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Python Programming
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Data Science
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Course Content
Introduction
Introduction
13:30
Installation IDE
06:57
Jupyter Notebook
04:50
Python Basics
Why Python?
05:52
Keywords and Identifiers
04:50
Comments
06:50
Variables and Data Types
17:30
Input and Output
03:50
Operators
10:46
Python Flow Control
if_elif_else
06:10
while loop
00:00
For Loop
09:00
Break and Continue
04:00
Data Structures
Lists
26:00
Tuples
07:00
Sets
09:40
Strings
04:00
Functions
Functions Introduction
07:41
Types of Functions
15:16
Functions Arguments
05:04
Recursive Functions
04:05
Lambda Functions
02:19
Modules
03:42
Packages
02:00
Debugger
03:05
Exception Handling
05:10
File IO
05:18
Numpy
Numpy Introduction
13:27
Numpy Basics
16:15
Numpy Operations
17:22
Pandas
Pandas Introduction
02:05
Pandas Series
02:47
Pandas Dataframe
05:31
Pandas Operations
27:00
Case Study
03:53
Matplotlib and Seaborn
Introduction
21:38
Univariate and Bivariate
28:06
Categorical and Time Series Data
18:14
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