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NumPy vs Pandas

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Data analysis using Python; ibm.biz/Using_...
Beginner's guide to python; ibm.biz/Python...
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other. If so, you're not wrong, but there's more to these two Python-based data analytics packages than that. In this video, Martin Keen explains their relative strengths and ends by offering recommendations on the best approach for adopting one framework versus another.
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#AI #Software #Dev #lightboard #IBM #MartinKeen #Numpy #Pandas #python

Опубликовано:

23 авг 2024

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Комментарии : 88

@jaroslavradmir1987 Год назад

This is undoubtedly the most entertaining and educational video I've encountered on such a complex subject. It cleverly incorporates dad jokes and Pink Floyd references within the initial 60 seconds. I'm absolutely enamoured by it!

@jay_wright_thats_right 8 месяцев назад

I don't think a comparison video is a complex subject. LOL

@NewsChannel-y4g 2 месяца назад

@@jay_wright_thats_right if it talks like a duck then it probably quacks in termination mode

@ammarabdelaal150 18 дней назад

This video is concise, clear, to the point, enjoyable, eye-relaxing, organized and fun!! Fabulous colour-theme.. and a warm feeling, especially at the end. Thank you a lot!

@erickeft Год назад

Thanks for giving us this kind of content, I really love to watch these videos from IBM

@jamesharrison149 Год назад

Came for the python chat, stayed for the Pink Floyd references

@tonymaloney7096 9 месяцев назад

What's far more amazing than this guys insight into coding languages and concepts, is his seamless ability to write things down on a "window screen" backwards so proficiently. Imagine the pure calligraphy of his "forwards" handwriting

@IBMTechnology 9 месяцев назад

See ibm.biz/write-backwards

@tyronefrielinghaus3467 Год назад

This particular IBM presenter is the best!!!

@daftsteez Год назад

Didnt expect a homebrew youtuber to pop up in an IBM vid in my feed 😂

@alkadoHs Год назад

I like this teacher as he explain things very clearly

@rudiklein Год назад

I wouldn't mind watching a similar video on seaborn vs matplotlib vs plotly. I find it difficult to choose one of these libraries as my primary goto library. Using all of them is complicated because the syntax and use varies.

@jonnysolaris Год назад

Loving the Pink Floyd references, Comfortably NumPy, and Any Colour You Like😁

@petermilenkovic3058 Год назад

I was waiting for a home brew recipe 😂

@tomthedatanerd Месяц назад

This lesson was a piece of art!

@Ballbagsaggins Год назад

RU-vid pretty much has me pegged. The homebrew challenge guy chatting about data science libraries.😉

@akhilbodi1470 Год назад

Thank You And We Need More Like This!

@karengomez3143 Год назад

Not very much python libraries related, but I was already thinking Jeff’s videos had R. References, especially Dogs of war (even though that’s from Gilmore I believe…) but now I’m sure there’s Pink Floyd references everywhere :)

@Musicman9492 Год назад

Why is this pillar of Homebrew RU-vid being served to me in a video outlining data analysis via downstream Python programs?

@wpouser Год назад

The background of Pandas just change, now is Apache Arrow, but good content by the way.

@boredgamesph4872 6 месяцев назад

7,8,9 have special relationship. In positive integers they are the only have the pattern of prime,cubed,squared. P,P+1=N³,P+2=M²

@raghavsharma4398 Год назад

Sir, could you please make a video on understanding YOLO architecture and its various versions or start a playlist on deep learning

@sanuyadav-ys3fb Год назад

amazing explanation! Pls continue to bring such more videos

@davidntumba2447 10 месяцев назад

Excellent delivery

@change2change Год назад

Sir, how did you write on the screen? How have you positioned yourself while writing on the screen? Seems like you are a leftie but writing direction appears to be right to left ! Great ! Learned a lot. Asked out a curiosity. 😊😊

@LoveYourFamily2 Год назад

My guess is, he is probably writing on a huge glass, and the camera is on the other side of the glass. And before uploading, the video is "mirrored" in an editor.

