As technology is improving every day, Artificial Intelligence, Smartphones, Supercomputers, etc., are leading to constant upgradation. We can use such technologies to develop various mobile apps and programs utilizing programming languages. One of the most popular languages among these is Python.
Python programming language is common among developers. In 2019, it was declared as the leading programming language, defeating the original coding language, Java. It has supported the entire mobile app development process and won the title as mentioned above.
Today, in this post, we will talk about Python, its use in mobile app development, use cases, tools, and many more.
Why Python For Mobile App Development?
Python is widely accepted for its ease of use and readability that assist in translating into faster development. It’s best for the mobile market where time to market is essential to gain and keep market share. On the contrary, neither iOS nor Android supports the interpreted languages. It states that they are unable to run Python apps natively. And here, varied frameworks come forward that bridge the gap to permit Python apps to run on mobile devices with a native look and feel.
Is Python Suitable For Enterprise Applications?
Python is known to be a perfect choice when we need to develop eCommerce business apps. Tryton and Odoo are the two most popular enterprise applications that are created with Python.
What Are Use Cases Of Python?
Let’s check out different fields where you can use Python:
Web & Software Development
Python comes with a simple and easy-to-understand code, which leads to a more efficient process. Its compatibility of integrating with other languages makes Python a better option.
Frameworks such as Pyramind and Django help developers in software development using Python and build web apps from scratch. The standard Python library also supports many internet protocols, such as JSON, XML, and HTML.
When it comes to Automated Testing, many users opt for Python as it prefers executing the apps’ features using a script, not manually. So, Selenium (a web-based automation tool) and Python provide various tools and libraries to conduct automated tests. Besides, they are also known as Continuous Integration and Continuous Deployment (CI/CD) tools. They hold the caliber to run the tests, compile and then publish apps, and at last deploy them into the production.
Image Processing & OCR
Python Programming Language comes with an outstanding caliber of image processing and object detection. Python holds various libraries, such as PyTesseract for Python Imaging Library (PIL), OCR (Optical Character Recognition), and TensorFlow for object detection. That’s why Python has become highly efficient for developers for developing mobile apps with computer vision strength and self-contained deep learning.
Also known as Spiderbot, web crawlers are generally used for duplicating all the world wide web’s visited pages for the last preparation all through a search engine. Moreover, it indexes the downloaded pages to deliver fast searches.
Crawlers are utilized to automate the maintenance jobs on a site. For example, it checks the links and validates HTML code.
Python is best for crafting such Spiderbots because of its short and simple code, along with the availability of excellent libraries.
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Popular Python Tools For App Development
Let’s check out the top Phyton tools that you can use for application development.
In Python, a high-level, open-source web framework, Django, motivates fast development and pragmatic, straightforward design. Additionally, it is used for backend web apps that are based on Python language. Django is crafted to assist users in taking apps from the concept to completion quickly. Furthermore, this tool takes security seriously and helps the developers to avoid many common security slips.
A small and fast web framework for Python 2 and 3, Pyramid is crafted to develop web apps quickly. In addition, it offers just the core tools required for approximately all the web applications: mapping URLs of code, serving static assets, and security. Besides, Pyramid motivates standard Python development practices with the virtual environments, packaging tools, logging, and more.
A collection of libraries and tools, BeeWare is used for developing and distributing the native apps in Python. The suite of libraries and tools performs together to assist a developer write the cross-platform native GUI Python applications. Additionally, BeeWare comes with the Toga, an OS native, Python native, and cross-platform GUI toolkit. Additionally, Rubicon Java is a library for working with Java libraries using Python code. A Briefcase is a tool used for packaging the Python projects as the distributable artifacts that we can ship to the end-users. Moreover, pre-compiled builds of Python are used on platforms where the official Python installers are not available. Rubicon ObjC is a library tool for performing with Objective C libraries on macOS and iOS using Python code.
A high-performing, reliable Python web framework, Falcon is used for developing large-scale application backends and microservices. Falcon applications perform with any ASGI or WSGI server and run under yPy version 3.5+ and CPython version 3.5+. Moreover, it holds an extensible codebase and is highly optimized. Falcon conducts intuitive routing via REST-inspired resource classes, URI templates, etc. Besides, it offers easy access to the headers and bodies all through the request and response classes. Falcon permits snappy unit testing all through WSGI helpers. It conducts DRY request processing through middleware components and hooks.
An open-source Python library for the fast development of apps, Kivy uses innovative UI, like multi-touch apps. It is GPU-accelerated, cross-platform, and business-friendly. This framework depends on various Python libraries, like PIL, GStreamer, Cairo, and others.
