Day 17: NumPy Basics for Data Science (Arrays, Speed & Math Explained) | 120-Day Data Science Series
Автор: Data Scientist Afzal
Загружено: 2025-12-25
Просмотров: 116
#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,
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: