From building complex machine learning applications, to creating intuitive graphical user interfaces, Python is a popular programming language that has become the preferred choice for software developers and data scientists alike. Python outperforms rival programming languages, such as C++, in this regard.
The tools featured in this article range from integrated development environments (IDEs) such as PyCharm, to the browser testing tool Selenium.
To become a Python specialist in regards to data science, data analysis and machine learning, you will need to install a range of additional packages.
The basic version of Python Anywhere allows developers to test code elements and check the results.