Set up Python 3.13 + Anaconda environment and all essential ML libraries in one session! - Day1 скачать в хорошем качестве

Set up Python 3.13 + Anaconda environment and all essential ML libraries in one session! - Day1

Welcome to Day 1 of the AI & Machine Learning Summer School (July 7 – 28, 2025)! In this kickoff session, we will walk you through everything you need to get your development environment ready for serious ML project. What you’ll learn in this video Introduction & course goals Recommended hardware specs (CPU • GPU • RAM • Storage • Monitor) Why environment setup matters in AI projects Installing Python 3.13 (on Windows) & adding it to PATH Verifying your installation (`python --version`, `pip --version`) Installing the Anaconda distribution and when to use it Creating virtual environments (`venv` vs `conda`) Must-have AI/ML libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Streamlit, Supabase) Best practices for documenting your environment Day 1 recap & what’s next Helpful links 🔗 Python downloads – [https://www.python.org/downloads/](https://www.python.org/downloads/) 🔗 Anaconda distribution – [https://www.anaconda.com/products/dis...](https://www.anaconda.com/products/dis...) 🔗 Library docs:   • NumPy – [https://numpy.org/doc/](https://numpy.org/doc/)   • Pandas – [https://pandas.pydata.org/docs/](https://pandas.pydata.org/docs/)   • Matplotlib – [https://matplotlib.org/stable/content...](https://matplotlib.org/stable/content...)   • Seaborn – [https://seaborn.pydata.org/](https://seaborn.pydata.org/)   • Scikit-learn – [https://scikit-learn.org/stable/user\guide.html](https://scikit-learn.org/stable/user_...)   • Streamlit – [https://docs.streamlit.io/](https://docs.streamlit.io/)   • Supabase – [https://supabase.com/docs](https://supabase.com/docs) Resources 📥 Slide deck (PDF) and📝 Course GitHub repo – https://github.com/graceugochinneji/C... This content delivers: 15-Day Coding-First Curriculum – daily deep-dive videos, notebooks, and projects covering Python, data wrangling, classical ML, deep learning, MLOps, and real-time dashboards. Hands-On Walk-Throughs – we code everything live and explain each line so you can follow along with zero guesswork. Practical Tools & Workflows – environment setup, virtual environments, GPU tuning, Streamlit dashboards, Supabase auth, and more. Open Resources – slide decks, GitHub repositories, and community Q\&A to support your learning journey. Watch, share and hit 🔔 the Subscribe button to join thousands of learners leveling up their AI skills, and dive into our Day 1 Environment Setup video to get started!