Introduction to Pandas Course

One of the essential tools of Python is the Pandas library, which is defined and demonstrated in this course.

1 hour, 14 minutes

Course description

Pandas is a user-friendly Python library designed for data manipulation and analysis tasks, making it a useful tool for anyone working with data. With Pandas, you can easily load, clean, transform, and visualize large datasets using its two main data structures: series and DataFrames.

Syllabus

Introduction to Pandas

Video - 00:07:00
In this video, Dartanion will explain Pandas (no, not those pandas!) in Python.
Locating files

Video - 00:06:00
Need to find a file in Python? Let's explore how to do just that.
Previews

Video - 00:02:00
What if you'd like a preview before viewing everything? We'll show you how.
Sorting data

Video - 00:04:00
This video will describe how to sort data in Python.
Sorting data demo

Video - 00:11:00
Building on the previous video, Dartanion demos how to sort your data.
Creating DataFrames with lists of dictionaries

Video - 00:06:00
Now we'll discuss creating DataFrames with lists of dictionaries.
Creating DataFrames with dictionaries of lists

Video - 00:03:00
Let's now cover how to create DataFrames with dictionaries of lists.
Flexibility with lists of dictionaries

Video - 00:04:00
What is one of the benefits of lists of dictionaries? Flexibility. Find out how in this video.
Working with DataFrames

Video - 00:06:00
Now that we've created a DataFrame, let's do some work in one.
Adding variables

Video - 00:05:00
In this video, Dartanion will discuss adding variables.
Statistical summaries

Video - 00:02:00
Statistical summaries are an important part of using Pandas in Python that we'll cover in this video.
DataFrames practice step 1

Video - 00:04:00
This video is step 1 in our practice demo of Pandas DataFrames.
DataFrames practice step 2

Video - 00:02:00
The second step in our Pandas DataFrames practice demo.
DataFrames practice step 3

Video - 00:09:00
Step three in our Pandas DataFrames practice demo.
DataFrames practice step 4

Video - 00:02:00
We finish up our Pandas DataFrames practice demo with step 4.

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