Techniques d'Optimisation en Python
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- Analyser et mesurer les performances du code Python pour identifier les goulets d'étranglement.
- Comprendre les fondamentaux du chronométrage et du benchmarking pour évaluer l'efficacité des fonctions.
- Explorer l'utilisation optimale des structures de données Python comme les listes, ensembles, tuples et tableaux NumPy pour une performance améliorée.
- Découvrir les outils intégrés tels que map() et les compréhensions de liste pour écrire du code plus rapide et plus efficace.
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There are 6 modules in this course
Apprenez à écrire du code plus rapide et plus efficace en mémoire en maîtrisant la mesure des performances, en sélectionnant les bonnes structures de données et en utilisant les outils intégrés. Nous nous concentrerons sur des techniques d'optimisation pratiques pour gérer de grands ensembles de données, des opérations de chaîne efficaces et un tri partiel, garantissant que votre code est à la fois robuste et évolutif.Chosen by students of top schools
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Recommended if you're interested in learning Python
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