How to Set up VS Code for Data Science & AI

[@daveebbelaar]

👉🏻 2024 Update For this Video: kzbin.info/www/bejne/o6HOZYRrm8qKl9k

[@viewview6687]

As a data science student, who have a really difficult lecture drive deep to algorithm and mathematical magic, I have to type a hugeeee thank you for your video. Having a ton of knowledge but cannot even control the coding program is most of the research data science student ( including me). Thanks for your great videos.

[@igortrifunovic1798]

As a DS enthusiast and someone who is working with Python for many years now, I was never really able to settle with Jupiter Notebook and I am glad someone has covered this topic well! Great job Dave! 👏👏👏

[@DagStylez]

This is the best tutorial on setting up a data science VS Code environment I have ever seen. Your videos are very thorough and also to the point. Please keep sharing these. You have already improved my productivity x2 by explaining the Jupyter trick.

[@daveebbelaar]

Thanks Dagart 🙏🏻

[@GurpreetKaur-wu3bd]

You made VS Code so much easier for me to understand and use for my analysis. Thanks, you're a lifesaver!

[@toya9412]

Being able to send the output to a jupyter kernel is amazing. Thanks for sharing! I've been looking for something like this for a while

[@danijelsusakovic9912]

Just switched from Frontend Dev to Data Engineer, this was so useful, thank you a lot for it!

[@RolandoLopezNieto]

HUGE thanks for this video and specially for the setup of the jupyter interactive window.

[@jorgesantanderm]

Very cool feature the last one you showed. I saw a video of someone using VS with jupyter and saw that potential. Now I've confirmed it.

[@arillashsaravanan9216]

Wow this was exactly the video I was looking for. The settings and extensions made the coding way more fun and it is nice to look at the data with the notebook. Thank You.

[@IftesumZami]

I can't thank you enough brother!!! I'm learning Data Science and this video is a blessing for me

[@daveebbelaar]

Want to see how I use this setup to tackle a complete machine learning project? Watch this: kzbin.info/www/bejne/mXSyf3yap7JljKs

[@ludwigstumpp]

Thanks for showing that setting which allows the interactive running of python-files! Very valuable.

[@daveebbelaar]

That's awesome right!

[@qaboahene]

The part where you can get the code to run in the interactive is pretty neat! Solid point on the fact that you can write production code whiles testing in Jupyter. The is such a great option to get a python beginner to leave the Jupyter notebook coding mindset to writing production level code! I know I definitely would be using it more to help me build confidence in my python programming! Great shout Dave!

[@daveebbelaar]

Thanks Adu! Yea, it's a real game changer to start working like this

[@mo-ec6wu]

Incredible, the best guide on KZbin hands down. Subscribed!

[@chadmace3355]

Great tips! Yes the shft-enter and using VS Code with Jupiter is a great time saver.

[@mavreyn]

I have never seen the Jupyter Send before and I am trying it out and messing around / following along as I type this. I totally agree I think this will be a real game changer for me for testing and messing around and productivity in my coding journey. Thanks!!

[@daveebbelaar]

Yea it's awesome! 😁

[@riskwise99]

This guide is "top dollar"! Really useful, and very clear. This has helped me out significantly. Well done! +1sub

[@sophial.4488]

Thank you for this workflow! Clear explanation and I love the last part where you can run/dissect code chunk by chunk by sending python script to jupyter notebook interface. Game changer! Not going back to jupyter notebook now

[@victorl.mercado5838]

Excellent video. I was having a hard time migrating from PyCharm to VS Code. Your video cleared things up for me. Thanks.

[@lesmatheson6001]

Awesome tip to use "Shift-Enter" with the Jupyter back end option.

[@exshenanigan2333]

Dave, thanks for the video. Something I'd like to mention; the recorder you're using has stereo mics. So when you move your head around, your voice also pans left or right. I'd suggest making your voice mono so it always comes from the center.

