◎ Formation complète Python ◎
➲ Section 1
⁂ 1.1 : Introduction to the Python language➔ Video about the introduction to the python language.
⁂ 1.2 : Installation of the tools➔ Video about the installation of tools to work with Python.
➲ Section 2
⁂ 2.1.1 : Fundamental Concept Part 1➔ Video about the first part of the python language basics.
⁂ 2.1.2 : Fundamental Concept Part 2➔ Video about the second part of the python language basics.
⁂ 2.2 : Creation of the first program➔ Video about the creation of the first program
⁂ 2.3 : The variable Name➔ Video about the variable name entered by the user.
⁂ 2.4 : User data request➔ Video about the data request through the input command.
⁂ 2.5 : Exercise: Ask the age➔ Video about the exercise on the request of the age to the user.
⁂ 2.6 : Commendations in the code➔ Video about comments in the code to either explain the code or disable part of the code.
⁂ 2.7 : Numerical variable➔ Video about the numerical variable in python.
⁂ 2.8 : Character string conversion➔ Video about the conversion of the string to int.
⁂ 2.9 : Errors and exception handling➔ Video about errors and exception handling.
⁂ 2.10 : Rescue buoy➔ Video about the rescue buoy : print, input, str, int, try.
⁂ 2.11 : While loop➔ Video about the While loop to reduce repetition.
⁂ 2.12 : Improve our program with the loop➔ Video about improving the code with the while loop.
⁂ 2.13 : Emergency buoy: while loop➔ Video about the while loop rescue buoy in a global way and more explained.
⁂ 2.14 : Debugging/a>➔ Video about code debugging.
➲ Section 3
⁂ 3.1 : Exercise: Forcing a name to be entered➔ Video about the exercise on forcing a name in.
⁂ 3.2 : Function➔ Video about functions in python.
⁂ 3.3 : Rescue buoy: functions and return➔ Video about the function rescue buoy.
⁂ 3.4 : Exercise: Function ask the name➔ Video about the exercise on the function ask the name.
⁂ 3.5 : Global variable and parameters➔ Video about the first part of the python language basics.
⁂ 3.6 : Rescue buoy: parameters➔ Video about the emergency buoy of the function parameters.
⁂ 3.7 : Exercise: Display function➔ Video about the exercise on the function display.
⁂ 3.8 : Condition and boolean variable➔ Video about the conditions and variables because of the boolean.
⁂ 3.9 : Elif condition➔ Video about the if, else, elif condition.
⁂ 3.10 : Exercise: Conditions➔ Video about the exercise on the conditions
⁂ 3.11 : Condition AND / OR➔ Video about the conditions and/or in python
➲ Section 4
⁂ 4.1 : The "for" loop➔ Video about the for loop exercise.
⁂ 4.2 : Number with commas and optional parameter➔ Video about numbers with decimal point and optional parameter.
⁂ 4.3 : Formatted channels➔ Video about formatted channels
⁂ 4.4 : Visual approach➔ Video about the exercise on the name request.
⁂ 4.5 : Creation of the project➔ Video about the creation of the project.
⁂ 4.6 : Move the turtle➔ Video about the movement of the turtle.
⁂ 4.7 : Exercise: Making a staircase➔ Video about the exercise on the drawing of a staircase.
⁂ 4.8 : Exercise: Draw a square➔ Video about the exercise on drawing a square.
⁂ 4.9 : Exercise: Several squares➔ Video about the exercise on several squares.
⁂ 4.10 : Synthesis➔ Video about the synthesis on the variables.
➲ Section 5
⁂ 5.0 : The magic number➔ Video about the magic number.
⁂ 5.1 : Creation of the project➔ Video about the creation of the project.
⁂ 5.2 : Exercise: ask for number➔ Video about the exercise on the request of the number.
⁂ 5.3 : Exercise : condition➔ Video about the exercise on conditions.
⁂ 5.4 : Exercise: Loop➔ Video about the exercise on the loop.
⁂ 5.5 : Exercise: Input management➔ Video about the exercise on managing invalid entries.
⁂ 5.6 : Min/max error cases➔ Video about the error case of min and max.
⁂ 5.7 : Limit the number of lives: while loop➔ Video about limiting the number of lives with the while loop.
