Python for Data Science for Beginners 2023 | Beginner to Advance | Part-1 | Python with Projects

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? Detailed Syllabus of Python 30 Days Master Class- https://drive.google.com/file/d/1RcfsKH1E63e9W1J6LkE6MMCt4qtoNqEQ/view?usp=share_link
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Timestamps :
00:00 - 4:32 : Introduction to Python for Data Science
Day-1
4:32 : Basic of Python Programming
20:19 – 31:17 : Algorithms, Flow chart and Pseudocode
31:17 – 35:16 : What is an IDE?
35:16 – 45:24 : What is Anaconda Navigator?
45:24 – 01:00:47 : Writing the First Python Program, and how to use the comment in a code.
01:00:47 - 01:07:41 : Installation of Jupyter Notebook & Python- Anaconda
Day-2
01:07:41 - 01:14:00: Variables & Operators in Python
01:14:00 – 01:32:43 : What are variables? How to name Variables in Python and how to create multiple variables?
01:32:43 – 01:45:00 : Data types in Python
01:45:00- 02:08:05 : What are Arithmetic, Logical, Boolean & Comparison Operator?
Day-3
02:08:05 - 02:11:00 : In-Built Functions of Python
02:11:00 – 02:13:46 : Types of Functions in Python
02:13:46 – 02:20:40: Why do we need Python functions?
02:20:40 – 02:24:18 : abs() function
02:24:18 - 02:42:31 : Bin(), complex(), python bytes function, char() function
02:42:31 – 03:09:45 : float(), int(), str(),help(),input() function
Day-4
03:09:45 - 03:15:21: Control Flow Statements of Python
03:15:21 – 03:23:14 : What is a control flow statement? & its types
03:23:14 – 03:43:00 : If statement with examples
03:43:00 – 03:48:58 : if-else statement with examples
03:48:58 – 04:12:02 – if-elif-else statement with examples
Day-5
04:12:02 : Concepts of Loops in Python
4:15:01 –4:20:43: what are in loops in Python?
4:21:22 – 4:33:46 : while loop along with examples
4:33:48 – 4:39:00 : Using else statement in the while loop
4:39:48 – 4:45:50 : For loop with examples
4:45:51 – 4:52:00 : Looping through a string
Day-6
05:16:22 : User-Defined Functions in Python
5:21:57 – 5:25:11 : What are user-defined functions in Python? & its advantages
5:25:11 – 6:09:00 : Creating & Calling user-defined functions with examples
Day-7
06:13:37 : Introduction to Strings in Python
6:16:30 – 6:21:00 :What are strings, and how to create it?
6:21:16 - 6:23:01 : Indexing in python
6:35:17 – 6:44:52 : Slicing in python
6:44:53 – 6:48:03 : Finding the length of a string
6:48:04 - 6:58:08 : Upper(), lower(), replace() method
6:58:09 – 7:00:00 : find() method
Day-8
07:13:55 : Concept of List in Python
7:19:33 – 7:22:03 what are list in python?
7:22:04 – Creating a list in python, allow duplicates & data types
7:30:54 – 7:38:07 list length, access items
7:38:08 – 7:59:51 : Slicing of list, change items
7:59:51 – multiplying numbers in a list
Day-9
08:08:16 : Introduction to Tuples in Python
8:10:27 – 8:13:42 : What are tuples in python?
8:14:12 – 8:17:50 : Creating tuples in python, mixed datatypes, empty tuple
8:17:52 – 8:25:00 : Nested Tuples, Creating a tuple with one item
8:25:47 – 8:38:21 : Indexing & Slicing in tuple: Converting list into tuple
8:38:22 – 8:44:30 : loop in tuple
Day-10
08:55:55 : Concept of Dictionary in Python
8:56:05 : What is a dictionary?
Day-11
09:48:37 : Introduction to Sets in Python
10:52:15 : Stay tuned: Python for Data Science Part-2 | Thank You and Keep Coding!

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