Python Pandas Crash Course for Beginners in One Hour

A concise introduction to Python Pandas, covering essential skills for machine learning and generative AI. Perfect for beginners looking to quickly learn data manipulation with Pandas.

Python Pandas Crash Course for Beginners in One Hour
Keerti Purswani
54.6K views โ€ข Jan 25, 2025
Python Pandas Crash Course for Beginners in One Hour

About this video

If you appreciate the content and the hard work, Please ๐ฌ๐ฎ๐›๐ฌ๐œ๐ซ๐ข๐›๐ž - https://www.youtube.com/@KeertiPurswani

๐๐จ๐ญ๐ž๐ฌ ๐š๐ซ๐ž ๐š๐ฏ๐š๐ข๐ฅ๐š๐›๐ฅ๐ž ๐ก๐ž๐ซ๐ž ๐Ÿ๐จ๐ซ ๐…๐ซ๐ž๐ž - https://register.educosys.com/new-courses/32-free-machine-learning-course

๐‚๐ก๐ž๐œ๐ค๐จ๐ฎ๐ญ ๐๐ž๐ญ๐š๐ข๐ฅ๐ฌ ๐š๐ง๐ ๐ž๐ง๐ซ๐จ๐ฅ๐ฅ ๐Ÿ๐จ๐ซ ๐จ๐ฎ๐ซ ๐‹๐ˆ๐•๐„ ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐ก๐ž๐ซ๐ž-
https://www.educosys.com

๐„๐๐ฎ๐œ๐จ๐ฌ๐ฒ๐ฌ ๐ˆ๐ง๐ฌ๐ญ๐š๐ ๐ซ๐š๐ฆ - https://www.instagram.com/educosys
๐„๐๐ฎ๐œ๐จ๐ฌ๐ฒ๐ฌ ๐‹๐ข๐ง๐ค๐ž๐๐ˆ๐ง - https://www.linkedin.com/company/98837223

You can also connect with me on-
๐‹๐ข๐ง๐ค๐ž๐๐ˆ๐ง - https://www.linkedin.com/in/keertipurswani
๐ˆ๐ง๐ฌ๐ญ๐š๐ ๐ซ๐š๐ฆ (for personal, raw and real side of my life) - https://www.instagram.com/keerti.purswani

The code is available here - https://github.com/keertipurswani/MachineLearningTutorials/blob/main/Pandas/pandas_tutorial.ipynb

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!



#softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning

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54.6K

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Duration

01:29:40

Published

Jan 25, 2025

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