Python for Data Science | Part 2 | A Beginner's Guide to Control Flow and Functions in Python
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 conditional statements, if elif and else conditions in python, furthermore we explore for loops, while loops, methods, functions in python such as map function in python, filter in python, lambda in python and range, min max and enumeration in python with practical implementation.
But that's not all! We'll also demystify important concepts in python breaking them down step by step. Whether you're confused about these Python control flow and functions 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 control flow and functions, 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 conditional statements in python?
2.) What are for loops and while loops in python?
3.) What are methods and what functions in python?
4.) what is map function in python?
5.) what is filter function in python?
6.) what is lambda and how to use it in python ?
7.) what is enumerate function in python?
8.) how to take input from user in python?
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📚Course Contents 📚
⌚ (00:00) Intro
⌚ (01:01) conditional statements (if | elif | else) in Python
⌚ (15:06) for loops In Python
⌚ (29:02) while loops in Python
⌚ (47:15) methods in Python
⌚ (54:28) functions in Python
⌚ (1:03:20) map function in Python
⌚ (1:07:10) filter function in Python
⌚ (1:12:47) lambda function in Python
⌚ (1:18:19) range in Python
⌚ (1:21:41) enumerate in Python
⌚ (01:25:16) min max in Python
⌚ (01:25:51) random in Python
⌚ (01:27:04) input in Python
📙Jupyter Notebook
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