Python’s tug of war between beginner-friendly and advanced features

Re:Python’s tug of war between beginner-friendly and advance... by gypsyharlot on Friday February 05, 2021 @06:54AM (#26035349)

Julia is probably excellent. How large are the benefits to using Julia compared to Python? Are the benefits great enough to compensate for the time spent:

- Training your entire team to use Julia instead of learning about other relevant things

- Re-writing your Python-infrastructure (or dealing with Julia to Python-interoperability, which means new employees now have to learn or know both Python and Julia)

- Replacing Jupyter and learning new, similar tools

- All employees making their favorite IDEs function well with Julia

- Figuring out how to make Julia talk to software that already has an existing Python API (Wireshark, AutoCAD, GNU Radio, ... just about everything you can think of)

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Re:Python’s tug of war between beginner-friendly and advance... by nmfisher on Friday February 05, 2021 @09:28AM (#26036633)

Those are definitely problems for the corporate world (except for Jupyter, a Julia kernel already exists for that).

Again, I’m not an academic so take what I say with a grain of salt - but I can see Julia paying dividends very very quickly in that sphere (once you’re over the admittedly steep learning curve).

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Re:Python’s tug of war between beginner-friendly and advance... by kirill5pol on Friday February 05, 2021 @01:04PM (#26039261)

A few of these are non-problems IMO.

- Julia is relatively easy to learn for Python people (especially the numerical people who have experience with stuff like Cython)

- The interop (both ways) is pretty great with Python

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Re:Python’s tug of war between beginner-friendly and advance... by N1H1L on Friday February 05, 2021 @02:39PM (#26040319)

The Ju of Jupyter is for Julia.

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