Data science
![Eo Intro to Pandas <2
[rE
FLITE
nitialize
SINT H , 110.4], \
» 2:80, \
, 116.4],
, 32.0])
Create the pand Dataframe
DataFrame(rich founders, \
columns = ['Founder', ‘Company’, ‘Net Worth ($8)'])
Query the DataFr based on a condition
mega rich_founders df = rich_founders df[rich_founders df['Net Worth']
Company Net worth ($B)
~~
PSA
pS LA
: bigdataguru](https://contents.bebee.com/users/id/nwDnK64cf60e5b8062/post/Xq7Gf64d3988ec524c/YE97g.jpg)
Hi everyone 👋👋.I wanted to introduce Pandas to you in case it’s new to you. We will be working a lot with it in the future so a nice introduction will go a long way 🙌.I have asked a few of my friends ‼️ to help me introduce Pandas to you by showing up on the post 😂😂.Jokes aside, Pandas is a really powerful data analytics library in Python that I use almost everyday. It’s robust, fast, and great for prototyping data science problems 🧠..It quickly feels like you’re working with a database, so if you know SQL this won’t feel too different..Let me know who your favorite founder is from the 4 on the picture. I’ll keep mine a secret for now. 👍
.
👨💻#Pandas
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