00:00 Intro
00:38 Introduction to Python
01:29 Setting up Python
03:55 What is Jupyter?
04:56 Anaconda Installation Windows, Mac & Ubuntu
09:12 How to implement Python in Jupyter
09:57 Managing Directories in Jupyter Notebook
12:44 Input/Output
14:30 Working with different datatypes.
15:35 Variables
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Welcome to Part 1 of our Python for Data Science series! In this introductory video, we’ll explore how Python has become one of the most popular and powerful programming languages for data science.

In this video, you’ll learn:

What is Data Science and how Python plays a crucial role in it.
Setting up your Python environment for data analysis with tools like Jupyter Notebook.
A quick overview of the most essential libraries for data science, including NumPy, Pandas, and Matplotlib.
Basic Python syntax and data types that are important for data science tasks.
Hands-on examples to get you started with data loading, manipulation, and visualization.
By the end of this video, you’ll have a solid understanding of the basics of Python for Data Science, setting the foundation for more advanced topics in future episodes.
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