⁂ 5.8 : Limit the number of lives: for loop➔ Video about limiting the number of lives with the for loop.
➲ Section 6
⁂ 6.1 : The math game➔ Video about the math game in python.
⁂ 6.2 : Creation of the project➔ Video about the creation of the project.
⁂ 6.3 : Exercise: Addition➔ Video about the addition exercise.
⁂ 6.4 : Exercise: Several questions➔ Video about the exercise on several questions.
⁂ 6.5 : Exercise: Points➔ Video about the exercise on points.
⁂ 6.6 : Exercise : Conditions➔ Video about the exercise on conditions.
⁂ 6.7 : Addition or multiplication➔ Video about the addition or modification.
➲ Section 7
⁂ 7.1 : Create a function➔ Video about creating a function in python.
⁂ 7.2 : The parameters➔ Video about the parameters.
⁂ 7.3 : The return➔ Video about the return.
⁂ 7.4 : Refactoring our code➔ Video about refactoring the code knowing that our code is long and can be reduced.
⁂ 7.5 : Hierarchy➔ Video about code hierarchy.
⁂ 7.6 : Return several values➔ Video about the return of several values
⁂ 7.7 : Types of parameters and returns➔ Video about parameter and return types.
⁂ 7.8 : Exercise: Multiplication tables➔ Video about the exercise on multiplication tables.
➲ Section 8
⁂ 8.1 : Questionnaire v1➔ Video about the exercise on the name request.
⁂ 8.2 : Exercise: Coding a questionnaire➔ Video about the exercise on the questionnaire code.
⁂ 8.3 : Refactoring our code➔ Video about code refactoring.
⁂ 8.4 : Manage a score➔ Video about the score.
➲ Section 9
⁂ 9.1 : The functions : Advanced concepts➔ Video about the advanced functions.
⁂ 9.2 : Recursive functions➔ Video about recusive functions in python.
⁂ 9.3 : Difference between break and return➔ Video about the difference between the break and the return.
⁂ 9.4 : Callbacks et lambdas➔ Video concernant les fonctions callback et lambdas
⁂ 9.5 : Variable number of parameters➔ Video about the variable numbers of the parameters.
➲ Section 10
⁂ 10.1 : Tuples➔ Video about tuples in python.
⁂ 10.2 : Listes➔ The Lists module in Python is used to store a collection of items in a single variable. Lists are ordered, mutable, and allow duplicate elements. They can be created using square brackets and can contain any type of data, including other lists. List methods include adding, removing, and accessing elements. Lists are commonly used in data manipulation, sorting, and filtering.
⁂ 10.3 : Functions and tuples➔ The Functions and Tuples module in Python introduces the concept of reusable code through functions. Functions are blocks of code that can be called multiple times with different input parameters, making code more efficient and modular. Tuples are a type of data structure that stores multiple values in a single variable. They can be used to return multiple values from a function or to represent fixed sets of data. This module covers topics such as function definition, function arguments, variable scope, recursion, and tuple manipulation.
⁂ 10.4 : Python the slices➔ Python the slices module is a powerful tool for manipulating and extracting data from sequences such as strings, lists, and tuples. It allows you to select specific elements from a sequence by using a concise and intuitive syntax. Slicing operations can be performed on both mutable and immutable objects, making it a versatile tool for data manipulation. This module is essential for any Python programmer looking to efficiently work with sequences and extract specific data from them.
⁂ 10.5 : Exercise: Asking for people's names➔ The Python module "Exercise: Asking for people's names" is designed to teach users how to create a program that prompts the user to enter their name and then greets them by name. This module covers the basic concepts of user input, string manipulation, and conditional statements. By completing this exercise, users will gain a better understanding of how to create simple programs in Python that interact with the user.
⁂ 10.6 : Exercise: "Smallest value" algorithm➔ The "Smallest value" algorithm is a Python exercise module designed to help learners understand the process of finding the smallest value in a given list of numbers. The module provides step-by-step instructions on how to implement the algorithm using Python code, as well as practice exercises to reinforce the concept. By completing this module, learners will gain a better understanding of basic Python programming concepts and improve their problem-solving skills.
