Data Science Track - Guest Lecture
Hey everyone! 👋
Greetings from *Codecademy - JU Chapter!*
Through this event, you will be familiarised with the most famous python libraries used in data science Numpy and Pandas 🧑💻
In this session we will be covering :
1. What is Numpy
2. What is Pandas
3. Utility in Data Science
4. Code along on some Codecademy learning paths
Guest Speaker: Jasleen Sondhi
- Masters in Data Science at Christ University
- Freelancer at Scaler Academy
- Relevel by Unacademy
- Connect with the Speaker over here: https://linktr.ee/jasleen101010
Remember when the event kicks off:
⌚️6:00 PM - 15th February 2022
Cheatsheets: https://drive.google.com/drive/folders/1ol82jkOaVZS7LMKefuDEHXi_IEwg81Cv?usp=sharing
Pandas Documentation: https://pandas.pydata.org/docs/
Pandas Docs (pdf): https://pandas.pydata.org/docs/pandas.pdf
Code Example:
import pandas as pd
df1 = pd.DataFrame({
'Product ID': [1, 2, 3, 4],
# add Product Name and Color here
})
print(df1)
Assignment: Use the above example to create a DataFrame that should look like the one below
Product ID Product Name Color
1 t-shirt blue
2 t-shirt green
3 skirt red
4 skirt black
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