[@patricioperez1985]

I second that. It makes it extra difficult to concentrate when using earphones.

[@TuyenPham-v9u]

Thanks for sharing such a powerful workflow on coding in python. Thats help me alot since for me as a beginner in data science.

[@naveenkumar5473]

that's a great feature to send python code section to interactive window. Thank you

[@patrickgans2]

This was awesome! As a beginner with Python I didn't realize this was possible!

[@popobleistift5000]

Awesome and straightforward introduction! Thank you very much!

[@Max-fq1bg]

great guide - something like this saves tons of trial and error - thank you for sharing

[@TreNcH98]

Broo the way you explain everything, loved it …

[@daveebbelaar]

You're welcome man!

[@GeoffDevitt]

Thank you, I've been looking to move from Jupyter Notebook into VS Code. Very helpful.

[@daveebbelaar]

Glad it was helpful!

[@maulikda]

Dave : Great video. Thanks for sharing this great stuff.. Moving to VS Code for all DS work.. earlier I was using VS code and Jupyter notebook for different kind of work which wasn't efficient. Thanks again !

[@realCleanK]

That interactive window piece is outstanding. THANK YOU! 🙏

[@tejalshanbhag5926]

Thanks Dave for this awesome video! Have it all set up. Looking forward to doing this series.

[@carylynjeru4040]

You are doing a great work, I am learning a lot from your videos

[@AbdUllahKhan-qx8ml]

I just found what I was looking for from the past 2 days.😄

[@vieiradan]

thanks, man!!! Appreciate it. Keep helping people! God bless you, dude!

[@fille.imgnry]

thanks for a great video. i didnt know about that interactive feature, it is awesome. 🙏🏻

[@daveebbelaar]

You're welcome! It's a game changer for your productivity 🔥

[@dirac9]

great vide. exactly what i needed to also transition to vsc. and good sound quality from your mic!

[@qaws2119]

Thank you! You solved my problems!

[@Buhassan5656]

A video that changed my coding, forever,,,,, 😳

[@FaZeTooTs]

This helped me a lot, thank you

[@borisn.1346]

Thanks for this! My sense has always been that notebooks don't lend themselves well to good scripting habits and clear thinking - you have just confirmed that hunch!

[@daveebbelaar]

Notebooks are great for experimentation and sharing code, but if you want to bring code into production you need a more structured way of writing code ;)

[@DouglasCRPaes]

Awesome video Thank you so much for sharing your knowledge

[@souravrout8383]

This is the most helpful video that i have come across when it comes to using vss for data science.

[@darshilkumar7816]

i am currently a learner in this field it's nice :)

[@lkhdd]

Thanks man! Do you consider making a V2 video on this?

[@mikew2883]

Great video! Had no idea you could setup this type of environment in VS Code. I was actually bummed when starting to learn Python I feel like I had to start from scratch by using PyCharm. Definitely going this path now I know it can be done. Thanks!

[@KalpeshPanchal]

You may be a good Data Scientist. Do set an easily viewable resolution/zoom level for the audience next time while demonstrating on screen. In Visual Studio Code, you can press "Ctrl and +" together to zoom in and "Ctrl and -" to zoom out. Thanks again for doing this video for beginners. 😃👍

[@daveebbelaar]

Thanks for the tips!

[@squirrel_plays_fof4318]

Super helpful in getting me started, thanks man

[@mariussame9357]

Even if i'm a window user your videos are so amazing and helpful thanks a lot 🙏

[@tat-lyubch]

Great video! I begun to learn Python from Jupiter Notebook, and what I've done in the first courses was exactly related to work with small appsto run on dashboards, plots, datasets (pandas of course, sql), then I switched to another more general course where we work in VSCode, so I even forgot/ pushed back wgat was done on the first steps, so yoy give me a vision howvto ties these all up. For me settings/figuring out configurations might be even more complicated than just to write functionality, but it's all connected.

