Developers are still using Python for data tasks and AI, but many are still using older releases, putting productivity at ...

Python is the most popular "other" programming language among developers using Julia for data-science projects.

According to SlashData, there are now 8.2 million developers in the world who code using Python and that population is now larger than those who build in Java, who number 7.6 million.

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Data clustering, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

When you want to work with a relational database in Python, or most any other programming language, it’s common to write database queries “by hand,” using the SQL syntax supported by most ...

Today’s best Python courses offer hands-on experience with data analysis, web development, machine learning and more.

After a general introduction to programming, the course teaches you how to use Python to extract data from the web and work with databases. It’s a good demonstration of how Python can be useful ...