Python offers a rich set of built-in functions that are always available for use, without the need for imports. These functions provide a wide range of capabilities, such as type conversion, mathematical calculations, sequence processing, and more. This guide will walk through many of the most commonly used built-in functions in Python with syntax explanations and practical examples.
Built-in functions in Python are predefined in the Python interpreter. They help simplify programming tasks by providing convenient functionality that is ready to use. There are over 60 built-in functions, but here we will cover the most frequently used ones across different areas of development.
Converts a number or a string to an integer.
x = int("10") # Output: 10
Converts an integer or string to a floating-point number.
y = float("3.14") # Output: 3.14
Converts an object to a string.
z = str(123) # Output: "123"
Returns the boolean value of an object.
print(bool(0)) # False
print(bool("abc")) # True
Converts an iterable (like a string or tuple) to a list.
lst = list("hello") # Output: ['h', 'e', 'l', 'l', 'o']
Converts an iterable to a tuple.
tpl = tuple([1, 2, 3]) # Output: (1, 2, 3)
Returns a set object from an iterable, removing duplicates.
s = set([1, 2, 2, 3]) # Output: {1, 2, 3}
Creates a dictionary object.
d = dict(name="Alice", age=30) # Output: {'name': 'Alice', 'age': 30}
Returns the absolute value of a number.
print(abs(-5)) # Output: 5
Rounds a number to a given precision in decimal digits.
print(round(3.456, 2)) # Output: 3.46
Returns the power of a number.
print(pow(2, 3)) # Output: 8
Returns a tuple of quotient and remainder.
print(divmod(9, 2)) # Output: (4, 1)
Returns the number of items in a sequence.
print(len("Python")) # Output: 6
Returns the total sum of all elements in an iterable.
print(sum([1, 2, 3])) # Output: 6
Returns the smallest item in an iterable.
print(min([1, 2, 3])) # Output: 1
Returns the largest item in an iterable.
print(max([1, 2, 3])) # Output: 3
Returns a new sorted list.
print(sorted([3, 1, 2])) # Output: [1, 2, 3]
Returns an iterator that accesses the given sequence in the reverse order.
print(list(reversed([1, 2, 3]))) # Output: [3, 2, 1]
Returns the type of an object.
print(type(5)) # Output: <class 'int'>
Returns the identity of an object.
a = 10
print(id(a))
Checks if an object is of a certain type.
print(isinstance("Hello", str)) # Output: True
Checks if the object appears callable (like a function).
print(callable(len)) # Output: True
Takes input from the user.
name = input("Enter your name: ")
print("Hello", name)
Prints the given object(s) to the standard output.
print("Hello", "World", sep=", ")
Applies a function to every item of an iterable.
def square(x): return x*x
print(list(map(square, [1, 2, 3])))
Filters items out of an iterable using a function that returns True or False.
def is_even(n): return n % 2 == 0
print(list(filter(is_even, [1, 2, 3, 4])))
Combines two or more iterables into tuples.
a = [1, 2, 3]
b = ['a', 'b', 'c']
print(list(zip(a, b))) # Output: [(1, 'a'), (2, 'b'), (3, 'c')]
Adds an index to an iterable.
for index, value in enumerate(["apple", "banana"]):
print(index, value)
Evaluates a string as Python code.
x = 1
print(eval("x + 1")) # Output: 2
Executes Python code dynamically.
exec("for i in range(3): print(i)")
Compiles source into a code or AST object.
code = compile('a + b', 'file', 'eval')
print(eval(code, {'a': 1, 'b': 2}))
Checks if an object has a given attribute.
class Person:
name = "Alice"
print(hasattr(Person, "name")) # Output: True
Returns the value of the named attribute.
print(getattr(Person, "name")) # Output: Alice
Sets the value of the named attribute.
setattr(Person, "age", 25)
print(Person.age)
Deletes the named attribute.
delattr(Person, "age")
Built-in functions in Python are a powerful feature that simplifies many common programming tasks. From type conversions and mathematical calculations to working with collections and introspecting objects, these functions improve code readability and efficiency. Mastering these built-in functions is essential for becoming a proficient Python developer.
In this guide, weβve explored over 30 common Python built-in functions. Remember, Pythonβs official documentation offers a full list of built-in functions that can further enhance your development workflow. Experiment with these functions to fully understand their potential in various applications, from simple scripts to complex data processing pipelines.
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
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The following is a step-by-step guide for beginners interested in learning Python using Windows.
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Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
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