Julia vs Python: What are the differences?
What is Julia? A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
What is Python? A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Julia and Python belong to "Languages" category of the tech stack.
"Lisp-like Macros" is the top reason why over 7 developers like Julia, while over 1022 developers mention "Great libraries" as the leading cause for choosing Python.
Julia and Python are both open source tools. It seems that Python with 25.3K GitHub stars and 10.5K forks on GitHub has more adoption than Julia with 22.7K GitHub stars and 3.43K GitHub forks.
Uber Technologies, Spotify, and Netflix are some of the popular companies that use Python, whereas Julia is used by inFeedo, Platform Project, and N26. Python has a broader approval, being mentioned in 2826 company stacks & 3632 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.
What is Julia?
What is Python?
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This language and its community are exactly how I have always dreamed them to be. The language is both easy to use/very flexible/powerful and very fast ! The community is very dynamic, open minded and ambitious.
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than right now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
To me, this is by far the best programming language. Why? Because it’s the only language that really got me going after trying to get into programming with Java for a while. Python is powerful, easy to learn, and gets you to unsderstand other languages more once you understand it. Did I state I love the python language? Well, I do..
Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.
been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.