Python is a high-level, general-purpose programming language known for its readability and simplicity. Created by Guido van Rossum and first released in 1991, Python has grown to become one of the most widely used programming languages in the world.
Its clean syntax makes it easy to learn for beginners, while its flexibility and rich ecosystem of libraries make it powerful enough for experts.
Python is one of the top choices for data analytics because of its simplicity, versatility, and strong community support. It allows analysts and data scientists to manipulate data, perform complex calculations, create visualizations, and build machine learning models — all with minimal code.
Python's popularity in data analytics is largely due to powerful libraries like:
These libraries help turn raw data into meaningful insights quickly and efficiently.
Throughout this course, you'll write Python code in the interactive coding pane to the right. Each level introduces a concept step-by-step and lets you practice it in real time.