Though the names are different, these three frameworks FastAPI, Flask, and Django have a common similarity in that is they are web frameworks written using the Python language. These three frameworks have been used by developers for a variety of purposes. The three frameworks have distinct features that serve the best in development. Let us look at how these frameworks differ from each other in this article.
Fast API is a Python-based web framework that enables us to use the REST interface in development. It is a fast and high-performance framework to build APIs with the latest Python 3.6+, created by Sebastian Ramirez. Some of the popular features of the FastAPI include:
Read our article on – Python Basics: Data types
Flask is a Python-based micro web framework for developing web applications. It was created by Armin Ronacher. Since it is a microframework, it doesn’t have particular tools, libraries, or ORM (Object Relational Manager). Flask is a WSGI (webServer Gateway Interface) web application framework and doesn’t have features like template engine, routing, and more. The framework is based on WSGI and the Jinja2 template engine. Some of the notable features of flask include:
Django is also a python based web framework that uses the MTV (Model Template View) architectural pattern. It is an open-source framework developed by Adrian Holovaty and Simon Willison in 2005. The top features of Django include:
Read our article on – Python Basics: Functions and Variable Scopes
We have seen the three frameworks separately and let’s compare them with each other now.
All three frameworks are effective for developing web applications as all the three are python based web frameworks. However, choosing the right one for you is in your hand. If you are looking to develop a full-stack website with high performance and functionalities, you can opt for Django. If you are aiming on developing a prototype for a web application and APIs or someone interested in machine learning, then Flask is ideal for you. FastAPI is suitable for someone who wants to focus on speed and scalability. Otherwise, all the three are good and suit you according to your requirements.
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Python helps in doing a number of things nowadays. Likewise, it establishes its importance in web scrapping. Web scrapping deals with extracting data from the web, manipulating and cleaning the data. This article will help you in learning about Web scrapping and how it is done using Python libraries.
What is Web Scraping?
An automated method that extracts an enormous amount of data from websites called Web Scraping. The data available on the websites are usually in the form of unstructured data. The web scraping method collects them and stores them as structured data. There are many ways to perform web scraping. One of the most popular ways is by using Python.
Read our article on Fast API vs Flask vs Django
Why Web Scraping?
We have seen that collecting a large amount of data from websites is called web scraping. However, why do we have to collect them? What is the purpose of web scraping? Let’s answer these questions below. Here are some of the applications of web scraping:
Is Python Good for Web Scraping?
Among all, Python is good for scraping websites to collect an enormous amount of data. Here are the reasons below.
Read our article on Python Basics: Datatypes
Steps used in Web Scraping:
Developing the code for performing web scraping depends on your style. However, the process while executing the code remains the same for all. Once you run your code, the URL of the website you wanted to scrap receives a request. As a response to it, the server sends back the data and lets you read the website’s HTML or XML code. The HTML code then gets parsed and you can find the data and extract it. Extracting the website’s data involves the following steps:
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Django is an open-source, fully-featured Python-based framework initially released on 21 July 2005 by Django Software Foundation. This framework helps in building complex web apps by following MTV (Model Template Views) architectural patterns. Django primarily focuses on developing complex websites, also ensuring certain features such as reusability, pluggability, less code, less coupling, quicker development, and more. Django also provides an effective interface that allows users to manage admin controls such as create, read, delete and update. Some of the popular sites that utilize the Django framework are Instagram, The Washington Times, Disqus, Nextdoor, PBS (Public Broadcasting Service), Bitbucket, and Mozilla.
In an era where frameworks are abundantly available for web and app development, why does Django stand as an effective choice among the others? There are plenty of answers to this question. Let’s see some of them below.
Django is written in Python, which is a user-friendly and most-readable programmable language that makes it more suitable for web development. Django stands first because of the outstanding features it provides. While developing a website in Django, you don’t need to seek help from external packages or libraries, as working with Django syntax is seamless and makes you feel like using a single framework. Want to add some more features to enhance your website? Of course, you can use a variety of external libraries in Django.
Django’s in-depth documentation provides clear and detailed documentation about every feature of Django with great examples and tutorials.
Got stuck in the middle of your website development? Django provides an excellent community of developers for this, to whom you can ask for help either by document checking or by asking them.
Django Website’s Structure
A single project in Django will be divided into separate apps. Each app on the project manages separate functions of the website. Let’s say, if you are building a social app, it will consist of various functions to perform. It may have different functions like,
Above are the functions used by a typical social media app. If you are building this with Django, each of these functions will be a different app under a single project.
With Django, you can apply some configurations to the whole project. Some of the configurations include project settings, shared templates, URLs, and static files. Each application inside a project has its own database and can manage how the data should be displayed in HTML templates to the user. Apart from this, each application in a single Django project has its URLs, its HTML templates, and static files like JS and CSS.
Each application in Django is structured in a way that should provide a separation of logic. As mentioned earlier, it follows MVC architecture, on which most of the frameworks are developed.
Three files are in each application that controls the separation of logic into three main pieces. They are:
Though Django follows the MVC pattern, some of the properties in its architecture may slightly vary. Django manages the controller part on its own. Interaction between the database and views need not be defined and everything has been done already for you.
To know more about MVC, check out Model-View-Controller (MVC) Explained – With Legos.
The views of the MVT pattern which is used by Django have views and templates. You only need to add the URLs to map the views and Django manages the remaining works. Every Django website has a number of applications for handling separate functionalities and those applications follow the MVT pattern. This is the basic structure of a Django website.
Getting started with our First Django Project
We are going to discuss a simple project with Django. Before that, we have to set up the right plan of what we are going to build. Let’s build an app that has the following features:
Setting Up the Development Environment
It is always better to set up the development environment before starting to build a website. A new directory for the live project can be created by,
$ mkdir rp-portfolio $ cd rp-portfolio
Now you got into the main directory, the next step is to manage dependencies by creating a virtual environment. It can be created by,
$ python3 -m venv venv
Now, a folder called “venv” has been created in the working directory. You can now find several files along with the copy of standard libraries of Python inside the working directory. Whenever you are installing any new dependencies, you can find them to be stored in this working directory. The virtual environment can be activated by,
$ source venv/bin/activate
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to activate the virtual environment.
Now you have activated your virtual environment and the control prompt in the terminal will look like,
Now install Django using pip,
(venv) $ pip install Django
Everything has been set up now, and you can start creating your first-ever project on Django.
Read our article on Data Visualization in Python using Matplotlib
Creating a Project
As we know, a Django app consists of a project and the constituent apps associated with it. After the successful creation of your virtual environment, run the command for project creation,
$ django-admin startproject personal_portfolio