Exploring Python For Mobile App Development: Is It Worth It? App Development
Python is one of the most used programming languages with a vast and robust developer base. As per Statista’s 2024 report, Python is listed among the top five most widely utilized languages globally, with 48% of developers using it. However, according to Emergenresearch, the Python market size globally is anticipated to reach USD 100.6 million in 2030 with a registered revenue CAGR of 44.8%.
Python’s simplicity, readability, and several free Python libraries allow developers to work effectively and productively.
With wide-ranging third-party integration capabilities, Python app development allows rapid digital transformation for your business. A number of developers are using Python to make their mobile apps strong and trustworthy. But the question arises: Why use Python for mobile app development.
Progatix, being a top mobile app development company, will help you in this matter. This blog post will help you learn about whether Python is the right choice for your business and the reasons to build a mobile app using Python.
Is Python Good For Mobile App Development
Python is an interpreter language that is not supported by Android or iOS. You will be required to translate the app before its native deployment. Knowing how easy it is to create and run code on Python, the company built diverse frameworks connecting the original Python object-oriented web framework and the native application needs. It helps offer communication among the Python and Android APIs. Due to these translator gaps, the code is then read by the native app systems.
The following are the points you must look for during mobile app development for cross-platform use of Python native code.
Operating Systems
Android
Things to Consider
- Java is the language used for Android implementation. To create an Android app using Python, you must translate your Python code to Java.
- For this, an inactive output compiler is required.
- This compiler is part of Beeware, the Python GUI framework that enables Python programs to access native components.
- This process now comprises compiling the Python code to CPython bytecode, which then gets converted to Java-based bytecode.
Operating Systems
iOS
Things to Consider
- To build Python iOS apps, the developer will need a macOS-powered device.
- The GUI framework supporting Python programming, in this particular case, is entitled Kivy.
- In this situation, you will have to write code in the context of Python. Use XCode to deploy the program on a macOS machine after translating it to Kivy.
Now that you know whether Python is right for mobile app development or not at this point. Let’s start learning about how to develop a mobile app using Python.
Step-by-Step Guide on How to Develop a Mobile App Using Python
Mobile app development using Python seems to be a complex task. Though, by following the right steps, making an app idea into reality becomes easy for you.
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Strategize the Prerequisites
As per your needs and the app’s end goal, define the prerequisites for the app development. You should know a few of the technologies during the tech stack required to execute and the infrastructure needed for app development.
Having a compatible device for Python is a must, as it will help if you have a mobile phone, either Android or iOS-based, for testing the infrastructure. Build the stimulation setting for Python mobile development. You should also make a project folder to build mobile apps utilizing object-oriented Python programs.
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Prototyping and Wireframing
For Python developers, enabling user movement and interaction with the app interface is a crucial step. Because Python is designed to provide concise and efficient designs, it is simple to create a mobile app prototype using it.
You should start developing the prototype after you have decided how the app will proceed and created the experience plan.
This will make it easier to envision the many screens, the navigation, and the overall flow of the software solution. To begin designing for the Python language, you can utilize the custom UI toolkit.
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Coding with Python
Begin working on the back-end code for the software development using Pyhton’s web-based automation tool. You must develop the mobile solution utilizing the interpreter language to ensure a smooth flow of components between the graphical user interface and the application’s server side. Also, if you are creating an image processing app, you can employ libraries like PyTesseract for Python Imaging Library for object detection.
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Choosing the Framework
A GUI framework will be required to translate the code to native modules. You will choose Kivy for iOS and Beeware for Android development. It is a significant step, and moving forward, you will build an application for a definite framework.
Once you have installed the package for the framework, you will run the code that you have created on the framework.
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Launch the Application
As Python enables a test-driven application setting, you will constantly test the modules. Once tested and optimized, it is time to launch the application to the relevant app stores.
Keep reading to learn about the steps involved in building a mobile app using Python.
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Which are the Top Mobile Apps Built with Python?
