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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

Описание:

#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
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💻 My Laptop Lenovo LOQ 2025 AMD Ryzen 7 250| NVIDIA RTX 5050 8GB : https://amzn.to/4ocqbCp
🎬 My Gaming Chair: https://amzn.to/4qAYrsI

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Day 17: NumPy Basics for Data Science (Arrays, Speed & Math Explained) | 120-Day Data Science Series

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