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1. www.youtube.com › watchPython vs Julia - YouTube

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   19. Jan. 2023 · Python for Data Science: https://ibm.biz/Python_for_Data_SciencePython and Julia are both common and powerful language that may seem alike, but there are def...

   • Videolänge: 7 Min.
   • Ansichten: 116,3K

   • Autor: IBM Technology

2. medium.com › @devathon_ › julia-vs-python-in-2020-d2dc2c2ef3fJulia vs Python in 2020. Despite such big numbers, the ... -...

   medium.com › @devathon_ › julia-vs-python-in-2020-d2dc2c2ef3f

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   11. Juni 2020 · Julia is a compiled language which means that programs written in Julia are directly executed as executable code. Therefore, Julia code is also universally executable with languages like Python, C ...

3. docs.julialang.org › en › v1Functions · The Julia Language

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   The basic syntax for defining functions in Julia is: julia> function f(x,y) x + y. end. f (generic function with 1 method) This function accepts two arguments x and y and returns the value of the last expression evaluated, which is x + y. There is a second, more terse syntax for defining a function in Julia. The traditional function declaration ...

4. www.askpython.com › python › python-vs-juliaPython vs Julia - Compared - AskPython

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   17. März 2021 · Conclusion. Python vs Julia come with their own set of advantages and disadvantages. Julia is still very young and carries huge potential. Comparatively, Python is a crazy popular language and if you face any difficulties, you’re bound to find someone who has solved that issue before! The choice is always yours!

5. kathesch.github.io › JuliaTutorialLearning Julia · JuliaTutorial.jl - GitHub Pages

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   Typically, Julia code written for 1.0.0 will work if run by later versions of Julia (this is known as backwards compatability). However code written for a newer Julia version cannot be assumed to run on an earlier Julia version i.e. it is not forward compatible. This is usually because it incorporates language features which are not parseable by earlier Julia versions.

6. docs.julialang.org › en › v1Mathematical Operations and Elementary Functions - Julia

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   Julia provides a comprehensive collection of mathematical functions and operators. These mathematical operations are defined over as broad a class of numerical values as permit sensible definitions, including integers, floating-point numbers, rationals, and complex numbers, wherever such definitions make sense.

7. hyperskill.org › blog › postJulia vs Python: A Comparison of Two Popular Programming...

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   Julia is faster than Python at the time of writing, making it ideal for scientific and technical computing and other performance-intensive tasks. On the other hand, Python has a code-friendly syntax and a vast library of modules and packages, making it ideal for data analysis, machine learning, and other tasks that do not require high performance.