22 Python universal formulas to improve code efficiency
Python is a powerful programming language with rich libraries and modules that help developers write code more efficiently. In daily development, there are some commonly used Python formulas that can help us improve code efficiency. Below are 22 summarized and organized Python universal formulas that can work in different scenarios.
- list deduplication
unique_list = list(set(original_list))
The above code can quickly remove duplicate elements in the original list and get a new list with unique elements.
- List flipping
reversed_list = original_list[::-1]
Use the slice operation [::-1] to quickly flip the list.
- string reverse
reversed_string = original_string[::-1]
Likewise, strings can be reversed using the slice operation [::-1].
- list concatenation
merged_list = list1 + list2
Merge two lists into a new list.
- String concatenation
merged_string = str1 + str2
Merges two strings into a new string.
- Check if the list is empty
if not my_list:
# 列表为空的处理逻辑
By judging whether the list is empty, the corresponding processing logic can be executed.