Should I use Flask or Django FOR REST API?

Django and Flask have setbacks and positive features in the REST API field. What are they? Django Django is a noncommercial open-source web development framework based on Python programming language. It was created in 2003 and quickly became famous for its robustness and straightforward nature. Nowadays, it is used by many tech companies — YouTube and Instagram are among them. Pros Efficient code allows adding new features and functionalities quickly; Django REST framework, a flexible toolkit for building web APIs; Emphasized security with defense against cross-site forgeries. Cons Too many reusable modules and sporadic incompatibility of new releases with previous versions; Less flexibility in Django ORM created before SQLAlchemy. Flask Flask is one more Python-based framework. It is a micro web framework, so its setup is easy and can be used for minimalistic web apps. Pros Flexibility, compactness, and possibility to change most Flask parts (unlike in other frameworks); Possibility of unit testing; Simplicity, the network is very beginner-friendly. Cons Modules (a part of Flask) is a third-party involvement prone to security breaches; Regardless of the number of requests, Flask handles them one at a time, and it’s relatively slow. Make your mind, and choose your fighter!

How do I create a RESTful API in Python?

Creating a REST API in Python isn’t as complicated as it might seem initially. Ugur Cekmez, the author of the article for which this FAQ is written, describes the principal steps and explains the code chunks very clearly. Here, it’s possible to provide some hints — at least with a list of the key process points. Download Python (it’s free); Install Flask; Create a directory for your Flask apps — here, you will store the code; Activate a virtual environment; Create the list endpoint; Create the detailed endpoint; Add filters to the list endpoint; Build a create endpoint; Create the update endpoint; Create the delete record endpoint.

How to write a Unit Test code for your REST API?

Here’s one of the many examples of a Unit Test code for your REST API — of course, there can be many variations. from run import app import unittest class FlaskTest(unittest.TestCase): #Check if the response code is 200 def test_inde(self): tester = app.test_client(self) #tester object response = tester.get("/") statuscode = response.status_code self.assertEqual(statuscode, 200) #check if the returned content is a JSON application def test_index_content(self): tester = app.test_client(self) response = tester.get("/") self.assertEqual(response.content_type, "application/json") #check the data your app returns def test_index_data(self): tester = app.test_client(self) response = tester.get("/") self.assertTrue(b'Message' in response.data) if __name__ == '__main__': unittest.main()

How do I authenticate the API key in Python?

To authenticate your API key, send a POST request to the /session/route with your API key in the X-IG-API-KEY header. You will need to give your username and password there. They will provide you security tokens for subsequent requests if both are valid. If the API’s version is 1 or 2, you can include an additional field, encryptedPassword, but it should satisfy IG Singapore login restrictions.

Uğur
Çekmez

Experienced Research Scientist with a demonstrated history of working in the information technology and defense industry. Skilled in Python and node.js. Strong engineering professional with MSc and Ph.D and focused in Computer Engineering from Turkish Air Force Academy, TUBITAK and SIEMENS, TRT and Chooch AI. Experienced at Data Intelligence, Deep Learning techniques, Container Technology and CI/CD pipeline.

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How to create a secure REST API in Python?

In this article, I’d like to show you how to create a secure Python REST API for using users’ camera hardware to detect people in the pictures and make something cool with those people’s cutouts.

Sep 27 6 min read

Uğur Çekmez

How to create a secure REST API in Python?

Uğur
Çekmez