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1. docs.julialang.orgJulia Documentation · The Julia Language

   docs.julialang.org

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   Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this, Julia builds upon the lineage of mathematical programming languages, but also borrows much from popular dynamic languages, including Lisp, Perl, Python ...

2. 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 ...

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

   docs.julialang.org › en › v1

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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.

4. 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: 117K

   • Autor: IBM Technology

5. github.com › JuliaLang › juliaGitHub - JuliaLang/julia: The Julia Programming Language

   github.com › JuliaLang › julia

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   To build the julia executable, run make from within the julia directory.. Building Julia requires 2GiB of disk space and approximately 4GiB of virtual memory. Note: The build process will fail badly if any of the build directory's parent directories have spaces or other shell meta-characters such as $ or : in their names (this is due to a limitation in GNU make).

6. discourse.julialang.org › t › optimized-python-is-as-good-asOptimized Python is as good as Julia - Performance - Julia...

   discourse.julialang.org › t › optimized-python-is-as-good-as

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   30. Sept. 2023 · Comparison of Python / Julia benchmarks for a maths problem. I am considering switching to Julia, but would like to know if it is worth it for such tasks. Here is the Python code I used: import random import numpy as np import matplotlib.pyplot as plt import time def benchmark_it(simul_func: callable, *args, **kwargs): def wrapper(*args, **kwargs): start = time.time() simul_func(*args ...

7. 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.