Python Flask Tutorial

Welcome to the python flask tutorial. Python has been the most popular coding language. Companies are already moving their legacy applications to python. It has become the most commonly used language. Python makes web development quick and easy through the flask framework. This framework helps developers in being more productive. In this post, you will learn about python flask in detail. If you are new to python, we strongly suggest you acquire some knowledge of python first. Although knowing python is a huge advantage, having knowledge of HTTP will be really helpful to follow this tutorial. Let us get started.

Python flask

Flask is a lightweight web application framework provided by python. A web application framework represents a collection of libraries that help in building web applications quickly. The web applications can be of web pages, or it can range to complex commercial applications. It does not have a database abstraction layer. It is developed by Armin Ronacher of the ‘Pocoo’ and released initially on April 1st, 2010. It initially began as a wrapper around Werkzeug and Jinja projects.

Werkzeug - It is a WSGI (web server gateway interface) utility from python.It is an interface between the web server and the web applications. It provides useful functions and classes for the WSGI application.
Jinja - It is a templating language for python. It comes with an optional sandboxed template execution environment.It is similar to the Django template. We can create HTML, XML, or other markup formats.

The latest stable version (1.1.2) release of python flask is on April 3rd, 2020.It is voted as the most popular web framework in the Python Developers Survey 2018.It has a lot of stars on GitHub than Django and other python web application frameworks. Flask doesn't enforce any dependencies.

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Advantages of Python flask

Flask offers a variety of benefits, that's why the developers like to work with Python flask. Let's look at some of the benefits of the flask.

  • Flask is easy to use and read. So the developers can easily understand the code written by other programmers.
  • It is a microframework and has a modular design, so it is easy to transit.
  • It allows quick prototyping.
  • We can scale up to creating complex web applications.
  • It handles HTTP requests.
  • It provides better performance.
  • It has a built-in development server.
  • It provides support for secure cookies.
  • We will have more control over the application development.
  • It supports integrated unit testing.
  • It uses Jinja templating.
  • We can plugin our favorite ORM.
  • It supports a lot of extensions that we can add to any application features that we like.
  • It is WSGI 1.0 compliant, so it is easier to deploy flask in production.
  • We will have more flexibility in configuration.

What are APIs?

An API is short for Application Programming Interface. Computer programs have to communicate with other programs or with the underlying operating system. This is when we require APIs to establish communication. An API is a computer program that allows manipulating information by another program over the internet. We can share data with other users through APIs. Here are some keywords to remember while creating APIs.

HTTP (Hypertext Transfer Protocol) - It is the primary means of data communication over the web. It has methods that specify the movement of data direction. 

URL (Uniform Resource Locator) - It represents the address of a resource on the web. It consists of a protocol, domain, and an optional path. 

JSON (JavaScript Object Notation) - An API return data in the form of JSON. It is a data format that is easily readable by users and machines.

REST (REpresentational State Transfer) - It represents the best practices for implementing APIs.The APIs that follow REST principles are called REST APIs.

HTTP methods

HTTP request methods indicate the action to be performed on a resource. We have to specify which HTTP method should handle the request in the flask route function. Let's look at the different HTTP methods.

GET - It sends data in the form of unencrypted to the server. It is the most commonly used method. The flask route responds to GET requests by default. It only retrieves data from the user.
HEAD - It functions the same as the GET method but without a request body.
POST - We can use POST to send form data to the server. The server cannot cache the received data.
PUT - It replaces all the current representations of the target resource with the request payload.
DELETE - It deletes all the current representations of the target resource.

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Creating your first flask application

First, make sure that python is functional in your system. Open command prompt and type in python.You should be able to see the python version and other information. You will also be in an interactive prompt where you can execute python code. Let us create a simple flask application.

In python, all the application code will be present in a subdirectory and should include an '' file. The file is a package that can be imported and executed. Create a project folder with 'SampleApp' as the name. Create a new file in your favorite text editor and paste the following code in it.

#Import flask module into the project 
from flask import Flask

#Create a flask object
app = Flask(__name__)

#URL mapping of the associated function

#Specify the server response to return
def first_application():
return 'Welcome to the HKR Trainings'

#The main driver function
if __name__ == '__main__':
#Run the application

You can find comments in the code that explains every line. Save the file with name as Open the command prompt and navigate to your project folder using the below command.


Give the below command to run your application.


You can see the logs of the application on the command line. It will show the URL on which the application is running too. The URL will usually be http://localhost:5000. Open a browser and run http://localhost:5000. You should be able to see a message that says 'Welcome to the HKR Trainings'.

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Creating an API

Now that you know how to create and run a python application. Let us create an API that can return some information. Let us add our training tutorials as a list of python dictionaries. Dictionaries in python will be of key-value pairs. Each dictionary should have a unique id through which it can be identified.

Create a new project with 'TrainingLinks' as a name. Open a new file in a text editor and paste the following code in it.

import flask from Flask 
import request, jsonify

app = Flask(__name__)
app.config["DEBUG"] = True

tutorials = [
{'id': 0,
'Name': 'ELK Stack Tutorial',
'Link': ''},
{'id': 1,
'Name': 'Tosca Tutorial',
'Link': ''}

@app.route('/', methods=['GET'])
def home():
return 'Welcome to the HKR Trainings'

@app.route('/api/v1/hkr/tutorials', methods=['GET'])
def api_all():
return jsonify(tutorials)

Run the application from your command prompt. Now when you open a browser and run http://localhost:5000. You should be able to see a message that says 'Welcome to the HKR Trainings'. When you navigate to http://localhost:5000/api/v1/hkr/tutorials, you can see the list of tutorials that we have included in the code.

[ Related Article: elk stack tutorial ]

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Flask enhances the development of complex web applications. App routing is the most important part of python flask,as it maps the application to specific functions.We can create APIs for data present in files, databases, etc. Flask provides extensions for Mail,WTF, SQLite, SQLAlchemy,and many more.With flask,we can create web applications very easily without putting much effort.Companies like Netflix, Reddit, MailGui are using flask for building their web applications. 

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As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.