chatgpt enables Python-python_bif

Introduction to Python BIF: Quickly master Python built-in functions

Python is an elegant language, and certain features of it allow a programmer to complete a task in a fraction of the time. Python built-in functions are one such feature. Python BIF (Built-in Functions) is a set of predefined functions in Python, which can be used without additional import libraries or modules. Python BIFs are stored in the __builtins__ module and are loaded automatically when the python interpreter starts or in the shell.

In this article, we will introduce some Python built-in functions in depth to help you understand Python better. There are more than 100 BIFs in Python, and this article will highlight some of the most important functions. If you are new to Python, then this article will be a treasure for you. So, let’s get started.

Common built-in functions

The following are the most commonly used and easy-to-remember BIFs in Python. The specific meaning and usage of these functions will be discussed in detail below.

  • print
  • len
  • type
  • list
  • str
  • range
  • dict
  • set

Important built-in functions

print()

Python’s built-in function print() is used to output content (strings, numbers, etc.) to the terminal. It can output multiple parameters at the same time, where each parameter will be separated by ” ” (a space). We can use the sep parameter to change the separator.

 # output numbers
    print(2021)
    
    # output string
    print('Hello World!')
    
    # Output multiple parameters
    print('Hello', 'World!')
    
    # Output multiple parameters, separated by,
    print('Hello', 'World!', sep=', ')

output:

2021
Hello World!
Hello World!
Hello, World!

len()

The len() built-in function is used to return the length or number of elements of a sequence type (such as string, list, tuple, dictionary, etc.).

 # Get the string length
    my_string = "Python is a great programming language"
    print(len(my_string))
    
    # get list length
    my_list = ['apple', 'banana', 'cherry', 'dragon fruit']
    print(len(my_list))
    
    # Get the length of the tuple
    my_tuple = ('apple', 'banana', 'cherry', 'dragon fruit')
    print(len(my_tuple))
    
    # Get the length of the dictionary
    my_dict = {<!-- -->'name': 'John', 'age': 38, 'country': 'USA'}
    print(len(my_dict))

output:

39
4
4
3

type()

Used to return the data type of the given object.

 # get integer type
    x = 5
    print(type(x))
    
    # get floating point type
    y = 3.14
    print(type(y))
    
    # get string type
    z = 'Hello, World!'
    print(type(z))
    
    # get list type
    my_list = ['apple', 'banana', 'cherry', 'dragon fruit']
    print(type(my_list))
    
    ## Get the tuple type
    my_tuple = ('apple', 'banana', 'cherry', 'dragon fruit')
    print(type(my_tuple))

    # get dictionary type
    my_dict = {<!-- -->'name': 'John', 'age': 38, 'country': 'USA'}
    print(type(my_dict))

output:

<class 'int'>
<class 'float'>
<class 'str'>
<class 'list'>
<class 'tuple'>
<class 'dict'>

list()

The Python built-in function list() is used to convert any iterable object into a list.

 # convert string to list
    my_string = "Hello World"
    list_string = list(my_string)
    print(list_string)
    
    # Convert tuples to lists
    my_tuple = ('apple', 'banana', 'cherry', 'dragon fruit')
    list_tuple = list(my_tuple)
    print(list_tuple)
    
    # Convert the keys of the dictionary to a list
    my_dict = {<!-- -->'name': 'John', 'age': 38, 'country': 'USA'}
    list_dict = list(my_dict. keys())
    print(list_dict)

output:

['H', 'e', 'l', 'l', 'o', ' ', 'W', 'o' , 'r', 'l', 'd']
['apple', 'banana', 'cherry', 'dragon fruit']
['name', 'age', 'country']

str()

Python built-in function str() is used to convert numbers and other types of variables to string type.

