Pandas Full Course in 3.5 hours (2025) | Python for Data Science | Python for Data Analysis

In this video, we will learn what is Pandas Library and how to use Pandas Library Full Course in Python in 3.5 hours.
Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.

Timestamps
00:01:56 Introduction to Pandas Library What is Pandas, Install Pandas & Quick Demo with Series
00:07:58 Pandas Series
00:15:10 Pandas DataFrame
00:24:14 Pandas Head & Tail Functions
00:31:07 Load CSV and create DataFrame, Select multiple rows and columns from DataFrame
00:37:28 Add multiple rows and columns into DataFrame
00:44:10 Remove rows and columns from DataFrame
00:49:52 Date Range Function
00:58:09 Data Frame Truncate Function
01:05:40 Pandas Series string slice Function
01:15:38 Pandas ILoc Function
01:23:51 Date Frame Set Index Function
01:34:13 Loc vs ILoc
01:44:23 Series Apply Function
01:50:19 DataFrame Apply Function
01:58:14 Value Count & Count Functions
02:07:53 DataFrame - Sort Value and Sort Index Function
02:19:00 Series - Sort Value and Sort Index Function
02:24:08 DataFrame GroupBy Function
02:33:47 Pandas Transform Function
02:40:55 Concat Pandas Series
02:47:01 Concat Pandas DataFrames
02:56:31 Merge DataFrames
03:07:01 Join DataFrames and Series
03:19:56 Compare Two DataFrames and Series
03:27:32 Check if DataFrames are equal or not
03:33:37 Check if Series are equal or not
03:40:57 Aggregate for DataFrame
03:46:07 Unique Function

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