11 Most Frequently Used Built-in Functions In Python

This article will examine some of the most widely utilized built-in Python functions and offer usage examples.

Table of Contents

Python is a well-liked programming language with many uses. Python has several built-in methods that simplify programming and make writing effective code easier, which is one of its advantages. This article will examine some of the most widely utilized built-in Python functions and offer usage examples.

Built-in Functions : What is It?

Built-in functions are pre-defined functions included in the Python programming language. Their intended functions include processing files, executing mathematical computations, and manipulating strings. Unlike user-defined functions, built-in functions don’t need explicit definitions or import declarations. The programmer can always access them.

You can use Python’s built-in functions for a variety of purposes. We’ll examine some of the most often utilized built-in Python functions in this tutorial and offer usage examples. Elevate Your Career with Python Training in Pune.

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How Many Functions Exist in Python?

Python has three different functions. These are the following:

  • Built-in functions: The Python programming language has 68 built-in functions.
  • User-defined functions:  A user-defined function is defined by using the def keyword. 
  • Anonymous functions: Lambda functions are another name for anonymous functions.

Examples of Built-in Functions

● Mathematical Functions

Python comes with various built-in mathematical functions to carry out simple arithmetic operations. The following are a few of the most often utilized Python mathematical functions:

 abs () – yields a number’s absolute value.

pow() – The function pow() raises an integer to a specific power

 round () rounds a number to the number of decimal places that you provide.

 max () yields the most significant value in a list or tuple.

 min () – The function min() yields the lowest value within a list or tuple.

Here are some further instances of Python’s built-in mathematical functions:

divmod()- divides an integer by another and returns the residual and quotient.

sum()- The function sum() yields the total of each element in a list or tuple.

round()– this function rounds a value to the next integer

floor() – find the largest integer that equals or is less than a specified number.

ceil() –yields the lowest integer equal to or larger than a specified number. Enhance your skills with our Python Web Development Course.

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● String Functions

Additionally, Python comes with several built-in string manipulation routines. Programming uses strings frequently, as they are a core data type in Python. The following are a few of the most often utilized Python string functions:

len() – yields a string’s length

capitalize()- capitalizes a string’s initial letter

replace()- swaps out a given substring for another substring.

split() –divides a string using a given delimiter into a list of substrings.

join() –use a designated delimiter to merge a bunch of strings into a single string.

Here are some further instances of string built-in functions in Python:

Lower() returns a string with entirely lowercase letters.

Upper() yields a string containing just capital letters.

strip() removes the leading and trailing whitespace from a string.

startswith() – returns True if a string begins with the provided substring.

endswith() – returns True if a string terminates with the provided substring.

List Functions

Python comes with several built-in routines for handling lists. Programming makes significant use of lists, another essential data structure in Python. Among the list functions in Python that are most frequently used are:

append()- appends an element to a list’s end.

remove() -eliminates a specified entry from a list at its first instance.

sort() – arranges a list of items

reverse()-This function flips a list’s element order.

The count() -function calculates a given element’s frequency of occurrence in a list.

Here are some further instances of Python’s built-in list functions:

extend() appends a list’s entries to the end of another list.

index() – yields the index of a given element’s first instance in a list

insert() and appends a new element at the specified index to a list.

pop() takes an element from a list and returns it at a given index.

clear() eliminates every element from a list.Want to become a Python Developer? Get certified with Python Online Training.

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Python Built-in Functions List

1. print()

You can output text or variables to the console using the print() function. It can accept one or more parameters, and by default, it will print each one with a space between them.

Additionally, the print() function takes two optional keyword parameters:



 The end parameter specifies the string to be appended to the end of the output, while the sep argument indicates the separator between the printed items.

2. len ()

To find an object’s length, use the len() function. Any type of iterable, including strings, lists, tuples, and dictionaries, can be the object. It gives back the object’s element count.

3. id()

An object’s unique identification (integer) is returned by the id() function.

An object’s identity is a special identification that it has for the duration of its existence, which is certain to be different from any other object in the system.

When comparing the memory locations of two objects, the id() function and the is keyword are frequently used together.

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4. range()

You can create a sequence of numbers using the built-in range() method. It accepts the following three arguments: step, stop, and start.

 Step indicates the difference between each integer in the sequence. Start and stop arguments specify the sequence’s beginning and finishing points (exclusive).

If you don’t tell it to, it will start at 0 by default. It defaults to 1 if the step is left blank.

5. List ()

Use the built-in function list to build a new list object ().

It can generate a list from that object by providing an iterable object as an argument.  A list is an ordered collection of modifiable components enclosed in square brackets. Discover more with Full Stack Online Course.

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6. tuple()

Use the tuple() function to transform an iterable or sequence into a tuple object. Lists and tuples are comparable, but tuples are unchangeable once constructed.

 An iterable is required as an input for the tuple() function, which yields a tuple object. If the argument is an existing tuple, it returns a copy of it.

7. dict()

To make a new dictionary or transform an iterable of key-value pairs into a dictionary, you can use the dict() function. It gives back a fresh dictionary object.

 The following is the syntax to use the dict() function:





where iterable is an object that supports the dict() constructor, and mapping is an object that holds key-value pairs.

8. int()

Use the int() method to turn a specified numeric value into an integer.

It does this by converting a string or number to an integer or, in the absence of any parameters, by returning 0. Return the integer value of x if x is a number. The truncation point for floating point numbers is zero.

Note: You can use int() to convert values of different data kinds, such as texts, boolean values, and floating-point numbers, to integers.

When transforming a string into an integer, it can only have numeric characters. If any characters in the string are not numbers, a ValueError will occur.

9. zip()

Zip is a valuable method for combining iterables into a single object.

 Returning an iterator that creates a sequence of tuples, with the i-th tuple containing the i-th element from each input iterable, accepts two or more iterables as inputs.

If two or more iterables have different lengths, the one ending in the final iterable will be the one with the shortest length.

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10.  filter()

Using a provided function, the filter() method removes entries from a sequence that don’t meet specific requirements.

 After using this function, you can transform the filter object’s output to a list or another iterable type for additional processing.

 The following is the standard syntax for utilizing the filter() function:

filter(function, sequence)

To filter an iterable sequence, we use a function that returns a Boolean result and passes it through the function. If the filter() function returns True for any element in the sequence, then the filter() function returns that element.

11. enumerate()

You can add a counter to an iterable and get it back as an enumerate object using the enumerate() function. This function comes in handy if we need to remember the iterable’s element index.

You can pass an iterable as an argument to the enumerate() method, and it will return a tuple with the index and element itself.

The Bottom Line

To sum up, Python’s built-in functions are a practical resource that can improve code quality and productivity for newcomers.

 Every beginner should be familiar with these 11 built-in functions, which we addressed in this article. Your applications will be more efficient, readable, and concise if you use these functions in your code. Gaining proficiency in these routines will help you become a much better Python coder..Master skills with industry experts at 3RI Technologies.

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