Top Python Libraries for Data Science to use in 2020
Python is amazing when it comes to web development. Django provides an excellent library resource to build highly-functional applications. Python development automates redundant steps and uses less coding for delivering more value. The libraries make coding simpler for developers as they don’t have to write complex codes for each and every feature.
Python applications are the future of web development and technology. They are built with AI and ML integrations, which will dominate in the future. Currently, Python is also one of the most powerful programming languages in the world. Its popularity is increasing day-by-day, and there is a massive surge in Python developer jobs all across the globe.
If you want to move ahead of Django Framework and explore some new libraries for Python web programming, we have got you covered. In this article, we’ll outline the 5 not-so-common libraries for building web applications.
The 5 Best Python Libraries for Data Science to use in 2020
Django is the most popular Python library, which is used by the best Python developers all over the world. It has an easy learning curve and provides clear flows for programming. The libraries for Python offer excellent features to include in the web application without writing a huge amount of code.
A few of the less-known libraries for Python are:-
TensorFlow is one of the most popular libraries for Python applications launched by Google in 2020. It is an open-source library that enables developers to work with numerical computation. It is based upon data flow graphs that are utilized in GPUs and CPUs with a single API. TensorFlow is highly popular in the world of machine learning and artificial intelligence.
It is a library suitable for analytics queries. It provides a smoother way to derive results from the data. While NumPy and Pandas are used for analytics, they lag when it comes to an understanding of a massive dataset. The library offers a uniform interface for abstraction and migration of data.
Arrow is one library that eases Python web programming for mobile application users spread across different regions. It provides features for formatting, manipulating, converting data, and timestamps to the target audiences in different regions. It simplifies the process of converting one timezone to another. Applications can easily be made for a global audience with Arrow.
Zappa is the future of application deployment for web applications. Today, the best Python developers use Zappa for serverless architecture that forms the basis of so many apps. The deployment of Python and WSGI applications becomes easy on AWS Lambda. It enables deploying microservices without any investment in a server.
Bokeh is a popular library for Python applications that provides the capability for interactive visualization and presentation for different web browsers. Developers can build a visual application with unique graphics that augment the user interface. You can create dashboards and data applications by quickly integrating with applications.
Build World-Class Python Applications with Unique Libraries
Django is an excellent library for Python development. However, if you want to explore other libraries with unique functionalities, those mentioned above are worth a try. You can use Python to build applications that can help you stay ahead of the competition in the future. We can help you achieve maximum reach by building world-class Python applications.
At BoTree Technologies, we build enterprise applications with our Python team of 15+ engineers.
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