John Okeno

9 months ago ·

Post by John
>
Data science

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

 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. 👍

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👨‍💻#Pandas

#SINT #Python #nitialize #SQL #Intro
Science and Technology
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