Hello and welcome to the introduction to this lecture and this lecture we're going to briefly discuss
what pandas is how to get it installed onto your computer and what to expect throughout this section
of the course.
Pandas is an open source library that's built on top of empire which is why we learned but PI first
.
Panthers allows for fast analysis and data cleaning and preparation.
A lot of people like to call pandas pythons version of Excel or if you're familiar with our Python's
version of our data frames fun and pandas really excels in performance and productivity for the user
.
And this also has built in data visualization features which we'll learn about once he gets a python
for data visualization Pandurs can also work with data from a wide variety of sources.
You'll need to install Pandurs by going to your command line or terminal and then use either Konda install
pandas.
If you have the Anaconda distribution of Python or if you installed Python through a different method
you can also use Pipp install pandas.
Either one should work for you.
As far as what to expect throughout this section of course we'll first discuss series and how they interact
with pandas.
Then we'll build on top of that to go to data frames with pandas.
Then we'll discuss some particular topics such as work of missing data how to use GROUP BY of pandas
merging joining in cannonading data frames of pandas various pandas operations and then how to get data
in and out of pandas for a wide variety of forms such as CSB files Excel files sequel and more.
All right let's go ahead and get started with pandas.
Thanks and I'll see you at the next lecture.