Intro to Pandas

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Pandas provides high-performance, easy-to-use data structures and data analysis tools for the Python programming language. To get started with pandas, you will need to get comfortable with its two workhorse data structures: Series and DataFrame.

We use import pandas as pd so that we wont have to type pandas everytime we want to use the module, instead we can use pd.

A gentle reminder to use tab-completion(<TAB>) and ? to explore and access the documentation for anything that you are looking for.

Example:

In [1]: pd.<TAB>

or

In [2]: pd.__version__?
Mohit Sharma
Mohit Sharma
Senior Infrastructure Engineer

DevOps Engineer with 10+ years of experience automating and scaling mission-critical systems. Proven expertise in Kubernetes, AWS, and Linux, with a strong focus on reducing operational complexity, enhancing developer experience, and fostering cross-functional collaboration. A track record of driving infrastructure automation, mentoring teams, and implementing best practices to deliver resilient, highly available systems.