 # convert integer to string
    x = 123
    str_x = str(x)
    print(str_x)
    
    # convert float to string
    y = 3.14
    str_y = str(y)
    print(str_y)
    
    # convert list to string
    my_list = ['apple', 'banana', 'cherry', 'dragon fruit']
    str_list = str(my_list)
    print(str_list)
    
    # convert dictionary to string
    my_dict = {<!-- -->'name': 'John', 'age': 38, 'country': 'USA'}
    str_dict = str(my_dict)
    print(str_dict)

output:

123
3.14
['apple', 'banana', 'cherry', 'dragon fruit']
{'name': 'John', 'age': 38, 'country': 'USA'}

range()

The Python built-in function range() is used to generate a sequence of integers within a specified range.

 # Generate a sequence of integers from 1 to 10
    my_range = range(1, 10)
    print(list(my_range))
    
    # Generate a sequence of integers starting from 0
    my_range = range(10)
    print(list(my_range))
    
    # Specify the step size to generate a sequence of integers
    my_range = range(0, 10, 2)
    print(list(my_range))

output:

[1, 2, 3, 4, 5, 6, 7, 8, 9]
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
[0, 2, 4, 6, 8]

dict()

The Python built-in function dict() is used to create a dictionary object.

 # create an empty dictionary
    my_dict = dict()
    print(my_dict)
    
    # Create a dictionary with values
    my_dict = dict(name='John', age=38, country='USA')
    print(my_dict)
    
    # Generate a dictionary from a list
    my_dict = dict(zip(['name', 'age', 'country'], ['John', 38, 'USA']))
    print(my_dict)

output:

{}
{'name': 'John', 'age': 38, 'country': 'USA'}
{'name': 'John', 'age': 38, 'country': 'USA'}

set()

Python’s built-in function set() is used to create an unordered collection of unique elements.

 # create an empty collection
    my_set = set()
    print(my_set)
    
    # create collection from list
    my_set = set([1, 2, 3, 4, 5])
    print(my_set)
    
    # Create collection from string
    my_set = set("Hello, World!")
    print(my_set)

output:

set()
{1, 2, 3, 4, 5}
{',', 'W', 'l', 'o', 'H', 'r', ' ', 'e', ' d', '!'}

Conclusion

Python BIFs are one of the most useful features of the Python programming language. In this article, we introduced some of the most commonly used and important BIFs in Python, such as print, len, type, list, str, range, dict, and set. When you start learning Python, it is very important to understand these functions, because they are closely related to Python programming and are the basis of writing Python code.

The content described above is a small part of the built-in functions commonly used in Python. Python provides many other powerful built-in functions. These functions have different purposes and need to be used as needed in actual development. Learning and using Python built-in functions will greatly improve your programming efficiency.

The last last

This article is generated by chatgpt, and the article has not been modified on the basis of chatgpt. The above is just the tip of the iceberg of chatgpt capabilities. As a general Aigc large model, it just shows its original strength.

For ChatGPT, which subverts the way of working, you should choose to embrace rather than resist. The future belongs to those who “know how to use” AI.

AI Workplace Report Smart Office Copywriting Efficiency Improvement Tutorial Focus on AI + Workplace + Office direction.
The picture below is the overall syllabus of the course
img
img
The picture below is the ai tool used in the AI Workplace Report Smart Office Copywriting Efficiency Improvement Tutorial
img

High-quality tutorial sharing

  • You can learn more about artificial intelligence/Python related content! Just click the color font below to jump!
Learning route guidance (click to unlock) Knowledge positioning People positioning
AI workplace report smart office copywriting efficiency improvement tutorial Advanced level This course is the perfect combination of AI + workplace + office, Through ChatGPT text creation, one-click generation of office copywriting, combined with AI smart writing, easy to handle multi-scenario copywriting. Intelligently beautify PPT, and use AI to accelerate workplace reporting. AI artifact linkage, ten times increase the efficiency of video creation You create a quantitative trading system that is easy to expand, safer, and more efficient
Python actual WeChat ordering applet Advanced level This course is a perfect combination of python flask + WeChat applet, from project construction to Tencent Cloud deployment and online, to create a full-stack food ordering system.