Python is well regarded for most of the robust libraries, development, and suitability for large and small scale web development courses in Delhi. Python developers also enjoy great demand for different jobs like databases, machine learning, cloud infrastructure, data analysis, reliability/testing, design, security, web scraping, APIs and mobile development.
When Python is enjoying so much traction amongst the community of web developers, it goes without saying that there are lots of Python libraries for web applications. Here are some of the best Python libraries so you can do more with less code.
It is an open source framework which is well regarded for developing complex data-driven sites. It has libraries, templates, and APIs which help build great web development projects. Django is the most popular Python library as it is widely used for running different popular websites like Pinterest, Instagram, Nextdoor, Bitbucket, and The Washington Times.
This library helps perform logical and mathematical operations on wide arrays. It has a multidimensional range of objects and a collection of routines to process arrays.
It is a web application development library which has components of Web Server Gateway Interface (WSGI), including Repoze, SQLAlchemy, WebOS etc. Like Apache Struts or Ruby on Rails (RoR), TurboGears is built across MVC architecture which helps in great web application development.
It is an open source, BSD-licensed Python library offers user-friendly data analytics tools and data structures for Python programmers. This framework is widely used in commercial and academic domains, including economics, finance, statistics, and analytics.
It is a micro-web framework which is integrated with development support and server to perform unit testing. This Unicode Python framework supports dispatching RESTFUL request and is widely regarded for programmers to start.
It is a cross-platform Python framework for web development launched in 2007. It comes with a debugger, code editor, and deployment tools.
It is a WSGI based micro web library distributed as a one-file module without any dependencies other than the Python Standard library. It has request support with URL support, built-in HTTP server, and key/value templates and databases.
It is a plotting Python library helps you to create 2D plots and graphs with Python scripts. It supports different types of plots and graphs, including histogram, bar charts, power spectra, and error charts. It has a module called as Pyplot with which you can easily perform plotting with features like formatting axes, color line styles, and font properties.
It offers to Create, Retrieve, Update and Delete (CRUD) functions for applications and manages a project from anywhere with the browser. The framework can run on several HTTP servers, has in-built coverage, profiling, and testing support, and comes with the smooth plugin system.
This micro-framework helps develop backend and small-scale applications. It works on REST architecture style and comes with different templates, add-ons, and complementary packages.
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