“Python and Data Science” is a work that is structured to guide readers step by step, beginning with a simple introduction to the Python language and progressing to modern data science technologies. The initial chapters of the book provide an overview of Python’s history, its development, and its deeper technical applications. Through this approach, the book creates an easy learning path for beginners as well as technology enthusiasts. It includes well-explained lessons with numerous programming examples, methods for installing Python (Windows, Linux, Mac), demonstrations of various IDEs, and simple explanations of using Jupyter Notebook and Anaconda. In addition, it clearly explains the use of variables, string formatting, data type conversion, and the use of arithmetic and logical operators in Python. In the later sections, the core concepts of data science are thoroughly discussed, including loading CSV files, detecting inconsistencies, dimensionality reduction, supervised learning, semi-supervised learning, and reinforcement learning methods. This book serves as a guide from the foundational efforts required of a data scientist to the advanced stages of machine learning projects. Overall, this work is an excellent resource in Kannada for learning Python and Data Science.