv (official documentation) – https://docs.astral.sh/uv/
Download VS Code – https://code.visualstudio.com
💡 Enjoyed this tutorial? Let me know in the comments what you’d like to learn next!
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🔖 Chapters:
00:00 Introduction – Why Python 3.13 and uv?
01:08 Installing uv – A better package manager than Anaconda?
03:24 Setting up a Python sandbox for data analysis
04:39 Installing & configuring VS Code for Python development
📌 keywords:
#Python #PythonInstallation #macOS #VSCode #uv #DataScience #MachineLearning #FinanceCoding #PythonDevelopment