Here are all the top app development brands that build apps using different Python frameworks.
|
App |
App Category | Developed In | Use Cases | Revenue | Download |
|---|---|---|---|---|---|
| Social Networking | 2009 |
Pinterest manages content and offers a great user experience using Django and Python. |
$442.6 million | App Store, Play Store | |
| Social Networking | 2010 | Instagram uses Python and Django to manage over 800 million active users monthly. | $6.8 billion | App Store, Play Store | |
| Spotify | Music Streaming | 2006 | Python helps Spotify with advanced data analysis and back-end services such as Discover and Radio. | $6.7 billion | App Store, Play Store |
| Dropbox | Business | 2007 | Dropbox employs Python for cross-platform compatibility and to support numerous functions throughout diverse platforms (Linux, PC, and PlayStation). | $6.7 billion | App Store, Play Store |
| Uber | On-demand | 2009 | Python aids Uber in handling large amounts of data, making the app safe, reliable, and effective for more than 100 million users. | $14.1 billion | App Store, Play Store |
| Forum-based App | 2005 | Python provides Reddit with adaptability in development and huge access to libraries, associating 600 million monthly active users. | $120 million | App Store, Play Store |
Difference between Python and Native App
When developing mobile apps, comprehend the mobile app development process and know why Python is used over the native language Swift. To help you recognize, here are a few differences between Python and Swift that can help you understand better.
Why Choose Swift for App Development?
- General purpose, object-driven, and multi-paradigm language
- Swift is utilized for macOS, tvOS, and iOS devices
- App size is larger in Swift as the programming language is inclined to use diverse components for various requirements.
Why Choose Python for App Development?
- High-level interpreter language employed for general purpose
- Python is utilized for web, DevOps, and now mobile app development for diverse platforms
- The app size is relatively smaller with Python as it considers reusability
Why Choose Python for Mobile App Development?
There is an obvious distinction between native and cross-platform Python application development methodologies. This blog post will go over the primary benefits of using Python over alternative methods. These advantages will guide your decision on the use of Python for mobile app development.
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Exceptional Readability
As a developer, reading or running other developers’ code can get complicated. You must understand the code, recognize it, and then run on the new feature. However, with Python’s easy-to-read code, you won’t experience difficulty testing the code, redesigning the app, or developing new features.
The best programming language gathers dynamic typing and binding, making the whole code simple and readable. As an outcome, whether you are updating the code or redesigning it, you can effectively work without making the code complex.
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High-Level Security
Security flaws are unacceptable when it comes to mobile apps. This is especially true for programs that use highly protected or client data. For the developer, maintaining its security can be a phenomenal task.
Nonetheless, developers can enhance the app’s security due to the encryption, built-in features, and layers offered by Python. When it comes to shortcomings and cyberattacks, the programming language is remarkably durable. Your data is, therefore, protected when using this language.
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Modular Development Approach
Python has been categorized for its modularity, which allows milestones to be accomplished effortlessly within the specified time. It becomes easier when you distribute the whole application into modules and develop them individually. You can divide the diverse app development tasks among the developers, thus making it effortless to create the end product.
High productivity and efficiency would result from using this modular strategy, which eliminates the need for a single person to work on the app development process.
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Brilliant Response Time
When you are fixing bugs, it can take up your productivity all the time. This results in a slowdown in the mobile app development process. However, this is not the case with Python. The interpreter in Python finds the errors fast and reports them timely, allowing developers to fix them right away and resolve the issue. Ultimately, it will enhance the developer’s proficiency.
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Efficient Libraries
Several Python libraries can help you with app development for the mobile market. You do not have to generate the code for the whole app from the beginning. You can fix a few aspects with the best Android libraries effortlessly. However, these libraries have extensive coding that is already accessible, which makes it easier for the developer.
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Easy Integration
One of the major benefits of working with Python is its easy integration ability. It can effortlessly fit into your existing Python applications and even work with the systems, allowing you to extend the system’s ability easily and transform your enterprise with less effort.
