In this article you will learn How to Start Working with Flask API.
Flask is a popular Python web framework that is widely used for building web applications, including APIs. Here are some steps to help you get started with building a Flask API.
- Install Flask. Start by installing Flask using the following command in a terminal window.
pip install Flask
- Create a Flask app. Once it is installed, create a new app and import the Flask module. Here’s an example.
from flask import Flask
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
This creates a new Flask app and a route that returns a “Hello, World!” message.
- Run the app. To run the app, save the file as
app.py(or any other name you prefer) and then run the following command in the terminal.
flask run
This will start a local web server that you can access by going to http://localhost:5000/ in your web browser.
- Add routes and functionality. From here, you can add new routes to your app and define the functionality for each route. Also, you can use Flask’s built-in request and response objects to handle data input and output.
For example, here’s how you can create a route that accepts a GET request and returns a JSON object.
from flask import Flask, request, jsonify
app = Flask(__name__)
@app.route('/api', methods=['GET'])
def api():
name = request.args.get('name')
age = request.args.get('age')
response = {'name': name, 'age': age}
return jsonify(response)
- Deploy the app. Once you’ve built your Flask API, you can deploy it to a production server using a cloud service like AWS or Heroku. Actually, Flask provides built-in support for running in a production environment, so you just need to make sure you configure your server correctly.
These are the basic steps to get started with building a Flask API. From here, you can explore the many features and extensions available in Flask to build powerful web applications.
Further Reading
Examples of OpenCV Library in Python
A Brief Introduction of Pandas Library in Python
A Brief Tutorial on NumPy in Python
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