Python Pandas in One Hour | Crash Course for Beginners | You need to know this for ML, GenAI
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Timeline-
0:00 - Coming Up
0:32 - Need and Overview of Pandas
2:28 - Setup
3:12 - Educosys GenAI course
4:47 - import Pandas
5:09 - Data structure Series
6:40 - Intro to DataFrames | DataFrames Vs 2D Arrays
7:54 - Creation of DataFrames
9:15 - File Formats for Datasets
10:45 - Reading from CSV
12:30 - Accessing Data | Head(), Tail(), Sample()
15:47 - Details of DataFrames | Labels, Shape, Size, Info, Describe
20:13 - loc, iloc to Access Data
26:48 - at, iat for Single Value Access
30:20 - Accessing Columns, Shorthand and Dot Notation
32:22 - Filtering Data based on conditions
38:25 - Regular Expressions (Regex)
40:32 - Updating Data using loc
44:48 - iloc, at, iat for Updating Data
48:42 - Transform Data using apply()
51:47 - Lambda with apply()
54:56 - Transform or add new data using where()
57:04 - Insert and Drop Columns
1:02:07 - Delete and Rename Columns
1:04:44 - Merging DataFrames | inner, outer, left, right joins
1:11:33 - Concatenating DataFrames
1:14:30 - Handling Null Values | isna(), notna(), fillna(), dropna
1:26:11 - groupby()
1:27:32 - ThankYou!
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