➲ Section 11
⁂ 11.1 : Pizzas V1 (lists)➔ The Python module "Pizzas V1 (lists)" is designed to create and manipulate lists of pizza toppings. It allows users to add, remove, and modify toppings, as well as display the current list of toppings. This module is useful for anyone looking to create a customizable pizza ordering system or for those who simply want to experiment with different pizza combinations. It is easy to use and can be integrated into larger Python programs or scripts.
⁂ 11.2 : Exercise: Display the pizzas➔ The "Exercise: Display the pizzas" Python module is designed to help users learn how to display a list of pizzas using Python code. It includes step-by-step instructions and sample code to guide users through the process, making it easy to understand and implement. With this module, users can improve their Python skills and gain confidence in their ability to create effective code for displaying information.
⁂ 11.3 : Exercise: First pizza, last pizza➔The "Exercise: First pizza, last pizza" Python module is a programming exercise that involves creating a program to keep track of pizza orders. The program prompts the user to enter the number of pizzas they want to order, and then asks for the type of each pizza. The program then calculates the total cost of the order and displays it to the user. Additionally, the program keeps track of the first and last pizzas ordered and displays them at the end. This exercise is designed to help beginners practice basic Python programming concepts such as variables, loops, and conditional statements
⁂ 11.4 : Exercise: Adding a pizza➔ The "Exercise: Adding a Pizza" Python module is designed to teach students how to create a program that allows users to add a pizza to a list. The module covers topics such as user input, list manipulation, and conditional statements. Students will learn how to prompt the user for information about the pizza, add it to the list, and display the updated list. This module is ideal for beginners who are looking to improve their Python skills.
⁂ 11.5 : Exercise: Error if this pizza already exists➔ The "Exercise: Error if this pizza already exists" Python module is designed to prevent duplicate entries of pizza orders in a restaurant's database. It prompts the user to enter the name of the pizza they want to order and checks if it already exists in the database. If it does, an error message is displayed, and the user is prompted to enter a different pizza name. This module helps to ensure accurate and efficient order processing in the restaurant.
⁂ 11.6 : Sort the list➔ The "Sort the list" Python module is designed to help users sort a list of items in ascending or descending order. It includes various sorting algorithms, such as bubble sort, insertion sort, and quicksort, to efficiently arrange the elements of the list. The module provides flexibility in choosing the sorting method and allows users to customize the sorting criteria based on their needs. It is a powerful tool for organizing data and improving the efficiency of data processing tasks.
⁂ 11.7 : Exercise: Slices➔ The "Exercise: Slices" Python module is designed to help users learn how to manipulate and extract specific parts of a string using slicing techniques. Through a series of exercises, users will practice using slicing notation to extract specific characters, substrings, and ranges of characters from a given string. This module is ideal for beginners who are looking to improve their string manipulation skills in Python.
⁂ 11.8 : Developments and issues➔ The Developments and Issues module in Python covers advanced topics such as concurrency, networking, and security. It also delves into the ethical considerations of software development, including privacy and data protection. Students will learn how to implement multi-threading, socket programming, and encryption techniques. The module also explores emerging technologies like blockchain and artificial intelligence. Overall, this module provides a comprehensive understanding of the challenges and opportunities in modern software development.
➲ Section 12
⁂ 12.1 : The dictionary➔ The dictionary module in Python is a built-in data structure that allows for the creation and manipulation of key-value pairs. It is a highly efficient way to store and retrieve data, with constant time complexity for accessing elements. The module provides a range of methods for working with dictionaries, including adding and deleting elements, merging dictionaries, and iterating over keys and values. It also supports advanced features like nested dictionaries, dictionary comprehension, and the ability to sort and filter dictionaries. The dictionary module is an essential tool for any Python programmer working with complex data structures.
⁂ 12.2 : Using of the dictionary➔The "Using of the dictionary" Python module provides a way to store and manipulate data in key-value pairs. It allows for efficient retrieval and modification of data using keys, and supports a variety of operations such as adding, deleting, and updating elements. The module is useful for tasks such as data processing, text analysis, and building complex data structures. It is a fundamental tool for any Python programmer and is widely used in various applications.
