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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will deepen your understanding of Python and Object-Oriented Programming (OOP) concepts, expanding your skills beyond the basics. You’ll learn how to handle exceptions and errors, use recursion, and optimize algorithms, while also gaining proficiency in complex data structures like dictionaries, sets, and tuples. With hands-on exercises and examples, you will apply these concepts in practical ways that strengthen your Python programming expertise. The course begins by teaching exception handling, focusing on how to differentiate between syntax and runtime errors, catch multiple exceptions, and raise custom exceptions. You'll then dive into recursion, implementing algorithms like factorials and Fibonacci sequences. Following this, you'll explore searching and sorting algorithms such as linear search, binary search, and quicksort, as well as gain experience with data structures like dictionaries and sets. The course culminates in the application of OOP principles, such as classes, inheritance, polymorphism, and unit testing. This intermediate-level course is ideal for learners who already have a basic understanding of Python and want to refine their skills in error handling, recursion, algorithms, and object-oriented programming. You'll apply your learning through coding exercises, examples, and a project that prepares you for more advanced Python programming. By the end of the course, you will be able to handle exceptions effectively, design and optimize algorithms, work with complex data structures, apply OOP principles to Python programs, and create tests for your code using pytest.
