Data Processing with Pandas Course
1 hour, 21 minutes
Course description
For business applications, you want to position your programs to be flexible and eliminate hard-coded values. Most user-interfaces allow users to enter values and processes data on the backend. Good user interfaces check for valid values and return an error if exceptions are detected.
Syllabus
Ampersand
Video - 00:05:00
In this course, we are introduced to data processing with Pandas using the ampersand.
Storing output in variables
Video - 00:03:00
Ever wonder how to store output in variables? Now is your chance to find out!
Pandas functions
Video - 00:05:00
We explore some of the various functions that are used in data processing with Pandas.
Exception handling
Video - 00:03:00
What happens when you have an exception? Find out how to handle one in this video.
Additional functions in Pandas
Video - 00:09:00
We pick up additional functions in Pandas.
Dtypes
Video - 00:04:00
In this video, you will learn what a dtype is and how to use it in Pandas.
Finding indexes
Video - 00:05:00
Dartanion covers how to find indexes using Pandas in this video.
Indexes into variables
Video - 00:04:00
How can you turn an index into a variable in Pandas? We'll cover that in this video.
Finding records with iloc
Video - 00:06:00
Now we will learn how to find records using iloc in Pandas.
Writing functions in Pandas demo 1 introduction
Video - 00:03:00
Let the demos begin with this introduction to writing functions in Pandas.
Writing functions in Pandas demo 1
Video - 00:12:00
We get into our first demo on writing functions in Pandas.
Writing functions in Pandas demo 2 introduction
Video - 00:05:00
Dartanion introduces this second demo on writing functions in Pandas.
Writing functions in Pandas demo 2
Video - 00:13:00
This video explores all the steps needed to get Python to function as an ATM machine using data processing tools and Pandas.
Python wrapup
Video - 00:04:00
Dartanion wraps up our journey into the exciting world of Python.
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