The Future of Python App Development: What You Need to Know in 2022

July 11, 2022

mobile application in python

Artificial intelligence, smartphones, supercomputers, and other technological advancements like these are driving daily technological advancement. Using such technology, developers may create various mobile applications and programs by leveraging programming languages. Python programming language is one of these that is used the most.

Programming with Python is popular among developers. It defeated Java, the first coding language, and was named the top programming language in 2019. Python is well-liked for being simple and readable, contributing to quicker development.

mobile application in Python

Python programming language can be used for mobile application development, web development, scientific computing, data analysis, and more. But what will the future of Python app development look like? This blog post will discuss the future of Python application development and what you need to know to stay ahead of the curve!

A Quick Primer on Python

Python is a commonly-used programming language and is now the most popular one worldwide. Python app development has thus become the most lucrative industry for Python developers. Developers can write code in this open-source language for a variety of activities.

Python is well-liked for being simple and readable, contributing to quicker development.

Python mobile app development

Because of the simpler syntax, developers can quickly learn to write code. This frequently makes the programming language that new developers are advised to learn. Additionally, it can be integrated with other programming languages and is suitable for large data.

Types of Apps That Can Be Developed in Python

You can use Python to develop various sorts of web apps. You may check out a few below:

Audio and Video Apps

Python app development helps you create audio and video apps for music and other purposes. Python is a programming language that we may use to investigate online audio and video content. Python modules like OpenCV and PyDub help to finish the app development process effectively.

Game App Development

Python has been used to create several games, including Battlefield 2 and EVE Online. With the aid of the Panda 3D game engine, whose game programming language is Python, the Pirates of the Caribbean video game was created.

developing mobile apps

Python is used throughout Battlefield 2 for all features and add-ons. The World of Tanks video game also utilizes it for a number of its features.

Swift game prototypes are created by developers, who then test them in real-time using Python and Pygame. Additionally, Python can be used to create tools for building levels and dialog trees in games that help with development.

Blockchain Applications

Blockchain, one of the most common technological innovations, is currently dominating the market. Blockchain development is difficult for developers, but Python makes it easier. It is a simple language that streamlines the creation of blockchain applications.

Developers can interact with the blockchain through the internet using HTTP queries. Additionally, they create endpoints for various blockchain functions using Python frameworks like Flask. With Python, programmers may now execute the programs on numerous computers to create a decentralized network.

Command-Like Apps

Apps for the console and command line are the same. It is computer software run through a shell or the command line and lacks a graphical user interface. Because of its Real-Eval-Print-Loop (REPL) capability, Python is the language that works best for these command-line programs. Its characteristic enables programmers to use the language and spot unusual opportunities.

Python and android API

The top app development companies have access to many free Python libraries because Python is a widely used language, which they may use to create command-line applications.

Machine Learning Apps

Further technological advancement of this decade is machine learning, which uses algorithms to provide data to OS and enable them to reason. Creating machine learning applications was challenging until recently, but Python has made it simpler.

Python has machine learning packages like Pandas and Scikit that are free on the market. It is available for use with a GNU license.

NLP (Natural Language Processing), one of these machine learning techniques, enables a system to comprehend, examine, and modify the human language to optimize the algorithm’s performance.

With a basic understanding of Python, programmers can also create machine learning applications using these useful and highly competent modules.

Business Apps

Python supports pragmatic agility and can create a variety of Python mobile apps. Python, therefore, supports both ERP and eCommerce app development options.

Odoo (all-in-one management software), written in Python, provides a wide selection of business applications, creating a collection of business management apps.

open source Python library

Tryton is a well-known business app created in Python with three levels of high-level, all-purpose functionality. Python makes designing this application simple, which is why leading app development firms use it.

System Administration Apps

Because there are hundreds of tasks to accomplish and a large amount of data to maintain, system administration can become highly tedious. Applications for system administration can save the management in this situation.

Python’s ‘os’ module allows programmers to communicate with the operating system, making it ideal for creating system administration applications.

It also makes it simpler for programmers to communicate with the operating system that Python is currently running on. The language includes simple reading and writing to the file system, making every IO action accessible.

