Pandas (Python)

IMG Credits- Google Images

Pandas is the one of the most popular open sourced python library ,which runs on top of Numpy and is widely used for data science & data analysis. It provides highly optimized performance with back-end source code is written in Python. It can be used to perform data manipulation & analysis.

( All the information given is stated by assuming that user is working on Google Colab on which Pandas comes pre-installed)

Why is it called PANDAS?

IMG Credits- iPanda

Pandas stands for “Python Data Analysis Library” , the name is derived from the term “panel data”, an econometrics term for multidimensional structured data sets.

Advantages

• Excellent data representation.
• An extensive set of features.
• Less code & more work done.
• Handling missing data
• Merging Datasets.

and many more…

Applications

• Recommendation Systems
• Natural Language Processing
• Stock Prediction (Good news for all Harshad Mehta fans out there 😂😂)
• Statistics

etc.

Importing Pandas

Input- import pandas as pd

and you’re done.

Now, GET SET CODE!

Happy Learning Folks!

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