Python Programming Language Course in Chennai

Python is recognized for its simple syntax, high readability, and ease of learning. It supports various programming paradigms, including procedural, object-oriented, and functional styles. Additionally, Python offers a vast standard library and numerous third-party modules, which accelerate and simplify development.

Decorators are functions that modify or enhance the behavior of other functions or methods. They’re helpful for adding features such as logging, access control, or timing without modifying the original function’s code, promoting cleaner and more reusable code.

Lists are ordered collections that are mutable and allow duplicate values. Tuples are also ordered but immutable, meaning their contents cannot be altered once created. Sets, on the other hand, are unordered collections containing only unique items, making them ideal for membership checks and eliminating duplicates.

The GIL is a mutex that controls access to Python objects, ensuring that only one native thread executes Python bytecode at a time. While this simplifies memory management, it restricts true parallel execution in multi-threaded programs, especially impacting CPU-bound tasks.

The code that may raise an error is enclosed within a try block, while the error handling is managed inside the except blocks. This prevents the program from crashing and allows graceful error recovery.

A generator is an iterator that yields items one at a time using the yield keyword, producing values lazily and saving memory. In contrast to lists, generators don’t keep all items in memory, making them more efficient when working with large datasets.

Python uses tools like pip to install packages from the Python Package Index (PyPI). Virtual environments created with venv or virtualenv isolate project dependencies, ensuring consistent package versions and avoiding conflicts between projects.

List comprehension provides a concise way to create lists by embedding loops and conditionals inside brackets. It makes the code shorter and more readable compared to traditional loops and appending.

Python supports classes, inheritance, encapsulation, and polymorphism. Classes define blueprints for objects, inheritance allows reuse of code by deriving new classes, encapsulation hides internal data, and polymorphism allows different classes to use the same interface.