[@caballerofelipe00]

Cool video! Thanks Just a suggestion: could you make fonts bigger, everything looks super small if you don't have a huge screen... (or maybe change the size of the screen while you record...)

[@3rd_Son]

This is a magic Thank you so much You just gained yourself another subscriber

[@KrutikPatel-u2m]

Cheers for the video and explanations. Was very helpful.

[@robinchriqui2407]

First Dave I would like to thank you for your work you deserve much more views and subscribers, I'm moving to VS code I used to work with Jupyter(alone) and Spyder but VS code is much more convenient it was very helpful.

[@daveebbelaar]

Thanks Robin, that really makes my day. And yea, VS Code is awesome for data science!

[@KristianL-cf6bh]

Thanks for this great tutorial ! i am new to the hole Gen Ai, ML, DNN and Python. It would been great to know whitch liberty you are using, and how you set up data, docs, models and so on folders, in the demo folder. Maybe you can explain this in text? or make an short add-on video for us newbees.

[@drudd75077]

I've transition from notebooks to .py using the method in this video. While overall I think vs code using the interactive window is better especially for large notebooks. However I have two items I don't like: 1. In jupter lab I can create a markdown cell and use # to make an outline of my notebook that I can navigate through my notebook. VS codes seems to generate the outline for you based on functions. I often don't use functions so navigating the document is worst to me. 2. The other con I will say is that if I run the top half of my script and run it I can tell where my program is within the script. Additionally when there's an error sometimes it take me a minute to orient myself using the error message to know where the error is within my script. The error message normally does tell me where the error is, but just scrolling to where the program stops within a notebook is more intuitive. However performance is so much better in a .py file especially when it gets large. Also I really like I don't need to create new cells to view things which does make my code so much cleaner. So overall it's way better, but I do wish there was a way to at least address the outline.

[@eugenmalatov5470]

Thanks, great content. I was struggling with the "send selection" option in the jupyter settings it has been renamed to "text editor: execute selection".

[@duke_adi]

Similar benefit of both code wise execution and file wise execution can be enjoyed in spyder 5 as well, although did not compare the two for finding which one is better for the fitness tracker project.

[@MarcMcRae]

Sorts out tool-spread where at times I found Jupyter (setup and foibles) annoying & useful, same for Pycharm (very professional but HEAVY) and this hits the middle ground of overall super-useful (for me). Everyone will have different levels/needs I guess. Explains a lot, really awesome share! Thank you so much.

[@lahirulowe4752]

Awesome video Dave! Always wanted to transition to VS code, but never did, but thats the first thing il be doing now. Also a suggestion, make a video on Docker for Data Science, and then Docker + VS code

[@daveebbelaar]

Thanks! And noted!

[@alejandromarin3069]

Really grateful for this, thanks man

[@ahmedal-saedi2899]

helped me alot as a beginner thnxs

[@lcfrod]

Nice explanation. Thanks, Dave.

[@aibeginnertutorials]

Awesome video! Have it all set up. Loving it. Thanks Dave

[@kyozecai]

wow i love this! def game changing for coding.

[@severtone263]

This was very helpful buddy. You earned a sub!

[@robertf57]

Would have been nice to have a copy of your starting folder to make it easier to follow along.

[@sanjeevjikamade]

Nice explanation brother. Very useful.

[@PLuna-zb4ol]

Awesome video, thank!

[@PeterMosier]

Thank you for this video. Well Done!

[@kelvin3y_]

The sound is really nice💯💯

[@mauriciojcYT]

Beautiful setup!

[@daveebbelaar]

Thank you!

[@andyr8833]

Gold content! Thank you

[@meandyouandhimoverthere]

great video. thank you!

[@pimmohs]

Bedankt voor de video. Heel behulpzaam!

[@santimm20]

this is really soo cool and the easiest video on this that i found

[@daveebbelaar]

Glad I could help!