⁂ 12.3 : List vs Dictionary➔ The "List vs Dictionary" Python module explores the differences between two important data structures in Python: lists and dictionaries. Lists are ordered collections of items, while dictionaries are unordered collections of key-value pairs. This module covers the advantages and disadvantages of each structure, as well as how to use them effectively in different situations. Students will learn how to create, access, and modify lists and dictionaries, and how to choose the appropriate structure for their programming needs.
➲ Section 13
⁂ 13.1 : Collections - advanced notion : Introduction➔ The Collections module in Python provides a set of advanced data structures beyond the standard built-in types. This module includes container classes like deque, OrderedDict, defaultdict, and Counter, which offer additional functionality and performance benefits for managing and manipulating data. This introduction to the Collections module covers the basics of each data structure, their use cases, and how to implement them in Python code. With this knowledge, developers can improve their code's efficiency and readability by utilizing the advanced features provided by the Collections module.
⁂ 13.2 : Append, extend and insert➔The Append, Extend, and Insert methods in Python are used to add elements to a list. The Append method adds a single element to the end of the list. The Extend method adds multiple elements to the end of the list. The Insert method adds a single element at a specific index in the list. These methods are useful for modifying and updating lists in Python programming.
⁂ 13.3 : Clarifications on slices➔ The "Clarifications on slices" Python module provides a detailed explanation of how to use slicing in Python. Slicing is the process of extracting a subset of elements from a sequence, such as a list or string. This module covers topics such as slice notation, slice objects, and slice assignment. It also clarifies common misunderstandings and provides examples to help users better understand the concept of slicing. This module is essential for anyone looking to master Python's slicing capabilities
⁂ 13.4 : Tris: Sort and sorted➔ The Tris module in Python provides two functions, sort and sorted, for sorting lists and other iterable objects. The sort function modifies the original list in place, while the sorted function returns a new sorted list without modifying the original. Both functions can take optional arguments for customizing the sorting behavior, such as specifying a key function or reverse sorting. Tris is a powerful tool for organizing and analyzing data in Python programs.
⁂ 13.5 : Operations on elements: min, max, in, sum➔ The "Operations on elements: min, max, in, sum" module in Python allows for easy manipulation and analysis of data sets. The "min" function returns the smallest element in a set, while the "max" function returns the largest. The "in" operator checks whether a given element is present in a set. Finally, the "sum" function returns the total sum of all elements in a set. These operations are essential for data analysis and manipulation in Python.
⁂ 13.6 : Swap two elements of a list➔ The "Swap two elements of a list" Python module allows you to easily swap the positions of two elements within a list. This can be useful for reordering lists or for making specific changes to the order of elements within a list. With just a few lines of code, you can swap the positions of any two elements within a list, making it a versatile tool for any Python developer.
⁂ 13.7 : Join and Split➔ The Join and Split module in Python is used for manipulating strings. The join() method is used to concatenate a list of strings into a single string using a specified separator. The split() method is used to split a string into a list of substrings based on a specified delimiter. These methods are useful for data processing and text manipulation tasks in programming.
⁂ 13.8 : Index, find and count➔ The "Index, find and count" module in Python is used to search for specific elements within a string or list. The index method returns the position of the first occurrence of a specified element, while the find method returns the position of the first occurrence of a substring. The count method returns the number of times a specified element appears in a string or list. These methods are useful for data analysis and manipulation tasks.
⁂ 13.9 : List completions➔ List completions is a Python module that provides a way to complete lists. It allows you to generate a list of all possible combinations of a given set of elements. This module is useful when you need to generate a list of all possible combinations of a set of elements, such as when you are working with permutations or combinations. It is easy to use and can save you a lot of time when working with large sets of data.
⁂ 13.10 : Any and All➔ The "Any and All" module in Python is a built-in function used to check if any or all elements in an iterable object are true. It returns True if any element is true or if all elements are true, respectively. This module is useful for performing logical operations on lists, tuples, and other iterable objects. It helps to simplify code and improve efficiency by reducing the need for complex loops and conditional statements.
⁂ 13.11 : Test if a string contains numbers (any, isdigit)➔ The Python module "Test if a string contains numbers (any, isdigit)" provides functions to check if a string contains any numeric characters or if all characters in the string are numeric. The "any" function returns a Boolean value indicating whether any numeric characters are present in the string, while the "isdigit" function returns a Boolean value indicating whether all characters in the string are numeric. These functions are useful for validating input data or performing data analysis on strings that contain numeric values.
