How to Get Ahead of 99% of Data Scientists with Streamlit (Tips from Tyler Richards)

Tyler is a Senior Data Scientist at Snowflake Inc. working on the Streamlit Open Source team.

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#datascience #machinelearning #dataprofessor

[DataProfessor]

🎁 Book Giveaway - Tyler is giving away 5 copies to his recent book, Streamlit for Data Science - Second Edition
For a chance to win a copy, write in the Comment section your answer to: What is your favorite key takeaways from this video and why?
✨ 5 Lucky Winners will be selected in about a week and results will be posted in the Community Posts of this YouTube channel.

[tylerjrichards_ds]

Thanks for having me on!! Was so fun to chat as always

[Mano-dwtu]

What a great conversation!! My takeaways:
- Don't do what everyone else does and expect to stand out. Find your own way to do it (and Tyler did it by building a Sreamlit app and using as part of his portfolio).
- Build and ask for feedback - Best way to learn and become good at something while showing your skills.
- Share your knowledge (like both of you did).

[heisenbergwhite]

This video was super interesting. Here are my key takeaways:
1. Importance of having a good github portfolio that showcases projects.
2. How streamlit integrates with snowflake to solve different types of problems.
3. Project driven learning, especially in topics we are fond of, is helpful.
4. Pair programming and mentorship are good ways to learn and grow.
5. Streamlit is super easy to make apps with and deploy them, and make good demos instead of just code files.

[sitrakaforler]

I wanna reach such level !!!!

Thank you for this great interview :D

[bradk]

Favourite key takeaway: when job hunting, apply to companies you love with a rapid stream lit data science prototype application to stand out, instead of boring old CV’s, to prove you can do the work. This removes a lot of the CV bias and problematic HR screening that sucks good candidates into the void during job applications. It’s also a great way to get you thinking what you really want from a company.

[HalaAlKuwatly]

My favorite key takeaways:
- Tighter feedback loops: find someone who is much more experienced with you (in any aspect), and learn as much as you can from them.
- Streamlit has really good documentation, you can use that to learn streamlit from scratch (I agree!)
- Using streamlit for work is a great way to demo, showcase your work or pitch new ideas!

[healthtips]

How can i begin my journey in data analytics? Cna you give me path ?

[mrjh]

When Meta/Instagram apologised for the 'T_rrorist' being added to to user bios who posted pro-palestinian support. Was this down to machine-learning or not?