Python Flask Interview Questions

1. Python Flask Interview Questions 1. What is Python Flask? Flask is one of the Python frameworks; Armin Ronacher developed a bottle at POCCO. Although Flask is younger than other Python frameworks, it has a great future and seems to have gained popularity among Python web developers. Flask also called micro-framework for Python was designed to be simple to use and extend. The main goal of Flask was to build a solid foundation for web applications of different needs and complexities. Thereafter, users are free to use any extensions they need and want to use. In addition, we are free to build our own modules and Flask is ideal for all these types of projects. It is exceptionally good for prototyping and Flask depends on two external libraries namely the Jinja2 model engine and the other being the Werkzeug WSGI toolbox. Flask is one of the most elegant and feature-rich micro-frames available in Python. Still a whole new framework, Flask can be considered a thriving community, an elegant API and first-class extensions. Flask has all the advantages, which should be in fast models and have strong WSGI functionality; in addition, it has difficult unit testability at the web application level as well as at the library and full documentation level. 2. What are the Features of Flask Python? Flask Python is one of the newest Python frameworks and is used to build web applications for the following functionality: Flask comes with an integrated development server and a fast debugger It also contains the built-in support required for unit testing It has the particularity to distribute requests in a restful way Comes with Jinja2 modeling technique Flask supports secure cookies, i.e. client-side sessions It also has WSGI 1.0 compatible functionality. It is based on Unicode. Python Flask is widely documented.

2. 3. What are the advantages of Flask Python? Flask Python comes with all the benefits of Python and some additional benefits are: The design of the bottles is light and modular. Therefore, it is easy to transform it into applications or Web frameworks when you need very few extensions without weighing too much. Flask is independent of the ORM: that is to say that the user can connect his preferred ORM like SqlAlchemy. The basic API base is very well designed and made consistent. The documentation for the bottle is very complete, full of numerous examples and well structured. Users can even try out some sample apps to really experience Flask. It is very easy to deploy Flask in production because Flask comes with 100% WSGI 1.0 compliant. Flask can easily handle HTTP requests using its features. He is very flexible. Its configuration is even more flexible than that of Django, which offers its users many solutions for each product they need. 4. What is Flask-WTF and what are their functions? Flask-WTF is presented to offer simple integration with WTForms. Features include for Flask WTF are: Provides integration with web forms. Is a very secure form because it comes with a CSRF token. Provides comprehensive CSRF protection. Delivered with international integration. Also includes support for Recaptcha. Contains file download which works closely with Flask downloads. 5. How long can the identifier be in Flask Python? In Flask Python, an identifier can be any length. In addition, there are certain rules that users must follow when naming an identifier. It must start with an underscore or a-Z or a-z. The rest of the identifier name can contain any of the following: A-Z or a-z or 0-9 or _. Flask Python is case sensitive, it will treat the upper and lower case differently. Some words, reserved in Python, are called keywords and cannot be used as identifiers, some are listed below:and, def, false, import, not, true, as, del, finally, in, or, try, assert, else if, for, is, pass, while, break, else, from, lambda, print, with, class, except, global, none, increase, yield, continue, exec, if, not local, return. 6. What are the HTTP methods provided by Python Flask? HTTP methods are used to retrieve data from a URL: GET: GET is the method that sends data to the server unencrypted. HEAD: HEAD is similar to GET, but it has no response body. POST: POST server does not cache HTML form data it sends PUT: This is the method in which the downloaded content replaces the current data representations of the target resources. DELETE: this method deletes the current representations of the target resource suggested by a URL.

3. 7. What do you mean by model engines in Flask Python? When users have created a website, they are often faced with the problem of keeping the website style consistent. Sometimes users have had to write the same text multiple times when trying to change the style of these websites. If the website only has a few pages, the style change will only take users a while, which is doable. However, if they have a lot of pages (for example the list of items sold in a shopping center), this task becomes monotonous and hectic. Using templates, users can define a basic layout for all of their pages and provide which item needs to be changed frequently. That way, users can set their header once and keep it consistent across all pages of their website, and if they need to change their header, they will just have to set it today in one place. Using a template engine will save users a lot of time not only when they create their application, but also when they update and maintain it. 8. What are the main differences between Pyramid and Flask? The bottle can be described as a micro-frame, which is only designed for a small application, which has simpler requirements. In a bottle, users must use external libraries. The bottle is always ready to use. Pyramid, on the other hand, is designed for larger applications because it offers flexibility and allows the developer to use the right features for his project. The developer can choose the database, template style URL structure and more. A pyramid is therefore heavy configurable. 9. Explain how connections to a single database can be requested in Flask? The Flask framework allows its users to request the database in three ways. They are: before_request: These connections are called before making a request and no argument is passed. after_request: These connections are called after making a request and a response is transmitted which will be sent to the client. teardown_request: These connections are called in a situation where an exception is raised and the response is not sure to get. They are also called after the construction of a response. They are not allowed to modify the request and their values can be ignored. 10. Explain that a request context can be created in Flask Python? A request profile in Flask Python can be created in 2 ways: Alone or automatic when the application receives a request from the system. Manually, it's by calling app.test_request_context. 11. Mention how to enable debugging in Flask Python? There are two ways users can enable debugging in Flask. They are: By setting the flag on the applications object. Bypass the flag as a parameter to execute. If the user activates support debugging, the server will reload it when the code changes and the user will not have to restart after each modification to the code. Python Flask is a lightweight web developer framework and high-level Python Web framework. For More Details about Python Flask Online Training. Contact us@ +91 9989971070.