When to Choose Python for Mobile App Development
Python is extremely ideal when you are planning to develop Artificial Intelligence (AI) and Machine Learning (ML) based mobile app solutions. Python, which surpasses Java as the most popular programming language, satisfies the requirements of most applications.
The following solutions can be developed with this programming language.
- Cryptocurrency Solutions
- Mobile banking app development
- Algorithmic trading systems
- Finance analytics tools functioning on large datasets
Pros and Cons of App Development with Python
Looking into the pros and cons will always help you decide. Thus, this blog post has mentioned a list of some pros and cons that should be considered when knowing about Python. Let us begin with each one of them.
Pros of Using Python for App Development
- Easy-to-use programming languages
- Great for visualizing reports and data
- Supports and keeps asynchronous code
- Straightforward syntax makes reading language easier
- The simple syntax ensures the lowest learning curve
- Highly adaptable when integrating with other languages
Cons of Using Python for App Development
- A bit slower than other programming languages
- Makes challenging to switch to languages with complex syntax
- GIL (global interpreter lock implements only one thread at a time
- Lacks true multiprocessor support
Top Python Tools for App Development
For Python app development, you will also need the best tools to make your Python app development task effortless. Luckily, it offers a range of online and mobile development tools. Let’s now examine the best tools depending on their features and reviews. You can use this table to determine which tool is the best based on features, ratings, and reviews.
Here’s the information you provided in table form:
| Website | Reviews (G2) | Features |
|---|---|---|
| Django | 4.5 (136 Reviews) | Allows developing mobile & web apps with less code, provides the best documentation, safe and secure |
| Kivy | 4.0 (21 Reviews) | Shorter syntaxes, readable code, ease of creating widgets, multi-touch user controls, custom-built UI toolkit, open source. |
| BeeWare | – | Single codebase for numerous platforms, specialized tools such as Toga and Briefcase, utilizes native user interface |
| Bottle | 4.0 (13 Reviews) | Easy to learn and deploy, perfect for small web applications, quicker than more dominant frameworks |
| Flask | 4.5 (37 Reviews) | Built-in development server and fast debugger, integrated support for unit testing, lightweight and modular design |
| Pyramid | 4.0 (17 Reviews) | Supports URL generation for variations, generates URLs for static resources, supports routes and traversal |
| CherryPy | 3.0 (12 Reviews) | Easy to run multiple HTTP servers, potential configuration system, adaptable plugin system, built-in profiling and testing support |
Python is also used for a number of web development. Here are the top companies that utilize Python for their website.
- Uber
- Spotify
- Netflix
Now that you know about a mobile app development method using Python and instances of the app being developed in Python,
Cost To Build Mobile App Development Using Python
The cost of a mobile app development using Python significantly depends on how the app is built, its compatibility, size, features, and functionalities, as well as front-end and back-end design and several other aspects. The app development for Python costs somewhere around $8000 to $30,000.
The below table will show you the type of application and the cost and time it takes to create one.
Here’s the information you provided in table form:
| Mobile App Development | Estimated Cost | Time Frame |
|---|---|---|
| Basic Mobile App Development | $8,000 – $15,000 | 3 to 6 months |
| Medium-Complex Mobile App Development | $15,000 – $25,000 | 6 to 9 months |
| High-Complex Mobile App Development | $30,000+ | 10+ months |
Why Choose Progatix for Mobile App Development?
Choose Progatix for Python app development using Python to get facilitated by their skills in creating effective, scalable, and safe apps. As a custom software and app development company, Progatix employs frameworks such as Django, Flask, and Kivy to offer personalized, high-quality solutions that cater to your business demands. Emphasizing performance, timely delivery, and cost-effectiveness makes Progatix the right partner for completing your mobile app project.
This blog provides information about the details of using Python to develop mobile apps. Programming languages are the most important consideration when choosing a programming language in today’s digital environment. Python is more effective and adaptable than other well-known languages and offers low-code features, innovative functions, built-in libraries, etc.
If you want to get a successful mobile app development for your business using Python, then connect with Progatix and get an effective and trustworthy mobile application.
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