Uploaded June 2022 | Updated September 2026, 59 minutes ago

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In this video we will learn how to create custom datasets from wikipedia using python and pandas. Rob Mulla, kaggle grandmaster, will walk through using pandas read_html function. It makes reading tables from html and websites really easy. With a little cleaning you can have a great unique dataset in just minutes!

Timeline:
00:00 Intro
00:31 HTML Tables
03:29 Pull from Wikipedia
04:20 Clean The Data
06:20 Plot the Data
08:22 Save as CSV

Follow me on twitch for live coding streams: twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: youtube.com/watch?v=u4_c2LDi4b8

* Youtube: youtube.com/@robmulla?sub_confirmation=1
* Discord: discord.gg/HZszek7DQc
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/Rob_Mulla
* Kaggle: kaggle.com/robikscube

#python #pandas #datascience #webscraping