Скачать или смотреть Python Basics for Data Science | Day 2 | Data Science Full Course | Data Science in 30 Days |

🚀 Welcome to Day 2 of the "Complete Data Science in 30 Days" series! 🎉
In this video, we cover Python Basics — the most important programming language for data science and machine learning.

👉 What you’ll learn today:
• Python syntax and variables 🐍
• Data types (lists, tuples, dictionaries) 📊
• Control flow (if-else, loops) 🔄
• Functions and modular programming ⚙
• Why Python is essential for data science 💡
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▶️ This series is designed to take you from beginner to advanced in just 30 days, with clear explanations and practical examples.

📌 Don’t forget to Subscribe to The Data Key so you don’t miss Day 3: NumPy Essentials!
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🔗 Resources to Learn More:

🔹Official Python Docs: https://docs.python.org/3/

🔹W3Schools Python Tutorial: https://www.w3schools.com/python/

🔹Python for Data Science Handbook (free): https://jakevdp.github.io/PythonDataS...

📚 Books & Learning Resources:

🔸Python for Data Analysis - Data Wrangling with pandas, NumPy, and Jupyter by Wes McKinney : https://amzn.to/41XCedX

🔸Data Analytics using Python Paperback by Bharti Motwani : https://amzn.to/4n9cjZk

🔸Data Science and Analytics with Python Paperback by Sandhya Arora, Latesh Malik : https://amzn.to/41XCV73

🔸Python Data Science Handbook: Essential Tools for Working with Data
by Jake VanderPlas : https://amzn.to/42z3ob7
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OUTLINE:
00:00:00 : Your Python Journey Begins!
00:01:21 : Variables and Data Types
00:03:14 : Lists and Dictionaries
00:05:14 : SECTION S004: Functions in Python
00:07:46 : SECTION S005: The Magic of Loops
00:09:33 : SECTION S006: Introducing NumPy
00:11:34 : Getting Started with Pandas
00:13:37 : Visualizing with Matplotlib & Conclusion
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