@Adrian-jn9ov Год назад

@@LoveYourFamily2 that is correct. It was explained by this channel sometime ago

@IBMTechnology Год назад

See ibm.biz/write-backwards

@renoob879 Год назад

Me, running straight to my Jupyter Notebook to find out why 789: 🏃🏃🏃

@alizamani1196 2 месяца назад

Learned so much from your video, thank you for that There is one problem though; Please do smth about the writing on the screen, I can't say what's the issue but it's illegible

@khalidelgazzar 8 месяцев назад

Very good explanation 😊 thank you!

@peace_truth1471 Год назад

Amazing explanation. I’ve been crafting my own peogramming « tools », ignoring the libraries available, but that’s definitely the wrong approach as it makes developing a lot more time consuming :/ I’ll learn numpy and then move to pandas if needed :)

@esclavodeluna8000 Год назад

Did you do this in production? Or just learning

@normaltaro Год назад

1:00 PYTNOV

@keemsmiledentistry4376 Год назад

Start with numpy! look for the features you are most likely to need and if that answer leads to you to panda………….

@HBgv5830 Год назад

Well done! Thanks a lot.

@davidring5071 4 месяца назад

Thank you

@muhammadyousifjamali3491 Год назад

Good explanation But I want to ask from those who are already related to tech specially ai that which languages are better for an ai developer/researcher instead of python which languages we ought to learn Java C++ R I know python is fundamental and essential Thanks in advance

@stopdog10 Год назад

Tensorflow (A famous AI (machine learning) framework) uses python for the users to input their data and parameters, but the backend or where the real work is done is written in C++ as it is a faster, more optimized language. So if you were to build your own framework, which I wouldn't recommend, I would use C or C++. However if you are just going to work with the amazing and already available tools then python is your way to go.

@alkadoHs Год назад

Actually it's R , though Java and C++ is best too but it's much harder to use them.

@Tri-Technology Год назад

The programing language Julia is quite interesting. It's faster than python, but you can also call python scripts/functions with a package called PyCall. The question about programing languages is always what you wanna do and who is working with you. Most people know Python, so it's the easiest consensus. Are you working alone, but you want to optimize speed on a very complex level C++ is your way to go. Most of the times Python is just enough so I would focus on improving your skills there and if you need more optimization go for something like C++/C# and for analysists R & Julia could be the best ones but Julia did not have it's break through yet.

@aliyananwar7633 Год назад

I am coding a trading bot using numpy custom built function for moving average exponential moving average and min max sliding for float arrays. 😊 numpy is faster

@ati43888 4 месяца назад

thanks

@hedonicas Год назад

Wish "Pandas 2.0 vs Polars" were here.

@maheshm1225 Год назад

There are many but understanding simple is much beter unless u are very egur to

@IBMTechnology Год назад

Thank you for the suggestion! We'll consider it.

@Rapha_Carpio 8 месяцев назад

I feel making a comparassion between NumPy vs. Pandas is wrong, because Pandas is based on NumPy, and it's more to manage data and different kind of documents, meanwhile NumPy it's more mathematical stuff, in a regular day as a data analyst or data science you can use both easily in the same project.

@simon_bingham 3 месяца назад

Thankyou

@user-uv6yi6rh5s Месяц назад

how are you writing backwards?

@philipberthiaume2314 Год назад

I'm a daily user of Pandas, but do use Numpy expressly for subroutines to manipulate data to a format I need, as necessary. I find it rare that I will use Numpy on its own.

@smanzoli Год назад

I love Numpy and Pandas. And WOW, for some time we have CUPY (it´s Numpy for GPU, much faster) and POLARS, which is also much faster than Pandas. Try these out!!!

@Syed-A-Rizvi 3 месяца назад

can anyone tell me how is this video made?

@enriquebruzual1702 10 месяцев назад

What do you mean vs, panda depends on Numpy

@anirbanc88 Год назад

please do a video on sklearn, tensorflow, pytorch please!!!!!!!

@tineocedric 7 месяцев назад

what is this 789 reference?

@kmind71 Год назад

Data science is great and all but have you ever considered home brewing? ;)

@karannchew2534 Год назад

Pronounced as PythON or PythUN?

@emdo8437 Год назад

This is way too in touch to be produced by a company

@prashanthb6521 Год назад

I abandoned PANDAS because it was slow. I wrote my own task specific functions from scratch. But with cython as you have said here, I might have second look.