How to Set up VS Code for Data Science & AI

⏱️ Timestamps
- 00:00 Introduction & Overview
- 00:53 Introduction to VS Code
- 02:35 Setting up a Workspace
- 03:59 Installing Extensions
- 08:54 Styling VS Code
- 10:49 VS Code Settings
- 13:39 Running Jupyter Notebooks
- 14:22 Running Python code
- 22:05 Outro

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👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

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#data #ai #vscode #python

📌 Video Description
In this video, Dave shows us a new way to boost data science work with VS Code. It's different from the usual Jupyter Notebooks and Lab. He gives a full guide on making VS Code work for data science, aiming to make things faster and better. Dave shares his own setup tips, like themes, settings, and key extensions for Python, showing how VS Code has made his work better.

The tutorial starts with an overview of VS Code. It points out its perks like support for many languages, debugging tools, syntax colors, smart code help, and Git integration. Dave talks about how you can add more features with extensions from the marketplace. This part is great for beginners or those moving from other tools. It explains why VS Code is a top choice for data science.

Next, Dave gets into how to set up VS Code, from installing it to getting your workspace ready for data science. He shows how to add a project folder, save workspace settings, and pick themes and icons to make things look good and easy to use. Dave also talks about important extensions like the Python Extension Pack, IntelliCode, and Jupyter. These help with Python coding and let you use Jupyter Notebooks in VS Code. His step-by-step demo makes it simple to tailor VS Code for your projects.

Finally, the video looks at advanced features and workflows in VS Code for data science. Dave shows how to run Python code and Jupyter Notebooks well, using the interactive window for better coding. This method helps with quick testing, changing data, and making graphs, proving it's much better than old ways. The video ends with real examples of working with data and testing functions in VS Code. It highlights how the IDE makes every part of a data science project smoother.

[GurpreetKaur-wubd]

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

[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.

[viewview]

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.

[igortrifunovic]

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! 👏👏👏

[mo-ecwu]

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

[danijelsusakovic]

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

[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.

[tejalshanbhag]

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

[toya]

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

[realCleanK]

That interactive window piece is outstanding. THANK YOU! 🙏

[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 !

[RolandoLopezNieto]

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

[gkennedy_aiforsocialbenefit]

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

[sophial.]

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

[chadmace]

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

[victorl.mercado]

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

[ludwigstumpp]

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

[mariussame]

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

[mikew]

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!

[vieiradan]

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