Python Basics: This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to ...

⚠️ Note as of 2025-04-13: This repository contains outdated material. The so-called "language war" in data science has largely settled. While R remains a strong tool for statistical analysis, Python ...

When it comes to coding, staring at a textbook and reading theory after theory won’t do you much good. As with all skills, learning to code takes practice, and if you want to get hands-on experience ...

So, you want to get better at Python, huh? It’s a popular language, and for good reason. Whether you’re just starting out or trying to level up your skills, finding good places to practice is key.

Python is a high-level, flexible programming language that is well-known for its extensive ecosystem, ease of use, and readability. Python’s vast libraries and frameworks offer advanced capabilities ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Program-side access to Excel is interesting for many areas of application. It is therefore not surprising that Python provides libraries for this purpose. In addition to pandas, openpyxl should also ...