How to build a backend rest api with python & django – Learn with code example

Backend rest api with python & django

What is rest API ?

REST (Representational State Transfer) API is an architectural style for building web services that allows clients to communicate with servers using a set of predefined operations over HTTP. today here we will learn about Backend rest api with python & django

RESTful APIs provide a standard way for clients to interact with a server, allowing them to access and manipulate data using the same set of methods (HTTP verbs) regardless of the client or server programming languages used.

REST APIs use HTTP requests to perform CRUD (Create, Read, Update, Delete) operations on resources, which are typically represented by URLs.

Each resource can be identified by a unique URL, and clients can perform different operations (such as GET, POST, PUT, and DELETE) on those URLs to access and modify the resource.

The API typically returns data in a standardized format, such as JSON or XML, allowing clients to easily parse and process the data.

RESTful APIs are widely used in web applications, mobile apps, and IoT devices, among other things, as they provide a scalable and flexible way to communicate between clients and servers.

Build a Backend REST API with Python & Django – Advanced

Create an advanced REST API with Python, Django REST Framework and Docker using Test Driven Development (TDD)

build a backend rest api with python & django

here’s an example of how to build a simple REST API using Python and Django:

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Install Django and Django REST framework:

pip install django
pip install djangorestframework

2. Create a new Django project:

django-admin startproject myproject
cd myproject

3. Create a new Django app:

python manage.py startapp myapp

4. Define your model in myapp/models.py. For example:

from django.db import models

class Product(models.Model):
    name = models.CharField(max_length=100)
    description = models.TextField()
    price = models.DecimalField(max_digits=8, decimal_places=2)
    created_at = models.DateTimeField(auto_now_add=True)

5. Define your serializer in myapp/serializers.py. For example:

from rest_framework import serializers
from myapp.models import Product

class ProductSerializer(serializers.ModelSerializer):
    class Meta:
        model = Product
        fields = ('id', 'name', 'description', 'price', 'created_at')

6. Define your view in myapp/views.py. For example:

from rest_framework import generics
from myapp.models import Product
from myapp.serializers import ProductSerializer

class ProductList(generics.ListCreateAPIView):
    queryset = Product.objects.all()
    serializer_class = ProductSerializer

class ProductDetail(generics.RetrieveUpdateDestroyAPIView):
    queryset = Product.objects.all()
    serializer_class = ProductSerializer

7. Add the URL patterns in myproject/urls.py. For example:

from django.urls import path, include
from myapp.views import ProductList, ProductDetail

urlpatterns = [
    path('products/', ProductList.as_view()),
    path('products/<int:pk>/', ProductDetail.as_view()),
]

8. Run the development server:

python manage.py runserver

Test your API using a tool like curl, httpie, or a web browser. For example:

http http://localhost:8000/products/
http http://localhost:8000/products/1/

You now have a simple REST API for managing products. Of course, this is just a starting point, and you can add more features and functionality as needed.

What is API and how to build it with python?

Build a Backend REST API with Python & Django – Advanced

Create an advanced REST API with Python, Django REST Framework and Docker using Test Driven Development (TDD)

API stands for Application Programming Interface, which is a set of protocols, tools, and standards for building software applications.

APIs allow different software components to communicate and exchange information with each other, enabling developers to integrate different systems and services into their applications.

In the context of web development, an API typically refers to a web API, which exposes a set of endpoints (URLs) that clients can use to access and manipulate data from a server.

Web APIs use standard web technologies such as HTTP, REST, and JSON to enable communication between clients and servers.

To build a web API using Python you can use a web framework such as Flask or Django. Here’s a basic example of how to create a simple API using Flask:

Install Flask using pip:

pip install Flask

2. Create a new Python file for your API, for example app.py, and import the Flask library:

from flask import Flask

app = Flask(__name__)

3. Define a route for your API using the @app.route decorator:

@app.route('/')
def hello():
    return 'Hello, World!'

4. Start the development server:

if __name__ == '__main__':
    app.run()

Run your application by executing python app.py, and navigate to http://localhost:5000 in your web browser to see the output.

This simple example creates a route for the root URL (/) and returns the string “Hello, World!” when the route is accessed.

You can add more routes to your API and define different HTTP methods (such as GET, POST, PUT, and DELETE) to enable CRUD operations on your data.

Of course, this is just a starting point, and there are many other aspects to consider when building a real-world API, such as security, authentication, documentation, and scalability.

But this should give you a basic idea of how to build a simple API using Python and Flask.

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