Ultimate Guide to NumPy Arrays - VERY DETAILED TUTORIAL for beginners!

In this tutorial, we will learn about NumPy arrays in great detail! 🤓
NumPy is one of the most popular Python libraries and just as it sounds - it deals with numbers!
An array, on the other hand, is a collection of items of the same type and it's the data structure that NumPy uses.
This video will give you the tools and demos to understand how NumPy manages data and how it approaches memory consumption.

We will explore different functions and methods to:
⭐ create N-dimensional arrays
⭐ reshape arrays
⭐ sort arrays with different algorithms
⭐ filter and manipulate array values

The goal of this Ultimate Guide (and all the future Ultimate Guides I'll be filming for other libraries) - is to cover a HUGE part of the NumPy documentation. It's meant for all the folks who learn by example rather than by reading dry text and hopefully this will take your NumPy skills to an expert level! 🥼🥼🥼

If you don't feel like coding along with me, you can always clone my code from Wayscript!
It's the IDE I'm using in this video, and if you like what you see - you can sign up for free!! 😀
⭐ get complete tutorial code:
** Sorry code is unavailable, RIP Wayscript 😭😭😭**
⭐ what is Wayscript?

🛠️ Related Tutorials of Mine 🛠️
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⭐ PART 2 of NumPy The Ultimate Guide:
⭐ Convert Binary to Decimal Like a Pro:
⭐ Train Basic Neural Network with NumPy and Pandas:
⭐ Python Learning Roadmap:
⭐ Anaconda Guide for Beginners:

⏲️ TIME STAMPS ⏲️
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00:00 - intro
00:43 - install NumPy
01:02 - import NumPy
01:09 - create an array with NumPy arange
04:09 - create an array with NumPy array
04:27 - why arrays are better than lists
07:08 - NumPy data types
08:06 - 2 dimensional arrays
09:47 - shape attribute
10:38 - reshape arrays
12:33 - create empty arrays
14:14 - NumPy eye function
15:10 - change array values
18:41 - sort NumPy arrays
21:13 - difference between copy and view
23:50 - next NumPy tutorial and thank you for watching!

🐍 Install with Anaconda 🐍
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conda install -c anaconda numpy

🔗 Important Links 🔗
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⭐ NumPy Documentation:

💳 CREDITS 💳
__________________________________________

THANK YOU SO MUCH FOR WATCHING! 💗

[Sinke_]

I worked with numpy arrays for some time, i'm still not sure what's the difference between int and uint

[obumjohnokafor]

I love the fact that your style of teaching is simple and straight to the point. it's like so much information compressed in a little space. Thanks for your efforts in making the videos.

[neillatham]

You have a massive impact on people, you help them understand they can code, thank you for your contribution to helping people achieve goals they never thought they could.

[enpassant]

I'm taking a course called Python for Data Science Bootcamp. As we cover different topics I've been finding your content covering that topic. I end up taking so many notes from your content and it really helps my understanding. I love your teaching style, thank you.

[MrTravelerX]

Where were you when I needed this video four years ago? LOL
Thank you for your wonderful tutorials. They are extremely helpful. You know how to explain in a very clear way.

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[jinxianlai]

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[joaquimguanaes]

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[guyjones]

Thank you so much I love your work and it helps me a lot before my Python exam!

[antonelacolic]

Great explanation! Could you please dedicate a video for the bit, memory and hardware stuff(8:00 in this video)?

[emilyr]

This is great! Very straight forward and comprehensible for beginners. Thank you! Will definitely start learning from more of your vids

[HadesTimer]

This was great. Really love how you went through the examples. Can't wait to see the next video.

[LeftGuard]

Stonkingly good tutorial. So glad I happened across your channel.

[benjaminndih]

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[KARYEIJAFELEX]

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[jeuxmathinfo]

Very useful !!! Very clear explanation! 🏅🏅🏅Thank you so much !!! 🙏

[find_me]

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[alexandrohdez]

you are the best teacher 💪, hope you are doin great in your college classes 🌻☘️

[Alikhan-eebs]

Love your teaching i am computer science student

[dr]

Thank you, deary... I appreciate this work and knowledge you have given of yourself. Seems I have a long road ahead for what I want to accomplish with python, but I was hoping to see something on arrays involving, say, a live camera feed pixel array. My task at hand: Array manipulation and processing, for tracking stars in a telescope/camera view.