Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

A Comprehensive Practical Guide to Python Pandas_ .png

There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and efficiently.

Mastering Data Analysis with Python Pandas

# Splitting

In some cases, strings contain several pieces of information so we might need to split a string in order to access one piece of information.

In `staff`, the `name` column contains both the first and last names. We can easily extract the first or last names from the `name` column by using the `split` function.

The Pandas `split` function is available under the `str` accessor. It splits a string at the position of the given character and then returns a list of all parts.

Let’s look at a simple example first. The following code snippet splits the `name` column at the space character.

 Learn how to split a string and combine multiple strings into a single one.

Course Introduction

Pandas Data Structures

Creating a Data Frame

Exploring a Data Frame

Filtering a Data Frame

String Manipulation with Pandas

Date Manipulation with Pandas

Handling Missing Values with Pandas

Data Analysis with Pandas

Data Visualization with Pandas

Combining DataFrames with Pandas

Data Visualization with Seaborn for Walmart Sales Projection

Final Challenge and Quiz

Splitting and Combining Strings

Splitting