In this series, we cover the basics of using NumPy for basic data analysis. Some of the things that are covered are as follows: installing NumPy using the Anaconda Python distribution, creating NumPy arrays in a variety of ways, gathering information about large datasets such as the mean, median and standard deviation, as well as utilizing Jupyter Notebooks for exploration using NumPy. If you are looking to get started with NumPy then join us!
[SOUND] Welcome ladies and gentlemen.
Maybe you've heard of this term NumPy and
it's a little intriguing but
you don't know where to begin.
Perfectly fine, we've got expert in
Justin Dennison in house to help us
through all these tough questions like,
Justin what is a NumPy?
Is there a certification attached to it?
Why do I wanna learn NumPy?
>> So, those are all great questions,
And let's start with why
would I want to learn NumPy?
Well, if you're interested
in the data science realm or
you just want to speed up some numerical
calculations here in the scientific realm,
NumPy is a great tool, because it provides
a pythonic interface to some underlying C
libraries and Fortran libraries
that help speed up your code.
But what are we really gonna learn?
Well, we're gonna learn how to install,
and kind of my recommendations
on installation of NumPy.
But also how to construct arrays,
how to manipulate arrays,
how to visualize these arrays
through various means.
And how to use the Jupyter Notebook tool,
for these prototyping actions.
So you did ask, is there a certification?
There is not a certification for this,
but that does not diminish its value.
This is geared towards someone who
has some programming experience and
has a very particular use case for,
well, needing fast calculations,
numerical calculations in particular.
And, well, it's here to help you
power up your Python skills.
So if that seems like something you're
interested in, then please join us.