Thierry  Perret

Thierry Perret


Comment Appeler Une Fonction En Python

En Python et dans d'autres langages de programmation, vous pouvez utiliser des fonctions pour éviter de vous répéter et pour réutiliser des morceaux de code.

Pour que les fonctions fonctionnent, vous ne vous contentez pas de les écrire et de dire au revoir - vous devez aussi les appeler.

Avant d'appeler une fonction, vous devez l'écrire avec le mot-clé def. Donc dans cet article, je ne vais pas seulement vous montrer comment appeler une fonction, je vais aussi vous montrer comment la créer.

Comment définir une fonction avec le mot- defclé

Pour définir une fonction en Python, vous tapez d'abord le mot-clé def, puis le nom de la fonction et les parenthèses.

Pour indiquer à Python que la fonction est un bloc de code, vous spécifiez deux-points devant le nom de la fonction. Ce qui suit est ce que vous voulez que la fonction fasse.

La syntaxe de base d'une fonction ressemble à ceci :

def function_name():
    # What you want the function to do

Un exemple de fonction ressemble à ceci :

def learn_to_code():
    print("You can learn to code for free on freeCodeCamp")

Ce que nous voulons que cette fonction fasse, c'est imprimer le texte You can learn to code for free on freeCodeCampsur le terminal.

Pour exécuter cette fonction, vous devez l'appeler. C'est ce que nous ferons ensuite.

Comment appeler une fonction en Python

Pour appeler une fonction, vous écrivez le nom de la fonction suivi de deux-points.

La syntaxe pour appeler une fonction ressemble à ceci :


Pour appeler une fonction que nous avons définie précédemment, nous devons écrire learn_to_code():

def learn_to_code():
    print("You can learn to code for free on freeCodeCamp")

# Output: You can learn to code for free on freeCodeCamp

NB : Assurez-vous de ne pas spécifier l'appel de la fonction à l'intérieur du bloc fonction. Cela ne fonctionnera pas de cette façon car l'appel sera traité comme faisant partie de la fonction à exécuter.


Vous pouvez voir que la fonction n'a pas imprimé le texte sur le terminal car j'ai tenté de l'appeler à l'intérieur du bloc de fonction.


Et ici, vous pouvez voir que la fonction s'exécute parce que je l'ai appelée en dehors du bloc de fonction.

Comment appeler une fonction imbriquée en Python

Il peut être déroutant d'appeler une fonction imbriquée, donc je veux vous montrer comment le faire.

Ci-dessous la fonction imbriquée :

def learn_to_code():
    print("You can learn to code for free on freeCodeCamp")

    def learn_what_language():
        print("You can learn any programming language on the freeCodeCamp YouTube channel")

La learn_what_languagefonction fait partie de la learn_to_codefonction car elle est imbriquée à l'intérieur de celle-ci.

Si vous saisissez learn_to_code()et exécutez le code, seule la fonction externe (learn_to_code) est appelée :

Vous pouvez voir que seule la fonction externe est appelée et que la fonction interne est grisée.

Pour appeler également la fonction interne, vous devez taper learn_what_language()précisément. Mais où?

Vous devriez regarder juste sous le mot-clé def de la fonction interne et y taper l'appel de fonction.

Mais si vous ne faites que cela, cela ne fonctionnera toujours pas car vous devez également appeler la fonction externe.

Vous pouvez voir que la fonction interne ( learn_what_language) n'a toujours pas fait ce que nous voulions qu'elle fasse.

Pour que cela fonctionne, vous devez appeler les deux fonctions si nécessaire :

def learn_to_code():
    print("You can learn to code for free on freeCodeCamp")

    def learn_what_language():
        print("You can learn any programming language on the freeCodeCamp YouTube channel")


You can learn to code for free on freeCodeCamp
You can learn any programming language on the freeCodeCamp YouTube channel

Vous pouvez voir que tout fonctionne comme prévu.

Dernières pensées

J'espère que cet article vous aidera à apprendre à appeler correctement une fonction en Python.

Continuez à coder :)

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Comment Appeler Une Fonction En Python
Shardul Bhatt

Shardul Bhatt


Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.


Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Paula  Hall

Paula Hall


Statements And Comments In Python

When you write a program in python that particular code is written line by line. Which means there are kind of sentences in your code. These sentences can be identified under two main groups according to the reason why you are adding them into your code.

To make it easy for you I will name them as Python statements and Python comments.

Python Statements

Instructions that you write in your code and that a **Python interpreter **can execute are called statements.

Wait what! Python interpreter? What’s that?

Let me make it clear to you.

Python interpreter is nothing but a converter which converts the Python language to machine language. Your computer’s hardware obviously can’t understand Python. Therefore, there has to be something that makes the computer understand what you want to be done using your Python code. That is basically done by the Python interpreter. Piece of cake!

Still no idea what really Python statements are?

Don’t worry! Help is on the way!

#python-programming #comments-in-python #statements-in-python #python-comments #python-statements

Art  Lind

Art Lind


Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

Art  Lind

Art Lind


How to Remove all Duplicate Files on your Drive via Python

Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.


In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.

Heres a solution

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

But How do we do it?

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of hashing algorithms out there such as

  • md5
  • sha1
  • sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc…

You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like init, call, str etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

Now there are a number of such special methods, which you might have come across too, in Python. We will just be taking an example of a few of them to understand how they work and how we can use them.

1. init

class AnyClass:
    def __init__():
        print("Init called on its own")
obj = AnyClass()

The first example is _init, _and as the name suggests, it is used for initializing objects. Init method is called on its own, ie. whenever an object is created for the class, the init method is called on its own.

The output of the above code will be given below. Note how we did not call the init method and it got invoked as we created an object for class AnyClass.

Init called on its own

2. add

Let’s move to some other example, add gives us the ability to access the built in syntax feature of the character +. Let’s see how,

class AnyClass:
    def __init__(self, var):
        self.some_var = var
    def __add__(self, other_obj):
        print("Calling the add method")
        return self.some_var + other_obj.some_var
obj1 = AnyClass(5)
obj2 = AnyClass(6)
obj1 + obj2

#python3 #python #python-programming #python-web-development #python-tutorials #python-top-story #python-tips #learn-python