Is Python still the dominant language for Data Science in 2024 or is Julia gaining?

All answers to this question.

Python remains the undisputed king of Data Science for the foreseeable future. While Julia is faster for certain numerical tasks, Python’s ecosystem is massive. Libraries like PyTorch, TensorFlow, and Scikit-Learn have years of community support and documentation. Most corporate environments are built on Python, and the job market reflects that. If you are doing specialized research in high-performance computing, Julia is great, but for 95% of Data Science roles, Python is the requirement.

   Answered 2024-03-20 by Barbara Wright

Are you planning to work in a specific niche like quantitative finance or heavy scientific simulation where execution speed is a critical factor for your daily tasks?

   Answered 2024-03-25 by Richard Taylor

• Richard, I am mostly looking at generalist roles in tech or retail. Based on your question, it seems like Python would be the safer bet for those industries. I was just worried that Julia might pull an "R vs Python" and take over the industry suddenly. It sounds like the library support in Python is still the biggest hurdle for Julia to overcome in mainstream commercial applications.

     Commented 2024-03-30 by Christopher Lee

Stick with Python. The ability to find answers on Stack Overflow or through AI assistants is much higher for Python, which makes your learning curve significantly smoother.

   Answered 2024-04-05 by Patricia Garcia

• Excellent point, Patricia. The community support for Python means that whenever you run into a bug, someone has likely already solved it and posted the fix online.

     Commented 2024-04-10 by Barbara Wright