Julia vs Python : comparaison de 30 métriques

Julia vs Python

Julia

Julia est un langage de programmation Multi-paradigm apparu en 2012, conçu par MIT. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.

Python

Python est un langage de programmation Object-Oriented, Functional, Procedural apparu en 1991, conçu par Guido van Rossum. Cas d’usage principaux : Web Development, Automation, Scripting.

30 métriques

MétriqueJuliaPython
GitHub Stars4476063766
Stack Overflow Tags580727877002
TIOBE Rank649
RedMonk Rank6913
PYPL Rank613
Average Salary (USD)104904129023
Job Postings2980141729
Benchmarks Score0.80.97
Learning CurveMediumHard
Community SizeMediumVery Large
Documentation Quality69
Ecosystem Maturity910
Industry Adoption610
Type System Complexity79
Concurrency Support610
Performance - Execution Speed810
Performance - Memory Usage89
Performance - Startup Time79
Tooling Quality89
Package Manager Quality59
IDE Support99
Debugging Experience99
GitHub Stars Rank497
Stack Overflow Tags Rank514
Average Salary Rank4612
Job Postings Rank469
Benchmarks Rank339
Learning Curve Score51
Community Size Score610
AHP Score6.718.31

Score AHP

  • Julia: 6.71 (#38)
  • Python: 8.31 (#7)
Julia           | ####### 6.71
Python          | ######## 8.31

Quand choisir Julia

Data Science, Scientific Computing, Statistics, Visualization. Julia est un langage de programmation Multi-paradigm apparu en 2012, conçu par MIT. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.

Quand choisir Python

Web Development, Automation, Scripting, General Programming. Python est un langage de programmation Object-Oriented, Functional, Procedural apparu en 1991, conçu par Guido van Rossum. Cas d’usage principaux : Web Development, Automation, Scripting.

Exemple Hello World

Julia:

println("Hello, World!")

Python:

print('Hello, World!')

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