⁂ 13.12 : Exercise: case insensitive➔ The "Exercise: case insensitive" Python module is designed to help learners understand how to handle case-insensitive string comparisons in Python. The module provides practical exercises that enable learners to apply their knowledge of string manipulation and comparison techniques to solve real-world problems. By completing this module, learners will gain a better understanding of how to write Python programs that can handle case-insensitive input and output, which is a crucial skill for any Python developer.
⁂ 13.13 : Exercise: Extracting extensions➔ In this Python module, you will learn how to extract file extensions from a list of file names using regular expressions. You will also learn how to store the extracted extensions in a separate list and count the number of occurrences of each extension. This module is ideal for beginners who want to learn regular expressions and how to work with lists in Python.
⁂ 13.14 : Exercise: Total number of characters➔ The "Total number of characters" Python module is an exercise that requires the user to write a program that calculates the total number of characters in a given string. The program should be able to handle both upper and lower case letters, spaces, and special characters. This exercise is a great way to practice string manipulation and counting algorithms in Python.
⁂ 13.15 : Collections: Zip➔ The Collections: Zip module in Python is used to combine two or more lists into a single list of tuples. This module is a powerful tool for data manipulation and analysis, particularly when dealing with large datasets. It allows for efficient and concise code, making it a popular choice among Python programmers. The Zip module is easy to use and can be customized to meet specific needs, making it a valuable addition to any Python project.
➲ Section 14
⁂ 14.1 : OOP with Python : Introduction➔ This module provides an introduction to Object-Oriented Programming (OOP) in Python. It covers the basics of creating classes, objects, and methods, as well as inheritance and polymorphism. Students will learn how to use OOP to create more modular and reusable code, and how to apply OOP concepts to solve real-world problems. The module includes hands-on exercises to reinforce learning and practical application.
⁂ 14.2 : Understanding object-oriented programming➔ The Understanding Object-Oriented Programming module in Python provides an introduction to the fundamental concepts of object-oriented programming. Students learn how to create classes, objects, and methods, and how to use inheritance and polymorphism to create more complex programs. The module covers encapsulation, abstraction, and other key concepts, and provides hands-on practice with real-world examples. By the end of the module, students will have a solid understanding of how to use object-oriented programming in their Python projects.
⁂ 14.3 : Your first steps in OOP➔ The "Your first steps in OOP" module in Python is an introductory course on object-oriented programming. Students will learn the basics of creating classes, objects, and methods, as well as inheritance and polymorphism. The module covers important concepts such as encapsulation and abstraction, and provides practical examples for hands-on learning. By the end of the course, students will have a strong foundation in object-oriented programming and be able to apply it to their Python projects.
⁂ 14.4 : Creating using of the Person class➔ This Python module teaches how to create and use the Person class, which is a blueprint for creating objects that represent people. It covers the basics of object-oriented programming, including creating and initializing objects, defining class methods and instance variables, and using inheritance to create subclasses. By the end of the module, learners will be able to create their own Person objects and manipulate them using the methods and properties defined in the class.
⁂ 14.5 : Exercise: add age➔ The "Exercise: add age" Python module is designed to teach learners how to add age to a dictionary of people using Python. The module covers the basics of dictionaries, loops, and conditional statements in Python, and guides learners through the process of adding age to a dictionary of people using these concepts. By the end of the module, learners should be able to confidently use Python to add age to a dictionary and manipulate the data within it.
⁂ 14.6 : Debugger and call order➔ The Debugger and Call Order module in Python is designed to help developers identify and fix errors in their code. It allows users to step through their code, line by line, and view the values of variables at each step. The module also provides a call order view, which displays the order in which functions are called and helps developers understand the flow of their program. With the Debugger and Call Order module, developers can quickly identify and resolve issues in their Python code.
⁂ 14.7 : Exercise: "major" method➔ The "major" method is a Python module exercise that involves creating a function that returns the most common element in a list. This exercise helps to improve your understanding of Python functions and loops, as well as your ability to manipulate lists. By completing this exercise, you will be able to write efficient code to find the most common element in a list, which is a useful skill in data analysis and programming.
