This course is designed to teach Python programming to undergraduate students in BSc (Physics, Mathematics, Computer Science, or related fields).

Python is one of the most widely used programming languages in scientific research, data science, and software development. By the end of this course, students will:

• Understand core programming concepts and write clean, efficient code.

• Learn how to use Python for scientific computing, data visualization, and automation.

• Build practical skills through real-world projects, including applications in physics and data analysis.

• Gain a strong foundation to prepare for advanced research, internships, or competitive exams like GATE, JAM, or GRE.

The course emphasizes hands-on learning with interactive coding sessions, problem-solving, and personalized guidance.

Who This Course is For:

• Undergraduate students in Physics, Mathematics, Computer Science, or related disciplines.

• Beginners with no prior programming experience.

• Students interested in applying coding skills to scientific research and data analysis.

• Learners preparing for higher studies or careers in data science, research, or technology.

Teaching Methodology:

1. Concept-Based Learning – Build a strong foundation through theory and practice.

2. Hands-On Coding – Each session includes live coding exercises.

3. Problem-Solving Focus – Apply concepts through exercises, quizzes, and projects.

4. Real-Life Applications – Use physics and real-world datasets to make learning meaningful.

5. Continuous Feedback – Weekly assignments and assessments to track progress.