Aperçu des Algorithmes et des Structures de Données
La compréhension des structures de données et des algorithmes : c'est ce qui distingue les professionnels avancés des autres. Dans le monde moderne des données croissantes, il est très important de pouvoir traiter de grandes quantités de données efficacement.
Dans ce cours, vous étudierez les structures de données les plus basiques qui nous aident à gérer d'énormes quantités de données ainsi qu'à implémenter les concepts les plus basiques et cruciaux par vous-même afin que vous obteniez une compréhension plus profonde de la façon dont chaque structure de données fonctionne et que vous puissiez décider quelle structure de données est la mieux adaptée à votre tâche.Show more
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Recommended experience23 chapters
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Outcomes
Learning outcomes
Modules
Testimonials
Recommendations
Codefinity advantages
FAQs
What you will learn
- Comprendre les concepts de base des structures de données et leur nécessité dans la gestion de grands ensembles de données.
- Saisir les fondamentaux des algorithmes, y compris comment analyser et évaluer leur complexité en utilisant la notation Big-O.
- Reconnaître différentes structures de données comme les tableaux, les listes chaînées, les piles, les files d'attente et les tables de hachage ainsi que leurs complexités opérationnelles.
- Explorer les graphes, les arbres de recherche binaire (BST) et les techniques pour parcourir ces structures efficacement.
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There are 6 modules in this course
La compréhension des structures de données et des algorithmes : c'est ce qui distingue les professionnels avancés des autres. Dans le monde moderne des données croissantes, il est très important de pouvoir traiter de grandes quantités de données efficacement. Dans ce cours, vous étudierez les structures de données les plus basiques qui nous aident à gérer d'énormes quantités de données ainsi qu'à implémenter les concepts les plus basiques et cruciaux par vous-même afin que vous obteniez une compréhension plus profonde de la façon dont chaque structure de données fonctionne et que vous puissiez décider quelle structure de données est la mieux adaptée à votre tâche.Lorsque nous commençons à apprendre quelque chose de nouveau, il est très important de se familiariser d'abord avec le sujet de notre étude. Alors plongeons plus profondément dans ce que nous allons apprendre dans ce cours.
Les tableaux et les listes servent de structures de données fondamentales en programmation, avec une utilisation intensive en Python. Cette section offre un aperçu de ces structures, en explorant leurs concepts et en mettant en lumière leurs nuances d'implémentation dans le langage de programmation Python.
- Structure de Données de TableauPreview
- Complexité Temporelle des Opérations de Base sur les TableauxPreview
- Défi : Insertion d'Éléments dans le TableauPreview
- Structure de Données de Liste ChaînéePreview
- Complexité Temporelle des Opérations de Base sur les ListesPreview
- Défi : Inversing l'Ordre des Éléments dans la ListePreview
- Liste Doublement ChaînéePreview
Il existe de nombreuses tâches appliquées dans lesquelles il est nécessaire de manipuler de grandes quantités de données structurées et des structures de données simples telles qu'un array ou une liste chaînée peuvent ne plus suffire à ces fins. Dans cette section, nous examinerons le concept de type de données abstrait et comment différents ADT nous permettent de gérer efficacement de grandes quantités de données.
Dans le monde réel, on doit souvent faire face à des tâches où il est nécessaire de modéliser des dépendances complexes entre divers nœuds d'un système ou d'un domaine. Les graphes peuvent nous aider à cela. Dans cette section, nous apprendrons ce qu'est un graphe et comment le représenter efficacement en mémoire informatique.
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