Mobile Applications That Use Python

  • Instagram: The most prominent example of a scalable mobile app created with Python is Instagram. The app has revolutionized digital photography, boasting 400 million daily active users.
  • Pinterest: Users can favorite images, gather them, and share them with others on Pinterest, the third-largest social network after Facebook and Twitter. Pinterest, one of the most widely used web apps, processes massive volumes of content efficiently using Python and Django. Python has been utilized in this program since day one.
  • Disqus: Disqus is a straightforward and efficient approach to monitoring comments, drawing viewers, and encouraging discussion while managing the content they see. This software offers a variety of sign-in options and cross-site notifications to accommodate users of diverse tastes. In this instance, Python uses Django’s security features and updates.
  • Spotify: With more than €4 billion in yearly sales, Spotify is the biggest streaming service in the world. It indicates that the business is a market leader and one of the best Python applications. They selected Python for mobile app development due to its speed and sophisticated data analysis. Based on the user’s musical interests, it enables Spotify to handle features like Radio and Discover.

Uses of Python

Web and Software Development

Python code is a simple-to-understand computer language that makes building mobile apps and websites easier. Any Python web development company will attest that its ease of integration and interoperability with other programming languages increase its flexibility for creating software platforms.

Python mobile development

Python, which functional structures like Pyramid or Django can aid, has enabled it to create web applications from scratch. Python’s standard library also supports a variety of micro-frameworks, including several internet protocols like HTML, XML, and JSON, greatly simplifying the process of developing apps and websites.

Image Processing and Ocr

The Python programming language’s object detection and image processing capabilities are precise. With the help of different Python libraries, such as PyTesseract for Optical Character Recognition (OCR), TensorFlow for object detection, and the Python Imaging Library, Python has become a very powerful tool for app developers building long-lasting applications with intelligent learning capabilities.

Additionally, Tensorflow offers a free, open-source toolkit that may be used to design differential data flow and create dynamic neural networks.

Automated Testing

Automated testing is the practice of running apps through a script rather than by hand. Several libraries and web-based automation solutions, called Continuous Deployment and Continuous Integration technologies, are available in Python with Selenium.

Python mobile app

With the help of these tools, a robust regression with browser-based automation may be created by spreading scripts over many settings. This offers a dynamic environment for testing, compiling, publishing, and ultimately deploying production applications.

Web Crawlers

Web crawlers, often known as Spiderbots, are mostly employed to duplicate the entirety of previously seen websites so that the search engine may thoroughly index them. These downloaded pages that have been indexed help to speed up searches.

Python’s straightforward coding, comprehensive Python vocabulary, and readily available libraries make it the chosen language for creating Spiderbots.

Python and Enterprise Applications

Python language is the ideal computer program for creating user-friendly e-commerce transaction apps because of its simplicity. Because of its outstanding readability, it will develop more quickly on mobile market platforms where marketing time is prioritized to increase and maintain the marketing share index.

mobile devices

One of the well-known enterprise e-commerce Python apps is Odoo. Python is also ideal for making it easier for developers to communicate with the operating system on which the language is currently being used. This makes writing and reading from the system of business application files simpler.

Python’s straightforward coding, comprehensive Python vocabulary, and readily available libraries make it the chosen language for creating Spiderbots.

Most Demanding Python Frameworks for App Development

The following list includes the top frameworks used in the Python mobile app development:

Kivy vs. BeeWare

In the past, Python language did not excel at creating custom mobile applications for Android and iOS, but things have changed. Before recently, Python lacked a compelling narrative for creating the GUI for mobile applications.

Python GUI frameworks

Creating mobile applications for iOS and Android was essentially impossible with just Python. Many advancements in Python development over the past few years have improved Python’s potential as a language for developing mobile applications.

Here are some of the most recent Python-based choices for creating custom mobile applications. The BeeWare project and Kivy are the two major frameworks to single out especially.

Beeware Project – Native Python Mobile Applications

The second graphical UI and Python mobile app development framework is called BeeWare. It offers you practical tools and an abstract layer so you can use Python to create unique desktop and mobile applications.

BeeWare programs use the native UI toolkit for all platforms significantly sets them apart from Kivy. Kivy, on the other hand, employs a unique user interface toolkit that employs the same controls across all platforms.

Checkboxes, buttons, and form components from the operating system’s foundation serve as the widgets in the BeeWare tool that govern your mobile app. As a result, you can design mobile applications for each mobile (and desktop) platform that feel and look unique.

The BeeWare project is quite young and is now being developed by Pythonista Russell Keith-Magee, one of the main difficulties of utilizing this technology.

Due to a lack of features, API updates, and faults, as with other frameworks that haven’t had time to mature, using one would mean additional work for you as a mobile app development firm.

