Top 8 Python Tools For App Development
Python is one of the popular languages among data scientists and developers because of its availability of the number of libraries and tools. According to the TIOBE Programming Community index for July 2020, Python language is in the third position among the top 20 programming languages used by skilled engineers around the globe. In one of the surveys by AIM, 53.3% of data scientists prefer this language as it helps them build specific analytics capabilities and data science skills. In this article, we list down the top 8 Python tools one can use for app development. (The list is in alphabetical order) 1| BeeWare About: BeeWare is a collection of tools and libraries for developing and distributing native applications in Python. The suite of tools and libraries works together to help a developer write cross-platform native GUI Python applications. BeeWare includes the following: – Toga, which is a Python native, OS native, cross-platform GUI toolkit.Briefcase, which is a tool for packaging Python projects as distributable artefacts that can be shipped to the end-users.Rubicon ObjC- It is a library for working with Objective C libraries on iOS and macOS using Python code.Rubicon Java, which is a library for working with Java libraries using Python code.Pre-compiled builds of Python that can be used on platforms where official Python installers aren’t available. Know more here. 2| Bottle About: Bottle is a fast and simple micro-framework for small web applications. It is distributed as a single file module and has no dependencies other than the Python Standard Library. It offers request dispatching with URL parameter support, a built-in HTTP Server, adapters for many third party WSGI/HTTP-server, etc. and with no dependencies other than the Python Standard Library. Know more here. 3| CherryPy About: CherryPy is an object-oriented web framework in Python. It allows the users to develop web applications in a similar way they would develop any other object-oriented Python programs. Some of the features of this framework are: – Easy to run multiple HTTP servers at once.A powerful configuration system for developers and deployers alike.A flexible plugin system.Built-in tools for caching, encoding, sessions, authentication, static content, and many more.Built-in profiling, coverage, and testing support.Runs on Python 2.7+, 3.5+, PyPy, Jython and Android. Know more here. 4| Django About: Django is an open-source, high-level web framework in Python that encourages rapid development and clean, pragmatic design. It is used for backend web applications that are based on Python language. Some of its features include- Django was designed to help users take applications from concept to completion in a faster manner.The tool exerts security seriously and assists the developers to avoid various common security mistakes. Know more here. 5| Falcon About: Falcon is a reliable, high-performance Python web framework for building large-scale app backends and microservices. Falcon apps work with any WSGI or ASGI server, and it runs under CPython version 3.5+ and PyPy version 3.5+. Some of the features are mentioned below:- Highly-optimised, extensible codebase.Falcon performs intuitive routing via URI templates, REST-inspired resource classes, etc.It provides easy access to headers as well as bodies through request and response classes.Allows snappy unit testing through WSGI helpersDRY request processing via middleware components as well as hooks. Know more here. 6| Flask About: Flask is one of the most popular Python web application frameworks. It is a lightweight WSGI web application framework. The framework is designed with the ability to scale up to complex applications. Flask offers suggestions but doesn’t enforce any dependencies or project layout. Know more here. 7| Kivy About: Kivy is an open-source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. It is cross-platform, GPU accelerated as well as business-friendly. Kivy depends on many Python libraries, such as GStreamer, PIL, Cairo, among others. Know more here. 8| Pyramid About: Pyramid is a small, fast web framework for Python 2 and 3. It is designed to create web applications easier. Pyramid provides only the core tools needed for nearly all web applications: mapping URLs to code, security, and serving static assets, for instance, files like JavaScript and CSS. Pyramid encourages standard Python development practices with packaging tools, virtual environments, logging, and so on. Know more here.
Python is one of the popular languages among data scientists and developers because of its availability of the number of libraries and tools. According to the TIOBE Programming Community index for July 2020, Python language is in the third position among the top 20 programming languages used by skilled engineers around the globe.  In one […]
In one of the surveys by AIM, 53.3% of data scientists prefer this language as it helps them build specific analytics capabilities.
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["AI", "data science", "analytics", "Aim", "RAG", "microservices", "Python", "R", "JavaScript", "Go"]
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