Python programming
Advanced Data Structures & Functional Programming Concepts
Deep dive into lists, tuples, dictionaries, and sets; understanding list and dictionary comprehensions; introduction to lambda functions, map, filter, and reduce.
Object-Oriented Programming (OOP) in Python
Classes, objects, attributes, methods; inheritance, polymorphism, encapsulation, and abstraction; understanding and using special methods (dunder methods).
Error Handling, Debugging, and File Operations
Implementing robust error handling with try-except-finally blocks; creating custom exceptions; utilizing the logging module for debugging; reading from and writing to various file types.
Generators, Decorators, and Context Managers
Understanding iterators and generators for memory-efficient processing; creating and applying decorators for function modification; using 'with' statements and creating custom context managers.
Working with APIs and Web Scraping Fundamentals
Making HTTP requests with the 'requests' library; parsing JSON responses; basic web scraping techniques with 'BeautifulSoup' for extracting data from HTML.
Concurrency and Introduction to Testing
Overview of multithreading and multiprocessing for concurrent execution; using the 'unittest' module for writing unit tests; introduction to test-driven development (TDD) principles.
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