An object-oriented web framework in Python is CherryPy. It permits the users to craft web apps similarly to build any other object-oriented Python programs. Additionally, this tool is easy to run various HTTP servers at once only. It is also known for its flexible plugin system. Furthermore, it comes with built-in tools for encoding, caching, authentication, static content, sessions, and many more. Besides, CherryPy comes with in-built coverage, profiling, and testing support. It runs on Python 2.7+, 3.5+, Android, PyPy, and Jython.
One of the widely used Python web development frameworks, Flask is a lightweight WSGI web app framework. It is crafted with the caliber to scale up to complex apps. Besides, it provides suggestions but doesn’t demand any project layout or dependencies.
Also Read: Tech Stack For Developing A Mobile App
What Types Of Apps Can You Develop Using Python?
We can use Python for developing various sorts of apps. Let’s check out a few below:
Audio And Video Apps
Python app development assists you in creating music and other sorts of audio and video apps. We can use Python to explore audio and video content that is available on the internet. Python libraries, such as OpenCV and PyDub, assist in completing the app development successfully.
Game App Development
Various games, such as Battlefield 2 and EVE Online, have been developed using Python. Disney’s Pirates of the Caribbean game was written with the help of Panda 3D game engine, whose game development language is also Python. Battlefield 2 uses Python for all its functionalities and add-ons. Additionally, the World of Tanks game also uses it for its various features.
Developers crafts a swift game prototype and use Python and Pygame to test them in real-time. Also, you can utilize Python to develop game designing tools that assist in the development process, namely level designing and crafting dialog trees.
One of the widely-used technology trends, Blockchain, is just ruling the market. Developers find blockchain development quite challenging, but Python helps them easing it. It’s an easy-to-understand language and makes the blockchain apps building process seamless.
Developers hold the caliber to use HTTP requests to interact with the blockchain over the Internet. Besides, they craft endpoints for different functions of blockchain by using Python frameworks, such as Flask. Now, developers can also run the scripts on various machines to develop a decentralized network, all with the help of Python.
Command-line apps and console apps are the same. It’s a computer program utilized from the command line or a shell and doesn’t hold any graphical user interface. Python is a best-suitable language for such command-line apps because of its Real-Eval-Print-Loop (REPL) feature. Its feature allows the developers to use the language and identify unique possibilities.
As python is a leading language globally, the top app development brands hold access to many free Python libraries that they can utilize to craft command-line apps.
Machine Learning Apps
One more tech trend of this decade, Machine Learning development, is an algorithm technology that offers data to operating systems and allows them to make intelligent decisions. Developing machine learning apps was quite a tricky job earlier, but it has now become easier with the help of Python.
Python holds the libraries, such as Pandas and Scikit for machine learning, available at free of cost in the market. You can utilize it under a GNU license.
One of such machine learning, NLP (Natural Language Processing), allows a system to understand, analyze, and manipulate human language to make the algorithm perform at its best. Developers can also build machine learning apps with these practical and highly competent libraries with basic knowledge of Python.
Python backs practical agility and holds the caliber to develop various sorts of apps. That’s why Python also helps in eCommerce app development solutions and also ERP.
Written in Python, Odoo (all-in-one management software) offers a broad range of business applications, crafting a suite of business management apps. One popular business app, Tryton, developed with Python, is a three-tier high-level, general-purpose app. It’s easy to create such applications using Python; that’s why top app development companies pick it.
System Administration Apps
The system administration can become very tedious because it demands thousands of jobs to complete and a considerable amount of data to manage. System administration applications are a savior here for the management.
Python is perfect for developing system administration apps as it permits the developers to interact with the operating system through the ‘os’ module. Additionally, it facilitates the developers to interface with the operating system where Python currently runs. The language makes every IO operation accessible, incorporating easy reading and writing to the file system.
Popular Apps Built Using Python
What’s The Future Of Python?
For 25 years and even more, Python has survived to reach a top level, defeating others, and is known as the fastest-growing language worldwide. Also, it holds a promising future, along with other technologies. Python is the future of the software industry.
Also Read: Best Mobile App Ideas In 2021
Python And Java, Are They Different?
Both the languages hold their good side and wrong side, but chiefly, Java is statistically typed, whereas Python is dynamically typed. They also have similarities, as they adopt an “everything is an object” design, utilize fixed strings along with deep standard libraries, and hold cross-platform support.
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Can Python Replace Java?
According to a latest top programming language Index of a brand, Python is better than C++ and is counted among the top three programming languages today.
Java is gripping the top position, whereas C is at the second position. It’s expected that if Python continues to speed up with this pace, it will soon replace Java and C.
So, after reading this post, you may now trust Python when it comes to mobile app development. It comes with a library which helps in everything that you can imagine.
What’s more, using Python, you can add ease-of-use, versatility, and flexibility to your development process. Python is fast, which saves not only time but also money. You will find a plethora of reasons to choose Python for app development.