Stack Overflow’s 2018 developer survey found Python as the most wanted programming language, surpassing C# and PHP. The growth of this high-level programming language can be estimated from the fact that over 122,864 websites online are built using Python, with 93,197 unique domains. | According to Similar Tech
Python VS Major Programming Languages
Python is entrusted for maturity of development, robust libraries, and suitability for a small and large scale web development projects. Also, Python developers are high in demand for wide range of jobs, including machine learning, databases, data analysis, cloud infrastructure, design, site reliability/testing, web scraping, security, mobile development, APIs, and more.
The programming language is primarily used for data analysis, web development, and DevOps operations. | According to Opensource.com
With Python gaining so much traction amongst developers’ community, it is obvious to find a number of Python frameworks to ease web application development process. Here are top 10 Python frameworks, enabling developers to do more with less lines of code.
Django is an open-source, Python framework that is known for building complex data-driven websites. The framework has templates, libraries, and APIs that helps in building scalable web-development projects. Django is the most popular Python frameworks and is lay down the basis for various popular websites, including Instagram, Pinterest, Bitbucket, Nextdoor, The Washington Times etc.
TurboGears is a web application development framework, consisting of Web Server Gateway Interface (WSGI) components such as SQLAlchemy, Repoze, WebOb etc. Similar to Ruby on Rails (RoR) or Apache Struts, TurboGears is built around MVC architecture that helps in rapid web application development.
Numpy- Numeric Python is a library that helps in performing mathematical and logical operations on arrays. The library consists of multidimensional array of objects and a collection of routines for processing the arrays.
Pandas is a BSD-licensed, open-source Python library that provides easy to use data structures and data analytics tools for Python programmers. The framework is primarily used in academic and commercial domains, such as finance, economics, analytics, statistics etc.
Matplotlib is a plotting library that allows creating 2D graphs and plots by using Python scripts. It supports a variety of graphs and plots, which includes bar charts, histogram, error charts, power spectra etc. The library has got a module named Pyplot that makes plotting easy with features like color line styles, formatting axes, font properties etc.
Flask is a micro-web framework that’s built-in with development server and support for unit testing. This Unicode based Python framework supports RESTFUL request dispatching and is extensively documented for programmers to get started.
Web2py is a cross-platform framework for web development, written in Python. Introduced in 2007, the framework comes with code editor, debugger, and deployment tools.
Bottle is a WSGI micro web-framework, which is distributed as a single file module with no dependencies other than the Python Standard Library. It has support for request dispatching with URL support, key/value databases and templates, and a built-in HTTP server.
CherryPy provides the CRUD (Create, Retrieve, Update and Delete) functionalities for applications and helps in managing the project from anywhere using the user’s browser. The framework can run on multiple HTTP servers, have flexible plugin system, and has built-in profiling, coverage, and testing support.
Falcon is a micro-framework for developing small scale applications and backend. The Falcon web framework encourages the REST architectural style and is available with a number of add-ons, templates, and complementary packages to ease development.
Which is the most popular Python framework?
Python and its frameworks are opening ways for building robust and scalable application with less lines of codes. Along with the 10 popular options shared above, which Python framework do you think works well for Python web application development and why? Share with us in the comments below.