Introduction For a long time, I viewed programming as something reserved for software engineers and computer scientists. As someone with a background in scientific research and a growing interest in data analytics, I assumed tools like Excel, SQL, and Power BI were enough to answer most questions hidden in data. Then I started learning Python, and what first looked like a programming language full of strange syntax quickly revealed itself as one of the most powerful tools a data analyst or data scientist can have. Python is not just about writing code; it is about automating repetitive tasks, cleaning messy datasets, analysing millions of records, and creating reproducible workflows that can be shared with anyone. In this article, I share my beginner-friendly understanding of Python and how it is used in the data analytics space. If you are just starting your journey in data analysis, this guide will give you a practical overview of what Python is, why it matters, and the core concepts you need to know.…