⁂ 14.8 : Exercise: ask the name➔
⁂ 14.9 : Case Studies: Introduction➔ This Python module "Exercise: ask the name" is designed to teach beginners how to ask for and store user input using the input() function in Python. The module provides a step-by-step guide on how to prompt the user for their name, store the input in a variable, and then print a personalized message using the stored name. This exercise is a great way to introduce beginners to the basics of user input and variable assignment in Python.
⁂ 14.10 : Exercise: Scenario situation 1➔ The "Exercise: Scenario situation 1" module in Python is a programming exercise that challenges learners to solve a hypothetical problem scenario using their coding skills. The scenario involves a situation where a user needs to input a series of numbers and the program must calculate the sum and average of those numbers. Learners will need to use Python's input function, loops, and mathematical operations to complete the task. This exercise is designed to help learners improve their problem-solving and coding skills in Python.
⁂ 14.11 : Exercise: Scenario 2➔ The "Exercise: Scenario 2" Python module is designed to challenge learners with a practical coding scenario. The module presents a problem and asks learners to write code to solve it, helping them develop their problem-solving skills and programming abilities. The scenario is designed to be realistic and engaging, encouraging learners to apply their knowledge to real-world situations. This module is ideal for learners who want to improve their Python coding skills and gain experience in solving complex problems using programming.
⁂ 14.12 : Exercise: Scenario 3➔ The Exercise: Scenario 3 module in Python is designed to help users practice their coding skills by presenting them with real-world scenarios and challenges. This module focuses on scenario-based exercises that require participants to think critically and creatively to solve problems. With a range of exercises and challenges, users can develop their Python coding skills while also gaining valuable experience in problem-solving, logic, and critical thinking. Whether you're a beginner or an experienced coder, the Exercise: Scenario 3 module is an excellent way to enhance your skills and build your confidence.
⁂ 14.13 : List of objects➔ The "List of objects" module in Python is used to create a list of objects, where each object can have its own properties and methods. This module allows you to easily manage and manipulate a collection of objects, including sorting, filtering, and searching. It is a powerful tool for organizing and processing large amounts of data, and can be used in a variety of applications, from data analysis to game development. With the "List of objects" module, you can create complex data structures that can be easily accessed and modified, making your code more efficient and flexible.
⁂ 14.14 : Exercise: Introduce all the people➔ The "Exercise: Introduce all the people" Python module is designed to help beginners learn how to create a program that introduces a group of people. This exercise teaches the basics of Python programming, including data types, variables, and functions. By the end of the module, learners will have created a program that can introduce each person in a group, including their name, age, and occupation. This module is a great way to get started with Python programming and gain confidence in your coding skills.
⁂ 14.15 : Exercise: Scenario 4➔ The "Exercise: Scenario 4" Python module is designed to provide learners with hands-on experience in using Python to solve complex problems. The module focuses on developing skills in data manipulation, data analysis, and data visualization through practical exercises. Learners will be challenged to apply their knowledge of Python to real-world scenarios, enhancing their problem-solving abilities and preparing them for future data-driven projects. This module is ideal for those seeking to advance their Python skills and build a strong foundation in data science.
⁂ 14.16 : New concept: Class variable➔ The "New Concept: Class Variable" module in Python introduces the concept of class variables, which are variables that are shared across all instances of a class. This allows for efficient memory usage and easy access to commonly used data. The module covers how to define and use class variables, as well as how to modify them using class methods. By mastering this concept, Python programmers can create more robust and efficient code.
⁂ 14.17 : Legacy➔ The Legacy module in Python provides a way to work with older versions of Python code and libraries. It includes tools for converting code from Python 2 to Python 3, as well as support for older libraries that may not be compatible with newer versions of Python. This module is useful for developers who need to maintain legacy code or work with legacy systems.
➲ Section 15
⁂ 15.1 : Pizzas V2 (objects)➔ The Pizzas V2 (objects) Python module is an updated version of the original Pizzas module, now incorporating object-oriented programming. It allows for the creation of pizza objects with customizable toppings and sizes, as well as the ability to calculate the cost of the pizza based on these factors. The module also includes functions for displaying the available toppings and sizes, as well as a function for ordering multiple pizzas at once.
