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1. 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 ...

2. 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

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. 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 ...

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

   www.askpython.com › python › python-vs-julia

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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!

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. 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.