Python is one of the most adopted frameworks according to Stack Overflow’s 2018 developer review.
Did you know that more than 122,864 online websites are developed using Python?
Reason being its mature app development and enhanced libraries. Moreover, Python developers are in extensive demand in industries such as cloud infrastructure, machine learning, design, data analysis, web scraping, mobile development, and webpage reliability/testing.
Let’s find out what are the different frameworks used by Python development services companies to ease the web app development process.
Django is placed on the top due to its open-source and easy to use nature. The technology is simply efficient when it comes to developing data-driven complex web applications. It has advanced libraries, APIs, templates, that supports web applications projects such as Nextdoor, Instagram, Pinterest, The Washington Times, and Bitbucket.
Pandas is an open-source Python library BSD-authorized used for data manipulation and analysis. It gives simple-to-use data analytics and data structure tools to developers. The technology is mostly used in commercial and academic domains such as analytics, economics, statistics, and analytics.
It is a plotting library of Python that enables the embedding of plots into the application. The best part of using this library is that it is a general-purpose UI toolkit that supports power spectra, plots, graphs, histogram, error charts, bar charts and so on. The modules in it the plotting simple by providing font properties, formatting axis, and color line styles.
Flask is Python’s micro-web framework that does not require any tools or libraries. The framework ishas built-in development server and support for unit testing. The platform supports RESTFUL and is used in some lightweight stuff like APIs.
It is again an open-source framework for web application development. It allows web app developers to program dynamic applications without any hassle. The technology includes deployment tools, code editor, debugger, and so on.
Bottle is a distributed model and a micro-web framework that does not require any dependencies apart from Python Standard Library. The framework supports URL, built-in HTTP server, key/value databases and templates to simplify the app development process.
CherryPy help developers to use CRUD functionalities to smoothen the app development process. The project can be handled from any place using the user’s browser. Using this framework your application keeps on running on several HTTP servers, has built-in coverage, profiling, and testing support has an adaptable plugin system, and so on.
All these frameworks make Python programming worthwhile and at the same time enables developers can develop a complex, small-scale, enterprise-level application in a hassle-free way. You can do much more creating less code for application development.