(Replying to PARENT post)

Interesting to note that BlackRock's Aladdin software platform, powering much of this stuff, is being largely written / re-written in Julia.

https://juliacomputing.com/case-studies/blackrock.html

๐Ÿ‘คone-more-minute๐Ÿ•‘8y๐Ÿ”ผ0๐Ÿ—จ๏ธ0

(Replying to PARENT post)

Does Julia have good substitutes for Numpy / Scipy / sk-learn / Pandas / Matplotlib / Keras / Tensorflow / Theano yet either natively (for Numpy) or from libraries (for others)? Ease of analysis being almost at the level of matlab is why I stick with python. I would love to be able to switch to something that doesn't have such a heavy handed approach at the top.
๐Ÿ‘คdaveguy๐Ÿ•‘8y๐Ÿ”ผ0๐Ÿ—จ๏ธ0

(Replying to PARENT post)

Not surprising.

Just take any function you write and write code_native( your_function, () )

Knowing that the JIT is actually executing means a lot to me. For investment banks this means lower cost (quants can write code that goes into production) and lower latencies.

๐Ÿ‘คeb0la๐Ÿ•‘8y๐Ÿ”ผ0๐Ÿ—จ๏ธ0

(Replying to PARENT post)

Any idea what it was written in before?
๐Ÿ‘คtnecniv๐Ÿ•‘8y๐Ÿ”ผ0๐Ÿ—จ๏ธ0