The Python for Intermediate Level course bridges the gap between beginner-level Python and expert programming. It covers essential topics such as object-oriented programming (OOP), data structures, error handling, and file operations, and introduces intermediate libraries like NumPy and Pandas. Participants will work on real-world projects to solidify their understanding and gain hands-on experience.

Led by a seasoned instructor, this course offers a perfect blend of theory and practical application to ensure learners are well-prepared for advanced projects and coding challenges.

Key Benefits

Comprehensive Learning: Delve deeper into Python’s advanced capabilities.
Project-Based Approach: Apply knowledge to build real-world solutions.
Interactive Sessions: Learn with live coding demonstrations and feedback.
Skill Development: Prepare for more complex programming and software development.

What You’ll Learn

Object-Oriented Programming (OOP)
- Understanding classes, objects, and methods.
- Inheritance, polymorphism, encapsulation, and abstraction.
Data Structures and Algorithms
- Lists, tuples, dictionaries, and sets: Advanced operations.
- Working with stacks, queues, and linked lists.
Error and Exception Handling
- Handling runtime errors effectively.
- Creating custom exceptions.
File Handling and Working with Data
- Working with CSV, JSON, and Excel files.
- Introduction to databases and SQL integration with Python.
Intermediate Python Libraries
- NumPy: Array operations, reshaping, and broadcasting.
- Pandas: Data manipulation, cleaning, and analysis.
Real-World Applications
- Automating tasks with Python.
- Building small applications using OOP principles.