Complete Python Programming Course with OOP & MySQL by Anitha R

This Complete Python Programming Course is a structured, step-by-step learning program designed for students and beginners who want to build a strong foundation in Python and gradually move toward object-oriented programming and database integration. Delivered through online live classes, the course covers Python fundamentals, intermediate concepts, and advanced topics such as OOP (Object-Oriented Programming) and MySQL integration with Python.

The course is suitable for school students (including Class 12 Python learners), college students, and beginners who want to understand Python from scratch and apply it confidently in academic projects or future learning paths. The syllabus is carefully planned over multiple weeks to ensure concept clarity, regular practice, and logical progression from basics to advanced usage.

What Students Will Learn

By the end of this course, students will develop a clear and practical understanding of Python programming, including:

• Introduction to Python, its history, features, and real-world use cases

• Python syntax, variables, and core data types (int, float, string, list, tuple, dictionary)

• Operators: arithmetic, comparison, and logical operations

• Control structures such as if-else conditions and loops (for and while)

• Writing reusable code using functions, arguments, return values, and lambda functions

• Handling user input and program output using built-in methods

• Working with lists, tuples, dictionaries, and their commonly used methods

• String manipulation techniques including slicing and formatting

• File handling concepts for reading from and writing to files

• Error handling using try, except, and finally blocks

• Understanding and using modules and packages, including basic use of pip

• Core principles of Object-Oriented Programming (classes, objects, inheritance)

• Connecting Python with MySQL for basic database operations

• Foundational knowledge of DBMS concepts applied through Python

Teaching Method

his course is conducted entirely through online live sessions, ensuring interactive learning and real-time guidance. The teaching approach focuses on clarity, gradual progression, and hands-on understanding rather than memorization.

Key teaching features include:

• Concept-wise explanation with simple examples

• Step-by-step coding demonstrations during live classes

• Structured weekly learning plan from basics to advanced topics

• Regular practice problems to strengthen logic-building skills

• Emphasis on writing clean and understandable Python code

• Opportunity for students to ask questions and clarify doubts during sessions

The course structure makes it suitable for learners with no prior programming experience as well as students who want to strengthen their Python fundamentals.

Why This Tutor

Anitha R follows a concept-driven teaching style that helps learners understand not only how to write Python programs but also why certain approaches are used. The focus is on building a strong base in core Python concepts, object-oriented thinking, and basic database integration.

The teaching approach supports steady learning, making it easier for students to transition from basic syntax to more advanced programming concepts with confidence.

Location Context

This is a fully online Python programming course, allowing students from any city or location to attend live classes conveniently. Online delivery ensures flexibility and consistent access to learning regardless of geographic location.

Benefits / Outcomes

After completing this course, students can expect:

• Strong foundational knowledge of Python programming

• Clear understanding of Object-Oriented Programming concepts

• Ability to write structured and reusable Python code

• Practical exposure to MySQL integration with Python

• Improved logical thinking and problem-solving skills

• Confidence to handle school-level, college-level, or beginner programming tasks

This course prepares learners for further studies in computer science, data-related subjects, or advanced Python-based technologies.