Setting Up the Environment – Geek Slack

Pandas Tutorial

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What is Pandas?

Getting Started with Pandas

Working with Pandas DataFrame

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Creating a DataFrame

Inspecting a DataFrame

Accessing and Indexing Data

Modifying a DataFrame

Handling Missing Data

Sorting and Filtering Data

Merging and Joining DataFrames

Working with Date and Time in Pandas

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Importing Required Libraries

Creating Date and Time Objects

Date and Time Operations

Time Series Data

Working with Time Zones

Working with Text Data in Pandas

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Accessing and Modifying Text Columns

Cleaning Text Data

Extracting Information Using Regular Expressions

Handling Missing Data in Text Columns

Pandas Tutorial

About Lesson

First, ensure you have the required libraries installed. We’ll primarily use Pandas and Matplotlib for plotting.

# Install the required libraries (if not installed already)
# pip install pandas matplotlib

import pandas as pd
import matplotlib.pyplot as plt

# Enable inline plotting for Jupyter Notebooks
%matplotlib inline