NumPy Tutorial : Numpy Full Course

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NumPy is an amazing scientific computing library that is used by numerous other Python Data Science libraries. NumPy contains many mathematical, array and string functions that are extremely useful. Along with all the basic math functions you'll also find them for Linear Algebra, Statistics, Simulation, etc.

I cover most everything you'll learn by reading the API here. Next I'll cover SciPy, Pandas, StatsModels, MatPlotLib, Seaborn, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more. CLICK THE NOTIFICATION BELL

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The most in demand skills in the world right now are in Data Science & Machine Learning! I will teach you everything imaginable about Data Science & Machine Learning including all the math, libraries, algorithms so that rather then playing with it on an elementary level you will Master it! The journey will be hard, but those willing to put in the time and brain power will be rewarded in the end.

Here is a Table of Contents that will allow you to jump around in the video and learn what ever you are interested in.

TABLE OF CONTENTS

00:00 Intro
01:04 Creating Arrays
05:37 Data Types
07:10 Slicing & Indexing
12:49 Reshaping Arrays
14:23 Stacking & Splitting
18:36 Copying Arrays
20:55 Universal Math
29:43 Reading From Files
32:50 Statistics Functions
36:51 Creating Formulas
40:50 Trigonometry Functions
43:23 Linear Algebra
57:37 Saving & Loading NumPy Objects
59:25 Loading Libraries in Anaconda
1:00:13 Financial Functions
1:07:15 Comparison Functions

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THANK YOU TO MY PATREON SUPPORTERS LIKE :

[shawnroy]

DAMN I just read the description: "Next I'll cover SciPy, Pandas, StatsModels, MatPlotLib, Seaborn, Plotly, Scikit-learn, TensorFlow, PyTorch, Keras, Scrapy, Linear Algebra, Calculus and more."

When I was first learning this stuff a few years back it was so hard to find a complete source of information. This series will be so valuable for so many students. Going to share this with all my friends!

[ThirumaleshHS]

I see your tutorial series would eventually become python essential reference, similar to that of David Beazley book 😊 thanks Derek

[wilbertraymundrayos]

Oh wow here we go! One of the topics I've been waiting for.

[jg]

Great tutorial. For people new to anaconda, I just wanted to add that in general you do not want to install new packages into your base conda environment, but instead you should create and activate a separate environment for your projects (as this prevents dependency and version conflicts). Conda can also be used to install packages, and I'd recommend using conda instead of pip if the package is available with conda. Google "conda cheat sheet" to see how to manage environments and install packages with conda from the anaconda terminal (or regular terminal, after you do `source anaconda3/bin/activate`).

Basically, conda is like virtualenv and pip combined and improved, with a focus on data science

[Lumary]

I'm so happy you cover ML/Python topics now, this will be very helpful for my bachelor thesis. 😊

[ArunKumar-rnww]

You're better than my university professors Derek!
Thanks for taking lot of efforts and sharing knowledge ☺️

[AmanGarg]

Thank you Derek for your contributions to the community.

[poroshatyazdanbakhshghahya]

One of the best tutorials on Numpy! Thank you for the brief and concise lecture. Looking forward to seeing more videos from you.

[AnindyaKhan]

I have been waiting for a series on this from @Derek Banas for more than a year now as he is literally the best introductory teacher. Would be great if we can get something on Linear Algebra and Calculus as well

[shawnroy]

Thank you, Derek! When I become a millionaire quant one day I will buy you a lambo <3

[JitheshChandrasekharan]

Awesome tutorial! Looking forward to your Linear Algebra series too! It would be great if you can bring some practical usage of linear algebra in real-world cases. Most tutorials in internet targets on how to use python for doing Linear Algebra operations, instead of motivating the student using a practical example of Linear Algebra !!! (I just want to see something different when it comes to Linear Algebra tutorial from you! Always looking forward to seeing your new posts in youtube and really a fan of yours !!! (:0)

[pollafattah]

Always fun to watch you explain in plain easy way

[parameshnalla]

Hi Derek, I always find your videos are helpful to learn any concept. Recently started working on Data science, now these videos are going to boost my learning to next level.

[masoud]

great tutorial on NumPy. absolutely helpful and understandable. Thanks Derek

[arpitagec]

Awesome!👌 Pls make a series in web scraping using BeautifulSoup and Scrapy.
Looking forward for all ML related stuffs.👍

[beefordhala]

This was an amazing tutorial for Numpy library, I am really thankful to you, I learnt lots of things.Thanks for teaching.This is the actual best course about Numpy.

[shashanktiwari]

Hey Derek, as always great video.

Just wanted to point out, for copying the array, .view() didnt work for me. I had to use .copy().

[firstname]

this series on statistics, anaconda and numpy could easily have been sold on udemy for $29
but you have made it free -- you're either crazy or awesome

[badribaskaran]

Hi Derek, I’m back at your videos after I learnt Perl from one of your other videos and your videos are fantastic as usual.
I need some advice: as a beginner to machine learning trying to move in the direction of deep learning/image processing, which videos in this tutorial would be vital and which ones can I potentially skip?

[digigoliath]

Derek Banas, you are my superhero!! SMASHING the LIKE Button!!!!