We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

In this section, we use the dataset cargame.csv to demonstrate how to create basic graphical displays in Python. Below is the scenario for the data: A toy company has four types of vehicles for sale: ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to settle ...

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories. In its annual Octoverse report, ...