This Python programming course is tailored to meet the unique learning needs of students, offering a perfect blend of theory and hands-on practice. Designed for beginners, the course introduces the fundamentals of Python in a simplified and engaging manner. Each concept will be explained with real-life examples, followed by practical sessions conducted using Jupyter Notebook to reinforce learning through coding exercises. The course emphasizes clarity, confidence, and coding accuracy, gradually building a strong foundation for further exploration in Data Science and related fields. By the end of the course, students will be able to write efficient Python code, understand its syntax and structure, and apply it to solve real-world problems, especially in the Data Science domain. Comprehensive lecture notes and ready-to-use code snippets will be shared to support self-paced learning and future reference. This course ensures a smooth and enjoyable learning journey into one of today’s most powerful and in-demand programming languages.