Pandas for Data Science in 20 Minutes | Python Crash Course




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Want to get up to speed with Pandas FAST?

Tired of spending hours in data science courses?

I hear you!

I give you, Pandas in 20 minutes! In this crash course you’ll learn the 20% percent of Pandas you need to know to give you the 80% of results. You’ll learn everything you need to know to get up and running with your data science project super FAST.

In this video you’ll learn how to:
1. Create data frames from a range of sources
2. Update, visualise and preprocess data in data frames
3. Output your preprocessed data frames to csv, JSON and HTML

Github Repo for the Project: https://github.com/nicknochnack/Pandasin20Minutes

Want to learn more about it all:
Pandas Documentation: https://pandas.pydata.org/docs/

Oh, and don’t forget to connect with me!
LinkedIn: https://www.linkedin.com/in/nicholasr
Facebook: https://www.facebook.com/nickrenotte/
GitHub: https://github.com/nicknochnack

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

Music by Lakey Inspired
Chill Day – https://www.youtube.com/watch?v=3HjG1Y4QpVA

Source


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Comment List

  • Nicholas Renotte
    December 22, 2020

    i like this kind of teaching!
    the use of every functions are explained clearly.

    btw omg you type so fast!!!
    i just checked whether i turned to 1.5 speed XDD

  • Nicholas Renotte
    December 22, 2020

    thanks a lot man

  • Nicholas Renotte
    December 22, 2020

    Clear and concise

  • Nicholas Renotte
    December 22, 2020

    Very well organized content and clean explaination. Wish you could keep going Data Science series! Do you have any plan to make pandas for Intermediate course ?

  • Nicholas Renotte
    December 22, 2020

    Hi
    Nicholas Renotte Thankyou for the Informative Video. I require a suggestion from you on Pandas. I have 2 excel file once has 16 digit number and another file has the same number but it's 10 digits. how can I map 16 digit number in front of 10 digit number ?

  • Nicholas Renotte
    December 22, 2020

    Amazing. I got to know you from a webinar and it landed me to your linkedin and then finally here.

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