Day 3 of #100daysofcode #Dataengineering

It was a rough day for me, words can't explain how difficult it was for me to pull through. Here are some of the challenges I encountered and how I pulled through out of them, don't be in a hurry to skip this page.  😆  You might want to read about my lesson. 

If you have been following my post you might have known that I'm currently taking Introduction to Data Engineering course with #DataCamp and  Database Engineer Professional with #Meta. I'm super happy because Coursera just approved my Financial Aid. This means I will be resuming my Meta course. 

Well being the fact that I have already signed up for the #DataCamp course I have to finish the course before resuming my #Meta course. As regards to this I faced a challenging task that I have not seen before. #pandas is one of the challenges I have never come across, I have to face it and started learning pandas 🐼.  Not until now I never new pandas is such a great library used for Analyzing, Cleaning, Exploring and manipulating data. 

Here was how I install pandas and started the learning path of pandas. 

I install pandas into my terminal by using the ; pip install pandas, I already have jupyter so I just proceed to my jupyter notbook and I import pandas as pd

I consumed all the details that I could find regarding pandas and it uses. 

On my next post I will give you the full gist on how my learning pandas journey is going. Thanks for reading.