Python is Top of Developers’ Minds, Here Is Why
Python is king. Learn it to run it. From API development to scripting, and data science, Python is now the first choice for most developers. The general-purpose coding language is several times simpler than C and Java.
Surveys position it as the fastest-growing coding language for backend development.
The potential for Python in development exceeds simple scripting. It is possible to create a scalable, secure, and feature-packed mobile application with Python. All that you need is a set of key tools to accelerate the vision for your app.
Why Python is high in demand for app development
Python simplifies the process of app development. Developers using defaultdict in Python can achieve dynamic and high-level data typing. The programming language further makes use of laconic syntax that removes the need to write long codes
For these reasons, many APIs of mobile apps are getting coded in Python. The language can run in all major operating systems. Using frameworks like Flask and Django, you can get simplicity, flexibility, and extensive resources such as db interfaces and libraries for your apps.
The speed in app development using python perfectly meets the world’s ever-increasing demand for new mobile apps. Also, it must be underscored just how Python offers an interactive environment.
A big community of software engineers is behind this programming language. They provide essential support for an expedited python-based mobile app development.
The high-performance nature of this coding language relies on a clean and objects orient design. You can maintain faultless text processing functionalities, and in so doing accelerate time-to-market for your app.
The robustly secure back end nature of Python-based apps makes another strong case for the coding language. Python apps are less vulnerable to cyber-attacks.
Security is further helped with the modular nature of the programming language. From development to deployment, it is easier to write and execute code in a secure environment.
The leading Python frameworks for app development
With TurboGears, you get Web Server Gateway Interface (WSGI) elements such as SQLAlchemy, WebOb, and Repoze, among others.
Django is the top open-source Python platform. Developers across the globe are using to build sophisticated data-driven sites. Django is a mature platform with quality attributes from templates to libraries, and APIs that facilitate secure and scalable development projects.
Instagram, Interest, and Nextdoor are some of the famous sites that use this Python framework.
This is a micro web framework that removes the need for libraries. The Python framework has built-in support for unit testing and server development. It supports RESTful requests and has many configurations and default templates for beginners.
Numpy is a package for scientific computing activities. It features numerical tools such as random number generators and multidimensional arrays. You get the speed of Python and the flexibility of compiled code.
Falcon is another top-recommended Python framework for developing small apps and back end. You can build speedy HTTP APIs and app backends utilizing the REST architectural style and several templates and add-ons.
Matplotlib is Python’s plotting library featuring object-oriented API. It makes it a cinch to embed plots into applications. You can make 2 d charts, error charts, and histograms, among others, with a python script.
Leveraging the Pyplot module, you will have access to extensive attributes such as color line styles, font properties, and formatting axes.
Pandas is an open-source Python data analysis tool. You get easy to use data structures and analytics tools for app development. Pandas are mostly used when developing analytics solutions for commercial and financial domains.
Web2pgt is an open-source full-stack framework written in Python. It has an SQL database, web interfaces, and multithreaded web servers. You also get a code editor and debugger and other deployment tools.
With CherryPy enables you can integrate the CRUD (Create, Retrieve, Update, and Delete) functionalities in your applications. Apps built with CherryPy feature an adaptable plug-in, built-in profiling, testing support, and they can run on multiple HTTP servers.
Use cases of Python in app development
ML and AI-based apps
Machine learning and artificial intelligence solutions are the new drivers of the business. From insight to automation and quality control, there are limitless uses of AI-ML based apps. IBM, one of the leading companies in these solutions, makes heavy use of Python in the building of the apps.
App extensions and customizations
Even if you are not building an app from scratch with Python, you can still utilize it for customizations and extensions. That’s especially critical for analytics and enterprise solutions that may need personalized configurations for high user adoption and maximum business value.
Python has a robust integration with Java, C, and C++, making it a handy solution to application scripting. That makes it possible to make speedy app customizations for your use cases.
Mobile game apps
Python is the new trend in mobile app development. App developers can adapt it for free, and the process of making apps, as mentioned before, is faster with fewer lines of code.
It is possible to build advanced multiplatform game apps using this language. It works great for animations and graphics and image enhancement with GPU acceleration.
Examples of popular apps built with Python
Instagram is one of the leading apps built with Python. The app has taken digital photography to a new level with high accessibility and responsiveness.
Instagram has the largest deployment of the Django framework in the world. The app makes a convincing case for mobile app developers to switch over to Python.
Is another social networking site built with Python? Image organization and shareability are its best features. These are made possible by the Django framework.
Disqus offers a simple way to comment on topics, create discussions, and engage audiences. The popular app rubs on Python with the Django framework.
The best features here include secure and cross-site notifications, alternative sign-in options, and many others.
The world’s largest music streaming app runs on Python. 2019 data shows that the streaming service generated more than 6.76 billion euros. They chose Python for benefits such as advanced analytics and speedy development.
The ride-hailing app makes use of Python for its best feature. The company now serves more than 100 million users worldwide. Python makes it easier to work with the massive data generated.
Along with reliable security and faster development, there are enough reasons why an advanced app like Uber would be built with Python.
The platform gets more than 4 million views every day. Every minute there are 60 hours of video uploaded to YouTube. YouTube makes unlimited use of
Python on the site and app, leveraging its speed, reliability, and security. Every time you click play on YouTube, you trigger a Python code.
Google recognizes Python as an official language. Since the beginning, the search engine platform has used Python for flexibility, scalability, and rapid development. Google sponsors countless Python conferences, which shows their committed relationship with the language.
The cloud-native app offers services such as storage, file sharing, data management, and client software. The original DropBox platform was initially written in Python 2.7. The platform has made a recent move to Python 3, and the development team reportedly like its flexibility and simplicity.
The social news aggregator runs on Python. It was, however, initially coded in Common Lisp. The Reddit engineering team moved to Python in 2005 for unlimited access to libraries and development speed.
Quora hosts questions and detailed answers on thousands of topics. The developers chose Python for its expressive and speedy scripting. Even LiveNote, a system that controls content display on the site, is partly written in Python.
Python is an indispensable language in the software development world. Mastering its nuances is the key to quicker and simpler app development.