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Python fundamentals with Artificial Intelligence
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Python control statements and practice
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This is a session to understand and practice Python’s basic control statements: if, for, and while.
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You will learn essential elements for implementing complex algorithms.
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Today, in the fifth Python lecture, we’ll cover control statements, collections, and collection methods,
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working through various topics with hands-on practice.
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In control statements, we’ll learn conditionals and loops, and in collections, we’ll take a closer look at lists, tuples, sets, and dictionaries.
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We’ll also learn how to use collection methods.
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Let’s review control statements.
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Control statements are the core structures that control the flow of execution in a program.
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They consist of conditionals and loops.
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First, the if statement among conditionals.
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It performs branching to execute different code depending on the condition.
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while and for loops
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They repeatedly execute code while a certain condition is satisfied, or repeat according to a sequence or range.
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The range function is a useful function that creates a sequence of integers as needed.
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Next are other control statements.
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Now it’s time to learn about the remaining control statements.
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These include the break statement, continue statement, and pass statement.
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These commands help you control code more flexibly.
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The break statement forcibly terminates a loop,
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and the continue statement skips the current iteration and moves on to the next one.
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And the pass statement executes nothing—in other words, it simply passes.
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The next topic is collections.
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We’re going to deal with lists, tuples, sets, and dictionaries.
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A list is a sequence data type that allows duplicate values and supports adding, modifying, and deleting elements.
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A tuple is similar to a list, but it is read-only.
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A set does not allow duplicate values, and you can add and remove elements.
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Lastly, a dictionary is a non-sequence data type made up of key–value pairs.
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We’ll look at each collection in more detail and see how it can be used.
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Lastly, it’s time to learn about collection methods.
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It’s important to understand the difference between functions and methods.
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Functions are used on their own, and methods are used together with an object.
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There are various methods that can be applied to lists, tuples, and sets.
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Using these methods, you can manage collections more efficiently.
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Assignment guide and wrap-up
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Based on what you learned today, try a few assignments.
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These assignments will help you practice and internalize the concepts we covered today.
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Practicing calculating an average, using lists and sets, and calculating Python scores, etc.,
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work through various problems to deepen your understanding.
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For student score calculation, write a program that takes multiple students’ scores as input and calculates and prints the total and average.
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Python’s control statements offer a variety of features.
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The break statement forcibly terminates a loop, and the continue statement skips the current iteration and moves on to the next one.
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Also, the pass statement is a command that does nothing, allowing you to add code later.
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In this example, we use a nested for-loop to print the multiplication table.
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The outer loop repeats from the 1-times table to the 9-times table, and the inner loop prints the products in each table.
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To print each table’s multiplication results neatly, we used print("-------------") to insert a separator line between the tables.
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We also practiced adding and removing elements in a set.
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Finally, we learned how to work with key–value pairs in dictionaries.
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We calculate and print the average of the tuple (43, 55, 63, 20, 91).
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Using the list [1, 2, 2, 3, 4, 4], we perform various operations.
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We take the Python scores of five students as input, then calculate and print the total and average.
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That’s it for today’s class.
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If you have any questions about the lesson, feel free to ask anytime.
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Thank you.
Notions de base de Python avec l’intelligence artificielle
Vue d’ensemble du cours et objectifs d’apprentissage
Comprendre le fonctionnement des principales instructions de contrôle Python (if, for, while) et savoir les utiliser
S’exercer aux structures conditionnelles et de boucle pour implémenter des algorithmes complexes
Apprendre les caractéristiques et l’utilisation des types de données de collection (liste, tuple, ensemble, dictionnaire)
Pratiquer une gestion efficace des données à l’aide des méthodes des collections
Instructions de contrôle : conditionnelles et boucles
Instructions de contrôle : Structures qui font bifurquer ou répéter le flux d’exécution du programme en fonction de conditions
Instruction if : Traitement conditionnel qui exécute un code différent selon une condition
Instruction while : Exécute à plusieurs reprises un bloc de code tant qu’une condition donnée est vraie
Instruction for : Répète un nombre fixe de fois sur une séquence (par exemple une liste) ou un intervalle
Fonction range() : Génère une séquence d’entiers de la longueur souhaitée pour une utilisation dans les boucles
Autres instructions de contrôle : break, continue, pass
break : Termine immédiatement la boucle en cours
continue : Ignore l’itération actuelle et passe à la suivante
pass : Ne fait rien, utilisé comme emplacement réservé pour du code à ajouter plus tard
Utilisées pour contrôler précisément le flux d’exécution dans des structures de boucle complexes
Caractéristiques des types de données de collection
list : Autorise les doublons, ordonnée, peut être ajoutée, modifiée et supprimée
tuple : Similaire à une liste, mais en lecture seule (ne peut pas être modifié)
set : N’autorise pas les doublons, l’ordre n’est pas garanti, les éléments peuvent être ajoutés et supprimés
dictionary : Type de données non séquentiel composé de paires clé–valeur
Comprendre la structure et les caractéristiques de chaque collection et choisir la plus adaptée à chaque situation
Méthodes des collections et leur utilisation
Fonction : Bloc de code appelé et utilisé de manière indépendante
Méthode : Fonction appartenant à un objet spécifique (par ex. liste, tuple, ensemble) et qui manipule cet objet
Améliorer l’efficacité de la gestion des données en utilisant diverses méthodes applicables aux listes, tuples et ensembles
Exercices tels qu’ajouter/supprimer des éléments d’un ensemble et accéder/modifier des paires clé–valeur dans un dictionnaire
Exercices pratiques et devoirs
Afficher les tables de multiplication en utilisant des boucles for imbriquées (y compris des séparateurs entre chaque groupe de tables)
Pratiquer l’ajout/la suppression d’éléments d’un ensemble et la gestion des paires clé–valeur d’un dictionnaire
Écrire un programme qui calcule la moyenne de notes données sous forme de tuple
Pratiquer le traitement de données comportant des doublons en utilisant une liste
Implémenter un programme qui prend les notes de plusieurs étudiants en entrée et calcule le total et la moyenne
Renforcer les concepts en combinant instructions de contrôle et collections pour résoudre des problèmes réels
