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1. julialang.org › learningGet started with Julia

   julialang.org › learning

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   Pluto.jl is a Julia programming environment designed for learning and teaching, and it is a great way to get started with Julia programming, packages and visualisation. Pluto.jl is easy to install, and you can write interactive documents with no prior experience.

2. towardsdatascience.com › r-vs-python-vs-julia-90456a2bcbabR vs Python vs Julia: Efficient code | Towards Data Science

   towardsdatascience.com › r-vs-python-vs-julia-90456a2bcbab

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   23. März 2021 · The exception in Julia is when writing R-like vectorized code, with performance degrading about 3x; When adding JIT compilation (Numba) to Python, loop-based implementations got close to Julia’s performance; still Numba imposes constraints on your Python code, making this option a compromise; In Python, pick well between native lists and ...

3. julialang.org › learning › tutorialsTutorials - Julia

   julialang.org › learning › tutorials

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   Programming in Julia (Quantitative Economics) - by Jesse Perla, Thomas J. Sargent, and John Stachurski. Along with being a complete textbook with Julia code for macroeconomics, this also is a very good introduction to Julia. Introducing Julia wikibook. A Comprehensive Tutorial to Learn Data Science with Julia from Scratch by Mohd Sanad Zaki Rizvi.

4. de.wikipedia.org › wiki › Julia_(Programmiersprache)Julia (Programmiersprache) – Wikipedia

   de.wikipedia.org › wiki › Julia_(Programmiersprache)

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   Julia ist eine höhere Programmiersprache, die vor allem für numerisches und wissenschaftliches Rechnen entwickelt wurde und auch als Allzweck- Programmiersprache verwendet werden kann, bei gleichzeitiger Wahrung einer hohen Ausführungs ...

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

   kathesch.github.io › JuliaTutorial

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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. julialang.org › learning › getting-startedGetting Started with Julia

   julialang.org › learning › getting-started

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   Once you download Julia, and run the installer (Windows/Mac – on linux you just untar the downloaded file), you will get a julia binary in the bin directory where you installed Julia. Running that program will leave you in a textual prompt, which is usually called a REPL - Read-Eval-Print-Loop. You can develop your Julia programs by typing ...

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

   docs.julialang.org › en › v1

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   In Julia, a function is an object that maps a tuple of argument values to a return value. Julia functions are not pure mathematical functions, because they can alter and be affected by the global state of the program. The basic syntax for defining functions in Julia is: julia> function f(x,y) x + y. end f (generic function with 1 method) This ...