[@namtang]

The important thing that you missed is setting up the Python interpreter and virtual environment in VSCode.

[@ultraallgod9423]

this really help me out thanks bro

[@huyhq_official1601]

amazing ! Thank you so muchhh

[@PeterPan-hs5tu]

Hi Dave, appreciated the vid chat last night. Amazing video tutorial, new skill learned. A dumb question to ask, where is the Demo folder we can access from? :)❤

[@daveebbelaar]

Hi Peter, it was a pleasure talking to you! What do you mean with Demo folder? (It's been a while since I've recorded this video)

[@PeterPan-hs5tu]

@@daveebbelaar Thank you for the reply. Oh yeah I was following along with your tutorial and I think you had a demo folder open, I was looking for it so I can do exactly what you do. But I just let it pass and went on with the actual bootcamp for the Tracking Barbell exercises you made. Can’t thank you enough for the step by step lesson. VS truly is a game changer, so thank you thank you thank you. Learn a ton 🍸! already a fan of the channel, Keep up the good work 🤟

[@ujjwalchetan4907]

very useful. Thanks

[@MarkCarpenter0025]

SO COOL! Thank you for this! this is going to help me so much and i dont feel like a ediot lol

[@andyn6053]

U can use the shiny extension for creating rapid webapps also

[@ItercomViews]

Installed extensions: - Azure Account - Code Runner - CodeSnap - Docker - Edit csv - IoT Device Cube - Jupyter - Jupyter Keymap - Material Icon Theme - Python Extension Pack - autoDocstring - IntelliCode - Path Intellisense - Python - Pylance - isort - Python Environment Manager - Python Indent - autoDocstring - (not installed) Django - (not installed) Jinja - Remote Development

[@bolajiadedasola6369]

Great work ❤

[@CherifRahal]

Thank you so much man, I just started learning data analysis and I needed this video as I don't like to work with jupyter, quick question which macbook you recommend ?

[@B1710-x5c]

Hi Dave ! nice video :) I would just add some comments: - vscode is not made by Microsoft, it's a fork from vscodium (MIT license) with some modification such as telemetry. There are only some minor differences, but I think it's important to don't give credits to Microsoft for this amazing IDE - Running selected code in a kernel is a great feature, but there is another very similar feature which works in an approximate same way: python cells. Defining cell (adding #%%) allows to run the complete cell with shift+enter and allow debugging, which is very convenient ! Additionally the code can be run as a python file or cell by cell, so it's also production ready

[@daveebbelaar]

Hey there, and thanks! I learned something ;)

[@brahyamalmonteruiz9984]

i just did i little research, and it's backwards, microsoft develops VScode then the VScodium team builds the binaries without the telemetry and some extra microsoft flavor, so... dave was right?

[@laurenshendrikx6363]

You got another subscriber man! Groeten uit Brabant ;)!

[@daveebbelaar]

Thanks Laurens!

[@natnaelstesfagiorgis3077]

this is great thanks

[@Whiz-lc5kc]

This video is awesome !!!

[@timothyokoth9592]

Very helpful. Fantastic!

[@thevadimb]

Thank you for sharing these tips!

[@daveebbelaar]

You're welcome!

[@Mryoungstar1994]

More videos like this please

[@juandiegomartinezcastro7942]

Fantastic video!

[@HuzaifaKhan-iy5qj]

Thanks buddy ^^

[@tobiasestebansalcedobenave6002]

Thank you !!

[@joshuapretorious]

Very cool. Thanks for the help

[@Megabeboo]

Now the only things that are missing for me are 1) execute entire code chunk (without having to declare them with #%%) and 2) move to next line/code chunk after executing. Quite a bummer that this still isn't implemented for python in VS Code 😢

[@PaulDavidRosero-Montalvo]

Thank you for this video.

[@zulucharlie5244]

Really great tutorial; excellent job, thank you.