KIVY – Cross-Platform Python GUIs

Python’s open-source Kivy package allows for creating GUIs for mobile apps on various platforms. It lets programmers create purely graphical Python apps that work on all major operating systems, including Linux, macOS, Windows, iOS, and Android.

You want to know how a new toolkit for graphical user interfaces seems “genuine” whenever you learn about one. The large visual user interface program should use the platform it is running on. For example, if you use an iPhone, you anticipate consistency in your mobile apps. Using a mobile app with a UI inspired by another platform raises many questions.

development process

Kivy has a unique user interface toolkit that includes, to mention a few, its versions of buttons, text entry forms, and text stickers. The native user interface controls are not used to represent the tools. It has benefits and drawbacks.

On the other hand, the tool ensures that your mobile application in Python is consistent and applicable across all platforms. The Android mobile app won’t appear or sound like an Android app.

The Future of Python Programming

You know Python’s promising future, whether a Ruby on Rails developer or a Python programmer. Some programmers predict that it will be at the C level!

It can be hard to imagine, but organizations providing full-stack application development services are aligned. The main driver of its development is data science.

The toolbox for creating AI and ML apps is available in Python. Data sets can be easily analyzed by scientists using Python-based algorithms. There are innumerable libraries for statistical computation, data analysis, and every other component of AI. Several Python-compatible libraries are GraphLab Create, PyBrain, Pynn, Query, MDP ToolKit, and PyBrain.

Python empowers programmers to create the web applications and machines of the future. The code is used to develop sophisticated algorithms that turn simple lines of text into useful programs. You can begin working on your Python project right now by hiring web application development services.

The programming language is the one that businesses like Google, Netflix, Apple, etc., choose to use. Make your business one of those by developing a robust Python application. However, the following are the factors that contribute to Python’s popularity.


There are no usage restrictions on the open-source programming language Python. It can be used to write codes by anyone online. Any business or programmer on a tight budget can use it. Additionally, open-source codes are available for general usage on the internet.

Suitable for Both Back-End and Front-End Development

This general-purpose language supports the front-end and back-end. Although Python is more suited for the back-end, many projects actively use its frameworks, such as Django, for both front-end and back-end development. You will save time and energy by working with reputable Python experts to complete your project.

Cross-Platform Language

Python’s versatility for cross-platform software development is a significant advantage as well. You can create computer programs that work flawlessly on every operating system. Another benefit is that it has a specific property that makes it simple to interpret. The code can be used with any number of operating systems after being written just once.

Supportive Community

Writing code free of defects is challenging for everyone working with programming. Unlike the majority of programming languages, Python has support. It offers a vast, active, and dependable community and a system of assistance for developers on a global scale.

You can find plenty of assistance for fixing your coding problems, even if you are a beginner. With such a community, creating a Python project is simple.

Library Support

You can get assistance outside of the online community as well. The extensive libraries are a great place for developers to explore the solutions to their problems. Python offers libraries for everything, including tools for online services, statistics, and OS interfaces.

Python for mobile

They make it simple to add functionality to your online apps. Python-based apps use a variety of plugins, so you don’t have to write new code from scratch. Applications can be scaled through Python libraries. Because the code is reusable for other applications, much time is saved.

Less Code

Compared to other programming languages, it is simple to use and write codes. Python is user-friendly for beginners and is suited for various applications, from games to the web. Without any rigid rules, its syntax is simple and intuitive. Python is the most sought-after language for software development, according to data.

Cutting-Edge Technologies

The top-notch technology Python offers are a significant benefit as well. They consist of Big Data, Machine Learning, Artificial Intelligence, etc.

object oriented Python programs

It is predicted that all of these technologies will succeed greatly. It guarantees that Python programming has a bright future from various angles.

Conclusion: The Future of Python App Development

The most malleable programming language in the world today is Python.

cross platform Python framework

Compared to other programming languages, it is simple to use and write codes. Python is user-friendly for beginners and is suited for various applications, from games to the web.

Now that there are resources and tools for developing Python apps, your project can benefit from its simplicity, variety, and flexibility in developing mobile apps. It is quick and could help you save both time and money.

About the author: Joe Silk -

Joseph is a freelance writer who focuses on sharing our Startup Oasis team's abundant knowledge with the rest of the world. Our team has no secret for anything to do with Startups, SaaS software firms, technology, Web and mobile apps, IoT, UI/UX Design. View on Linkedin