Видео

Thank you very much for this tutorial.

informative

tanks

Quick and easy. Thank you!

Why not use CoCalc instead?

Thanks a lot for this quick tutorial. Was struggling with running CUDA on VSCode. 😇😊

I love this extension, but I noticed that if you have a google docs document, and set the background color of the document to say, a tan, color, it also darkens the background color of the document, turning it into a dark brown. Is it possible to make this extension not darken the background color of the document? Regardless, this extension has served me well for years.

/you make things so simple to understand

Thankyou so much. That was very helpful

How would I write this I keep getting an error my_number=5 for i in range(my_number,my_number+10): if i>=3: print[(]((i,2*i+1)[)]

sory but i cannot see the id... in my case i just see the url to be shared as a link...

Very helpful! Thanks!!

One thing to consider and why shiny for R is imho most powerful. It allows for asynchronous programming/subprocessing, which Python dash or streamlit do not. At least streamlit not compatible with asyncio. not that I know of. Not that easy like shiny + CallR. Might be wrong, but on top R vectorized operations do not need any additional library language like Pandas / Numpy which in fact is not native Python language. You need to apply vectorize in numpy to make Python work vectorized. On the contrary, vectorization is just R DNA and all goes so smooth with Shiny in R. Might be wrong…

/bin/bash: line 1: down: command not found

In my environment, I want some of my packages to not update automatically, how can I do that

Thanks man!! this video is a lifesaver!

This was very helpful. Thank you!

enter environment. do a git clone. downloads. nothing shows up in the current directory. where is it?

___

I'm not biggest math head bed its getting to me thank u

Great introduction, thanks!

Thank u 🤍

Matplotlib for papers, plotly for current calculations (because there are some nice interactive fitchures thar don't have Mpl, e. g. interactive cursor ). They are simple and useful.

I have a question that i developed while coding today. Is it possible to put set variable into an ascii art? If yes how?

Advanced data visualization techniques with python ruclips.net/video/FAAp34UHEYI/видео.html

unfortunately not enough to get me started.

sanks sir I apresiate you very mush

Thank you 😊

way too many links in the description, non of which for the mini conda. very bad

Thanks for the good information. :) Is there any way to move the folder? Copying the image folder takes too long

Access denied with the following error: Cannot retrieve the public link of the file, you may need to change the permission to ' Anyone with the link's, or have had many accesses How to resolve this?

For sure after waching your video and reviewing those web sites I may say... Plotly will be my boy.

Everything I needed and more 🙏🏽

I love you

Should I Star with the front-end or backend course? Or it doesn not matter? And should I take both? Or just 1 is good?

You are the best

15/7 = 2.1428... 15%7 = 1 WTF*

Hi. Thank so much for the video. I just have a doubt...how can i display de web app if i am in Jupyter Notebook? Thank you again for your response.

Can you make the example how to upload file to GDrive using colab. But we can change name and convert to zip or another extension file.

Hi Prof! Thank you for yet another insightful video, really appreciate you sharing your knowledge! This might be an amateur question but if possible please direct me. I want to ask more of a statistics-based question in Data Science... when building models and dealing with different data types and outputs I think it will be extremely valuable to go through feature selection methods in Python, using different Encoders as well as the statistical test that is used for each type. I have found this quite difficult to build intuition with and would appreciate any insights you may have. Thank you once again!

altair and bokeh new for me... interesting... precisely explained.

Thank you!

Do you think this cert worth to someone with previous experience in development?

DISLIKE Please remove that chezy background music.. It is very distracting :(

it is really helpful but now we cant insted of we can directly mount the whole drive but thank you

Great video! I noticed that courses 4 onwards of both certs don't have any reviews. Does this mean these aren't available yet? Or will they open up if I buy the course/coursera subscription?

Thank you very much for this one. I'm looking forward to a video in which you demonstrate how to make the most of it.

If possible would you give a short tutorial on shap or lime for deep learning models?

Shinny+Python is super fast, even faster than streamlit. Thanks