Day 17: NumPy Basics for Data Science (Arrays, Speed & Math Explained) | 120-Day Data Science Series
#python #vscode #datascience #machinelearning #genai #agenticai #pythonbeginners #codingforbeginners #datasciencetutorial #pythonsetup 120-Day Data Science Series Welcome to Day 17 of the 120-Day Data Science Series! 🎯 In this video, we cover NumPy Basics for Data Science, the most important foundation for Data Analytics, Machine Learning, Deep Learning, and AI. If you truly want to become a Data Scientist, NumPy is non-negotiable. Almost every major Data Science library (Pandas, Scikit-learn, TensorFlow, PyTorch) is built on top of NumPy. This video is designed to make you confident, not confused. 🔥 What You Will Learn in Day 17 ✅ What is NumPy & Why It Matters Why Data Scientists prefer NumPy over Python lists How NumPy achieves speed using arrays ✅ NumPy Arrays Explained Creating NumPy arrays Difference between Python lists & NumPy arrays Understanding ndarray ✅ Array Properties shape, size, ndim, dtype Why these matter in real projects ✅ Indexing & Slicing 1D and 2D array indexing Extracting meaningful data ✅ Vectorized Operations Element-wise arithmetic Broadcasting explained with examples ✅ Aggregation & Statistics sum, mean, min, max, std Column-wise vs row-wise operations (axis) ✅ Reshaping & Filtering reshape, flatten Boolean indexing ✅ Performance Insight NumPy vs Python loops Why vectorization is critical ✅ Real-World Data Science Examples Feature matrix creation Numerical data processing 🎯 Why This Video is Important Without strong NumPy basics: ❌ Pandas feels confusing ❌ ML math feels hard ❌ Performance becomes a problem With NumPy: ✅ Faster code ✅ Cleaner logic ✅ Strong DS foundation 🔗 Resources & Links 📘 Notebook / Code Files: https://drive.google.com/drive/folder... ▶️ Watch Previous Days (Full Playlist) 📌 Day 1 – VS Code Installation 📌 Day 2 – Python Basics [ • How to Install VS Code for Python (Step-by... ] 📌 Day 3 – Data Structures + Libraries [ • Day 2: Python Basics for Data Science (Beg... ] 📌 Day 4 – If–Elif–Else Conditions [ • Day 3: Python Data Structures, NumPy & Pan... ] 📌 Day 5 – For Loop [ • Day 4: Python If–Elif–Else Explained for D... ] 📌 Day 6 – For Loop Advance [ • Day 6 : Python For Loop SECRET You Need to... ] 📌 Day 7 – Full While Loop Masterclass [ • Day 7: While Loop Mastery for Data Science... ] 📌 Day 8 – Functions 📌 Day 9 – List Basics 📌 Day 10 – Advanced Lists 📌 Day 11 – Tuples 📌 Day 12 – Dictionaries (Basics) 📌 Day 13 – Advanced Dictionaries 📌 Day 14 – Python Sets 🎥 Full Playlist: [ • 120 Day Data Science Series ] 🔗 Follow Me on Socials 📸 Instagram: / datascientistafzal.ai 💼 LinkedIn: / afzal-mansury 📢 WhatsApp Channel: https://whatsapp.com/channel/0029VaCL... 🌐 TopMate (Ask me Anything): https://topmate.io/dashboard/home 🎥 Gear & Products I Use (Affiliate Links) 🎙️ Hollyland Lark M2 Combo : https://amzn.to/4nqWpst 💡 Digitek Ring Light : https://amzn.to/4oLDauW 📷 Digitek Tripod : https://amzn.to/43BjscY 💻 My Laptop Lenovo LOQ 2025 AMD Ryzen 7 250| NVIDIA RTX 5050 8GB : https://amzn.to/4ocqbCp 🎬 My Gaming Chair: https://amzn.to/4qAYrsI python dictionary basics, python dictionary tutorial, nested dictionary python, python for data science, python data structures, dictionary methods python, 120 day data science series, python beginner to advanced, python key value pairs, python interview preparation,