⁂ 15.2 : Creation of the Pizza class➔ The Creation of the Pizza class is a Python module that allows developers to create a class for pizzas. This module enables users to define the size, toppings, and other attributes of a pizza object. It also includes methods for calculating the cost of the pizza based on these attributes. The module is designed to be flexible, allowing developers to customize the class to fit their specific needs. Overall, the Creation of the Pizza class module is a useful tool for Python developers looking to work with pizza objects in their code.
⁂ 15.3 : Add the ingredients➔ "Add the ingredients" is a Python module that allows users to create and manage a recipe book. With this module, users can add ingredients to their recipes, as well as view and edit existing recipes. The module is designed to be user-friendly and intuitive, making it easy for both novice and experienced Python programmers to use. Whether you're a seasoned chef or just learning to cook, "Add the ingredients" is a valuable tool for organizing and managing your recipes.
⁂ 15.4 : Exercise list of pizzas➔ The "Exercise list of pizzas" Python module is designed to provide a fun and interactive way to practice Python programming skills. This module includes a list of pizza toppings and allows users to create custom pizzas by selecting and adding toppings. The module also includes functions to calculate the cost of each pizza and to display the final list of pizzas with their respective costs. This module is a great tool for anyone looking to improve their Python programming skills while having fun creating delicious virtual pizzas.
⁂ 15.5 : Exercise: Vegetarian➔ The "Exercise: Vegetarian" Python module is designed to help users learn how to create a program that can determine whether a given meal is vegetarian or not. It covers topics such as conditional statements, loops, and functions, and provides users with hands-on experience in coding. By the end of this module, users will be able to create a basic vegetarian meal checker that can identify whether a meal contains meat or not.
⁂ 15.6 : Exercise: Filters➔ The "Exercise: Filters" module in Python is designed to help learners understand how to use filters to manipulate and process data in Python. It covers topics such as filtering data based on specific criteria, applying filters to lists and dictionaries, and creating custom filters. This module is ideal for those who want to improve their data processing skills and learn more about Python's filter function.
⁂ 15.7 : Sorting pizzas➔ Sorting pizzas is a Python module that allows you to sort a list of pizzas based on their toppings, size, or price. With Sorting pizzas, you can easily organize your pizza order or menu according to your preferences. This module is a useful tool for pizza lovers, restaurant owners, and anyone who wants to streamline their pizza selection process.
⁂ 15.8 : Personalisee Pizza (Legacy)➔ The Personalisee Pizza (Legacy) Python module allows users to create customized pizza orders for a pizzeria. It includes features such as selecting toppings, crust type, and pizza size. Users can also save their favorite orders for future use. This module is designed to streamline the ordering process and provide a personalized experience for customers.
⁂ 15.9 : Exercise:custom pizza price➔ The "Exercise: Custom Pizza Price" module in Python is a programming challenge that requires the creation of a program that calculates the price of a custom pizza based on user input of the size and toppings. The program uses conditional statements and loops to determine the final price, and provides a user-friendly interface for input and output. This module is a great exercise for beginner and intermediate Python programmers looking to improve their logic and problem-solving skills.
⁂ 15.10 : Exercise: Multiple custom Pizzas➔ The "Exercise: Multiple custom Pizzas" Python module allows users to create multiple custom pizza orders with different toppings and sizes. The module provides a flexible and user-friendly interface for selecting toppings and specifying the size of each pizza. It also calculates the total cost of each order based on the selected toppings and size. This module is an excellent exercise for practicing Python programming skills, especially in working with functions, loops, and conditional statements.
⁂ 15.11 : Custom pizza enhancements➔ The Custom Pizza Enhancements module in Python allows users to create customized pizza orders with specific toppings, crusts, and sauces. Users can also save their favorite combinations for future orders. This module streamlines the pizza ordering process and ensures that customers receive exactly what they want. With Custom Pizza Enhancements, pizza lovers can satisfy their cravings and enjoy their favorite flavors in every bite.
👍 Bon à savoir :
Python is a programming language created in 1991. Unlike other languages such as Java or C++ (which are compiled), Python is an interpreted language, which means that the instructions typed are written in binary as they are read. It has the advantage of being fairly easy to understand and learn, while remaining powerful and suitable for large projects, which therefore makes it the ideal programming language for beginners.