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Stack Overflow’s 2018 developer review discovered Python as the most adopted framework, outperforming C# and PHP. The development of this high-level platform can be evaluated from the way that more than 122,864 sites online are developed using Python, with 93,197 exceptional businesses. According to Similar Tech.
(Image source: Google Trends)
Python is surpassed due to the maturity of development, enhanced libraries, and its appropriateness for a small and vast scale web development projects. Additionally, Python developers are in extensive demand in diverse industries such as machine learning, databases, cloud infrastructure, design, data analysis, webpage reliability/testing, web scraping, security, mobile development, APIs, and that’s only the tip of the iceberg.
The platform is principally utilized for data analysis, web development, DevOps tasks. | According to Opensource.com
With Python picking up such a great deal of footing among the developers’ communities, it is clear to come across the number of frameworks that help ease web application development process. Here are the top 10 Python frameworks, empowering developers to achieve more with fewer lines of code.
Django got the top place in the list due to its nature of being an open-source Python platform. This technology is simply efficient to build complex data-driven sites. The platform is much mature and advanced with attributes including libraries, templates, and APIs that support the development of scalable web-development projects. Django is the most well-known platform used in Python-based apps and is used in several popular websites such as Instagram, Pinterest, Bitbucket, Nextdoor, The Washington Times, and so on.
TurboGears is a web application development platform, comprising Web Server Gateway Interface (WSGI) elements, including SQLAlchemy, Repoze, WebOb, and so forth. Like Ruby on Rails (RoR) or Apache Struts, TurboGears is worked around MVC architecture thus support rapid web application advancement. This web framework got the second top place in the list due to having features that let it act both as a full-stack or microframework solution, with MongoDB as first citizen storage.
Numpy-Numeric Python is a library that assists in performing scientific and logical activities on arrays. Its library is available with multidimensional arrays of objects as well as a collection of routines for processing the arrays. Numpy enriches offshore Python development with powerful data structures and tools that ensure high performance.
Pandas is a BSD-authorized, open-source Python library that gives simple to utilize data structures and data analytics tools to developers. The technology is principally used in academic and commercial domains, including finance, economics, analytics, statistics etc.
Matplotlib is a plotting library for Python and available with object-oriented API that enables embedding of plots into the application. The library also supports making 2d charts with a python script. It is like general purpose GUI toolkit that further support an assortment of plots and graphs including histogram, power spectra, bar charts, error charts etc. The library has a module named Pyplot that makes plotting simple with attributes such as color line styles, formatting axes, font properties and so forth.
Flask is a micro-web framework, thus does not need particular tools or libraries. It built-in with development server and support for unit testing. This Unicode based platform supports RESTFUL ask for dispatching and is broadly reported for application developers to begin.
This cross-platform web application framework is written in Python. Since 2007, the technology accompanies code editor, debugger, and deployment tools. Web2py make it possible for a developer to program dynamic web content using Python.
Bottle is a WSGI micro web-framework, or, in other words, a distributed module within a single file without any dependencies other than the Python Standard Library. The framework easily supports to request dispatching with URL support, key/value databases and templates, and a built-in HTTP server.
CherryPy enables developers to integrate the CRUD (Create, Retrieve, Update and Delete) functionalities in applications and aids in dealing with the project from any place using the user’s browser. When an application developed using CherryPy, it enables the application to keep running on numerous HTTP servers, has an adaptable plugin system, and has built-in profiling, coverage, and testing support.
Falcon is yet another Python framework and found best for developing small-scale applications and backend. The framework encourages the REST architectural style and available with great speed and makes backend and microservice developments easy. It comes with a number of add-ons, templates, and complementary packages offshore python programmers need to develop apps.
Python and its structures are opening routes for building a powerful and adaptable application with fewer lines of code. Alongside the 10 mainstream choices shared above, which Python platform do you think functions admirably for web application development and why? Share with us in the comments below.
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