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Fast API vs Flask vs Django

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.

FastAPI

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:

  • Fast: As the name indicates, Fast API is the very fastest framework in Python with higher performance similar to NodeJS and GO.
  • Faster Coding: Development speed has been increased from 200% to 300%
  • Fewer Bugs: Human-made errors are reduced by 40%. Debugging time is less.
  • Easy and Short: The framework is easy to use and it has less code duplication. So each parameter has multiple features and very few bugs.
  • Robust: It provides automatic interactive documentation along with production-ready code.
  • Standards: The framework is based on the OpenAPI and JSON Schema.
  • Editor support: FastAPI is intuitive to use and the feature “Autocompletion” remains a favorite for all.

Pros:

  • FastAPI offers validation of the developer’s data types and the deeply nested JSON requests.
  • FastAPI has been developed using standards such as OAuth 2.0, JSON Schema, and OpenAPI.
  • Building GraphQLAPI with graphene-python, a python library is easy using FastAPI.

Cons:

  • It has a small community and lesser educational resources, as it newly emerges.

Read our article on – Python Basics: Data types

Flask

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:

  • Pythonic: Flask is entirely based on Python and very easy to get started with.
  • Simple: Since Flask is a micro-framework, it is very simple and also extensible.
  • Updated: Flask is a modern framework and its features are up-to-date.
  • Readability: The framework is very explicit and it has better readability.
  • Less complexity: You can save your program on multiple files, reducing the complexity.

Pros:

  • Flask is more comfortable and flexible for the developers to use.
  • Unit testing is possible with Flask. It enables you to tweak extensions and transit to a web framework.
  • Flask is very simple and beginner-friendly.
  • It lets you create apps faster and with minimal effort.

Cons:

  • Security is a concern here as it uses modules that cause third-party involvement.
  • Flask has a single source and multiple requests take time as it processes them one after the other.

Django

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:

  • Well documented: It is a well-established framework for the developers as it provides excellent documentation.
  • Python-based: Since it is python based, Django is simple and easy to use.
  • SEO Optimized: Django helps in maintaining the website through URLs which makes it efficient and easy for SEO engineers.
  • Scalability: The level of implementation using Django is high. It helps in creating applications with greater precision and error-free.
  • Security: Django provides security with expertise level of code.

Pros:

  • The code structure of Django is efficient and using this, it is very easy to infuse more functionalities into the websites for the developers.
  • Django is more flexible as it uses the Rest framework called Django Rest Framework (DRF).
  • With Django, it is easy to build web APIs since it has a customizable and modular architecture.
  • Django ensures security by protecting against joint SQL injection and forgery attacks from cross-site requests.

Cons:

  • With Django, the speed is limited because of more reusable modules.

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.

Features

  • FastAPI
    • Packages – Minimalistic framework that doesn’t have reusability enabling packages.
    • Community – Has small community
    • Performance – High performant and faster
    • Job Openings – Fewer opportunities
    • Education – Easiest to learn but has very few online resources
  • Flask
    • Packages – Minimalistic framework that doesn’t have reusability enabling packages.
    • Community – Has a moderate, thriving community
    • Performance – Moderate in speed
    • Job Openings – Moderate
    • Education – Easy to learn and has many online materials.
  • Django
    • Packages – Full-stack web development framework that has reusability enabling packages.
    • Community – Has the most significant community.
    • Performance – Not so fast
    • Job Openings – More opportunities for job
    • Education – Learning Django is a bit harder but has many online resources available.

Conclusion

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.

“We transform your idea into reality, reach out to us to discuss it.

Or wanna join our cool team email us at hr@startxlabs.com or see careers at Startxlabs.”

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Web Scraping using Python – A Beginner’s Guide

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:

  • Social media analysis: Social media like Facebook, Twitter, and Instagram handle loads and loads of trending data every day. Web scraping these social media websites reveals data about the latest information such as trending topics, sentiments, and more.
  • Price Comparison on eCommerce: eCommerce sellers usually have different prices at different marketplaces. Using web scraping they can compare pricing on multiple platforms and analyze the places for getting higher profit.
  • Real Estate Investment: Web scraping helps real estate investors to analyze different marketplaces by getting valuable information from websites such as high-rated areas, attractive renting options, and more.
  • Machine Learning: Machine Learning needs enormous data to learn and improve. Web scraping helps in collecting many texts, images, and data points quickly and that can be used in improving reliability and accuracy in machine learning.
  • Email address collection: Email marketing is one of the most used forms of marketing by many companies. Using scraping, they collect a large number of email addresses and use them for sending bulk emails for marketing purposes.
  • Job listings: Job update information such as job openings, interviews, and dates are collected from various websites and listed in a single place. Users can easily browse all information about job updates in one place.

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.

  • Simplicity: As we know, Python is the easiest and simplest language to code. No need to use curly braces, semicolons and no need to declare data types which makes the code appear clearer and saves time.
  • Huge libraries: There are plenty of libraries available in Python such as Panda, Numpy, Matplotlib, and more. Due to the large availability of libraries, web scraping is easy for data extraction and manipulation using Python.
  • Easy syntax: Since Python is a high-level language, it is easily readable and the syntax is easily understandable. You can write smaller code for performing larger tasks.
  • Larger Community: Python community is one of the largest and you can seek help from it whenever you face issues while writing code.

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:

  • You have to find the exact URL of the website you wanted to scrap.
  • Inspect the page.
  • Find the data you wanted to scrap from the page.
  • Write the code accordingly.
  • Now, run the code and scrap the data.
  • Store the extracted data in the format you require.

“We transform your idea into reality, reach out to us to discuss it.

Or wanna join our cool team email us at hr@startxlabs.com or see careers at Startxlabs.”

 

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Django Basics and Structure

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.

Why Django?

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,

  • User Control: User-specific functionalities such as sign in, sign out, register, and more.
  • Feed Control: Feed related functions such as posting, displaying, commenting
  • Messaging: Private messages and notifications.

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:

  • Model: It defines the data structure. It is the base layer and is the database of an application.
  • View: It displays the data with HTML and CSS to the users.
  • Controller: It controls how the view and database interact.

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:

  • Blog: A simple application can be created that lets you create, delete, sort, and update blog posts. Users can also comment on the blog posts.
  • Portfolio: You can also showcase your works like your previous projects and more.

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

Users who don’t use bash shell need a comment

C:\> venv\Scripts\activate.bat

to activate the virtual environment.

Now you have activated your virtual environment and the control prompt in the terminal will look like,

(venv) $

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