DEV Community

Logan Kilpatrick
Logan Kilpatrick

Posted on β€’ Originally published at Medium

1 1

Why you should invest in Julia now, as a Data Scientist

Julia for Data Science

Julia is a high level, dynamic programming language built to be as fast as C or C++ while remaining as easy to use as Python. For data scientists, this is a computational dream come true.

In this post, we will talk about the following topics with the goal being to convince a data scientist that the Julia ecosystem is worth investing time into. At a high level, the main reason to switch to Julia (or use it to suppliment existing workflows) is the productivity it enables for developers. Who doesn’t love being able to work more effectively?!

Topics we will cover:

  • Julia use-cases πŸ§‘β€πŸ’»
  • Data Science packages πŸ€–
  • Interoperability πŸ”€
  • Speed ⚑️
  • Learning Resources πŸ“š

To find out more, check out the full medium post I wrote up here: https://medium.com/@logankilpatrick/why-you-should-invest-in-julia-now-as-a-data-scientist-30dc346d62e4.

AWS GenAI LIVE image

How is generative AI increasing efficiency?

Join AWS GenAI LIVE! to find out how gen AI is reshaping productivity, streamlining processes, and driving innovation.

Learn more

Top comments (3)

Collapse
 
shaver profile image
Satyapragyan Das β€’

@suvojitbarick check this.

Collapse
 
logankilpatrick profile image
Logan Kilpatrick β€’

@ifihan let me know what you think of this!

Collapse
 
ifihan profile image
Ifihanagbara Olusheye β€’

This is nice! I'd like to write on this with you too. I'm almost done with writing on one of the topics stated there too!

Billboard image

Create up to 10 Postgres Databases on Neon's free plan.

If you're starting a new project, Neon has got your databases covered. No credit cards. No trials. No getting in your way.

Try Neon for Free β†’

πŸ‘‹ Kindness is contagious

Please leave a ❀️ or a friendly comment on this post if you found it helpful!

Okay