In Python, built-in functions are pre-defined functions that are available as part of the Python programming language. These functions are built into the Python interpreter and can be used directly without the need for importing additional libraries or modules.

Python provides a wide range of built-in functions that serve various purposes and perform common operations. Some commonly used built-in functions in Python include:

1. print(): Used to display output on the console or terminal.
2. len(): Returns the length (number of elements) of an object, such as a string, list, or dictionary.
3. type(): Returns the type of an object, such as int, str, list, etc.
4. range(): Generates a sequence of numbers within a specified range.
5. input(): Reads user input from the console.
6. int(), float(), str(): Functions to convert values to integer, floating-point, or string data types, respectively.
7. max(), min(): Return the maximum or minimum value from a sequence of elements.
8. abs(): Returns the absolute value of a number.
9. round(): Rounds a floating-point number to a specified number of decimal places.
10. sum(): Calculates the sum of elements in a sequence.

These are just a few examples of the built-in functions available in Python. Python offers a rich library of built-in functions that cover a wide range of functionalities, including mathematical operations, string manipulation, file handling, data type conversions, and more.

Additionally, Python also provides modules and libraries, such as math, random, datetime, and os, that offer additional functions and capabilities beyond the built-in functions. These modules need to be imported before they can be used in a Python program.

Built-in functions in Python simplify and streamline common programming tasks by providing pre-defined functionality that can be readily used. They serve as powerful tools for performing various operations and manipulating data within Python programs. By obtaining Python Course, you can advance your career in Python. With this course, you can demonstrate your expertise as an as Sequences and File Operations, Conditional statements, Functions, Loops, OOPs, Modules and Handling Exceptions, various libraries such as NumPy, Pandas, Matplotlib, many more fundamental concepts, and many more critical concepts among others.