Home Backend Development Python Tutorial Uncover the fog of Python loops and iterations and break down thinking barriers

Uncover the fog of Python loops and iterations and break down thinking barriers

Feb 19, 2024 pm 07:30 PM
iterable object

揭开 Python 循环与迭代的迷雾,打破思维壁垒

Understanding loops and iteration

Loops and iterations are concepts commonly used in programming They allow a program to perform specific actions repeatedly until a certain condition is reached.

  • Loop: is a control flow structure that defines a block of code that is executed repeatedly.
  • Iteration: is a mechanism for traversing sets (such as lists, tuples, strings), which accesses the elements in the set one by one.

for loop

The most common loop in

python is the for loop, which is used to iterate over iterable objects (such as lists, tuples, strings). The following is the syntax of the for loop:

for element in iterable:
# 代码块
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For example:

my_list = ["apple", "banana", "cherry"]

for fruit in my_list:
print(fruit)# 输出:apple banana cherry
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while loop

while A loop is another type of loop that repeatedly executes a block of code based on a condition. The following is the syntax of the while loop:

while condition:
# 代码块
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The while loop continues executing the block of code as long as the condition is true. For example:

count = 0

while count < 5:
print(count)# 输出:0 1 2 3 4
count += 1
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for-in loop

A

for-in loop is a special type of for loop in Python 2.x, which is equivalent to for Loop, but with slightly different syntax:

for element in iterable:
# 代码块
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For example:

my_list = ["apple", "banana", "cherry"]

for element in my_list:# 等同于 for fruit in my_list
print(element)# 输出:apple banana cherry
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range() function

range() The function returns a sequence containing numbers from the given start value to the given end value (exclusively). It is often used to generate loop counts. The following is the syntax of the range() function:

range(start, end, step)
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in:

  • start (optional): The starting value of the sequence, the default is 0
  • end (required): The end value of the sequence (not included)
  • step (optional): sequence step, default is 1

For example:

for i in range(5):
print(i)# 输出:0 1 2 3 4
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List parsing

List comprehension is a concise syntax that can simultaneously create and iterate a list. The following is the syntax for list comprehension:

[expression for element in iterable]
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in:

  • expression: The element to be created
  • element: Elements in the collection to be iterated
  • iterable: Collection to iterate

For example:

my_list = [x ** 2 for x in range(5)]# 创建 [0, 1, 4, 9, 16]
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Practical application

Loops and iterations are widely used in Python. Here are some examples:

  • Traverse the list or tuple
  • Perform character-level operations on strings
  • Generate sequences and patterns
  • AutomationRepetitive tasks
  • Processing multidimensional data

Summarize

Understanding loops and iteration in Python is crucial to writing efficient, readable code. You can easily handle repeatability by mastering the for, while, and for-in loops as well as the range() function and list comprehensions Task, iterate over data and create complex data structures.

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