Thinking about app development? Well, python programming language is easy to learn.
Whether you are a novice or expert developer, python programming language allows you to work quickly and more effectively.
Python app development is increasingly becoming popular, Stack overflow has rated Python as the most rapidly growing app development programming language in the digital technology space.
Python app developers are in high demand due to adaptability and high-level reliability when it comes to facilitating mobile app development automation.
In this article, the Nairobi Tribune has explored Python app development and everything you need to know about its uses to develop mobile applications.
Python App Development
Python programming language makes it versatile in the development of:
- Banking software like mobile banking applications
- Cryptocurrency mining systems
- Quantitative financial analysis datasets
- Algorithmic transaction systems
Python programming language meets the major needs of many applications and solve widespread day-to-day critical issues.
This has made python the most sought-after technology by high profile software and tech industries.
Uses of Python
- Web and Software Development
Python has an easy-to-understand coding language that simplifies the development of web and software processes.
Its compatibility and swift integration with other programming languages make it more flexible and the most efficient option for developing software platforms.
Creating web applications from scratch has been made easier for developers looking to create software applications using Python assisted by operative structures like Pyramid or Django.
Additionally, Python’s standard library supports multiple micro-frameworks including different internet protocols like HTML, XML, and JSON.
- Image Processing and OCR
Python programming language projects an excellent precision when it comes to object detection and image processing capabilities.
With the support of numerous Python libraries including the Python Imaging Library for processing images, TensorFlow for detecting objects, and PyTesseract for Optical Character Recognition (OCR).
Python has become extremely effective for developers creating sustainable apps with intelligent learning qualities.
The Tensorflow also provides an open-source free to use library for programming differential dataflow and developing dynamic neural networks.
- Automated Testing
Automated testing refers to executing apps by use of a script rather than manual. Python and Selenium offer a wide range of libraries and web-based automation tools better known as Continuous Deployment and Continuous Integration tools.
These tools can spread scripts across diverse environments, creating a robust regression with browser-based automation providing a dynamic platform for running application tests before compiling, publishing, and finally deploying the apps for production.
- Web Crawlers
Also referred to as Spiderbot, Web Crawlers are mainly used for duplication of the entire visited pages on the internet for thorough indexing by the search engine. These indexes the downloaded pages for delivering quick searches.
Python is the widely preferred language for developing Spiderbots due to its simpler coding and accessible exemplary libraries.
Python and Enterprise Applications
Due to its simplicity, Python is a perfect language for developing user-friendly e-commerce transaction apps.
Its excellent readability translates into faster development in the mobile market platforms where marketing time is considered a priority in gaining and retaining the marketing share index.
Odoo is one of the popular e-commerce enterprise apps developed with Python.
Python is also perfect for facilitating the interaction of developers with the operating system where Python is currently running, which permits easier writing and reading into the business application file system.
This has made python the most sought-after technology by high profile software and tech developers.
Why Python?
- Python is the most convenient programming language for connecting businesses and developers.
- Python is the most popular and easier-to-understand coding language.
- Python programs are easily marketable compared to other languages.
- Numerous community support resources are available for Python developers.
- Almost all types of essential applications from analytical forecasting to User Interface (UI) can be developed using Python.
- Python is an object-focused programming language used in scripting functional code too.
- Python apps do not require the declaration of variable types hence easier to implement.
Why not Python
- Python is unsuitable for hardware interactions and low-profile systems.
- Python does not have advanced statistical features.
- The syntactical constraint white-space makes Python moderately complex for new coders to implement.
- Python lacks Just In Time optimizers which makes it significantly slower than C++, Java, and C.
Conclusion
When it comes to mobile app development, Python offers an excellent library that offers everything a developer might need and more. Besides, Python is super-fast which saves remarkable time and money.
By using Python, it is possible to integrate flexibility, versatility, and ease of use in the app development process. Python programming language offers a possibility to develop an extensive range of applications.
However, it’s important to note that neither Android nor iOS can run Python natively, that’s why different frameworks have stepped in to close the gap and enable mobile devices to support Python apps with a native outlook.
