Are you new to Python and looking to kick-start your journey into the world of data science? Look no further! In this informative video, we've got you covered with a comprehensive introduction to Python for beginners. We'll delve into the fundamental building blocks of Python, focusing on Variables, Strings, Numbers, and their various types.
But that's not all! We'll also demystify important concepts like Booleans, Lists, Tuples, Sets, and Dictionaries, breaking them down step by step. Whether you're confused about these Python objects and data structures or simply want to reinforce your understanding, this lecture is the perfect resource for you.
Join us on this educational adventure as we provide complete implementations and insights into python for data science. By the end of this video, you'll have a solid foundation in python basic objects and data structures, setting you on the path to mastering data science with Python.
Don't miss out on this opportunity to boost your Python skills and excel in the world of data science. Subscribe now and hit that notification bell to stay updated on all things Python and data science!
We cover below questions in this tutorial.
1.) What are the basic data types and data structures in python?
2.) What are variables and how to use them in python?
3.) What is string in python?
4.) what are numbers and their types in python?
5.) what is boolean in python?
6.) what is list and how to do indexing and slicing in list ?
7.) what is tuple and how to do indexing and slicing in tuple?
8.) what are sets in python?
9.) what is dictionary and nested dictionary in python?
10.) how to type cast in python?
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📚Course Contents 📚
⌚ (00:00) Intro
⌚ (00:27) Variables in Python
⌚ (05:46) Numbers and their types in Python
⌚ (10:18) Boolean in Python
⌚ (12:49) Strings in Python
⌚ (20:50) Lists in Python
⌚ (37:29) Tuples in Python
⌚ (41:42) Sets in Python
⌚ (50:14) Dictionary and Nested Dictionary in Python
⌚ (01:01:03) Object Type Casting in Python
📙Jupyter Notebook
https://github.com/tech45degree/pytho...
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