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__?
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Mohit Sharma
Senior Software Development Engineer, DevOps
DevOps engineer with a strong Linux background and over a decade of experience designing, automating and managing mission critical infrastructure deployments by leveraging SRE principles and other DevOps processes. Expert in scripting using python with an emphasis on real-time, high speed data pipelines and distributed computing across networks.