3. Python is being used in web development, machine learning, AI, scientific
computing, and academic research. Its popularity can be credited with the
growing data science community embracing artificial intelligence and
machine learning. Industries like education, healthcare, and finance are using
machine-learning applications to innovate their organizations.
Python is also widely used by companies including Netflix, Google, Facebook,
Reddit, YouTube, Instagram, and more. Specifically, Spotify uses Python within
its back-end services, capturing user data to provide accurate
recommendations and playlists. Dropbox, meanwhile, uses Python scripts to
create its native applications on each platform (Windows, macOS, Linux, iOS,
Android, etc.)
4. Since Python is so versatile and has so many applications, the best
tools for Python Developers to use can be divided into several
categories:
Data science Python tools
Scikit-Learn is an open-source tool that Python Developers, Machine
Learning Engineers, and Data Scientists all swear by for data mining
and data analysis. Written in Python, Keras is a high-level neural
network library that is easy to use and well-suited to machine learning
and deep learning. Theano is a Python library useful for evaluating
math computations that integrate tightly with NumPy. And SciPy is used
for technical and scientific computing.
5. Automation testing Python tools
Selenium is beloved for good reason, as it allows a Python Developer to write scripts in
many other languages, including C#, PHP, Perl, Ruby, and Java. Selenium also allows you
to perform tests from any browser in all three major operating systems. Robot
Framework is also open-source, a generic test automation framework designed for
acceptance testing that works not just for web apps, but also iOS and Android test
automation. Like Robot Framework, TestComplete is an automation testing software, but
it requires a commercial license.
Web scraping Python tools
LXML is a feature-rich, Python-based tool for C libraries. Beautiful Soup is a time-saving
Python library that is used for projects like screen-scraping. And Scrapy is an open-
source framework written in Python that crawls web pages and extracts data from them.