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Bye-bye Python. Hello Julia!

Which is why more and more programmers are adopting other languages — the top players being Julia, Go, and Rust. Julia is great for mathematical and technical tasks, while Go is awesome for modular programs, and Rust is the top choice for systems programming.

Since data scientists and AI specialists deal with lots of mathematical problems, Julia is the winner for them. And even upon critical scrutiny, Julia has upsides that Python can’t beat.

The below are some highlights on Julia programming language for your reference:

Julia can be used for everything from simple machine learning applications to enormous supercomputer simulations. To some extent, Python can do this, too — but Python somehow grew into the job.

In contrast, Julia was built precisely for this stuff. From the bottom up.

Julia’s creators wanted to make a language that is as fast as C — but what they created is even faster. Even though Python has become easier to speed up in recent years, its performance is still a far cry from what Julia can do.

In 2017, Julia even joined the Petaflop Club — the small club of languages who can exceed speeds of one petaflop per second at peak performance. Apart from Julia, only C, C++ and Fortran are in the club right now.

Code conversion
You don’t even need to know a single Julia-command to code in Julia. Not only can you use Python and C code within Julia. You can even use Julia within Python!
Needless to say, this makes it extremely easy to patch up the weaknesses of your Python code. Or to stay productive while you’re still getting to know Julia.

The original article can be found here.

Forty years ago, artificial intelligence (AI) was nothing but a niche phenomenon. The industry and investors didn’t believe in it, and many technologies were clunky and hard to use. But those who learned it back then are the giants of today — those that are so high in demand that their salary matches that of an NFL player. Similarly, Julia is still very niche now. But when it grows, the big winners will be those who adopted it early.

To support AI application and development for the society and community, Artificial Intelligence World Society Innovation Network (AIWS.net) also created AIWS Young Leaders program including Young Leaders and Experts from Australia, Austria, Belgium, Britain, Canada, Denmark, Estonia, France, Finland, Germany, Greece, India, Italy, Japan, Latvia, Netherlands, New Zealand, Norway, Poland, Portugal, Russia, Spain, Sweden, Switzerland, United States, and Vietnam.