Comprehensive Overview of Python's 35 Keywords with Explanations and Code Samples

This guide enumerates all 35 Python keywords and provides concise explanations for each, grouped by their functional categories such as logical operators, conditional statements, loops, Boolean values, flow control, exception handling, module import, functions, classes, lambda expressions, variable scope, and asynchronous programming.

Logical operators are demonstrated with a simple example:

# 1. and, or, not (logical operators)
a = 5 > 3 and 1 < 2
b = 5 > 3 or 1 < 2
c = not (5 < 3)
print(a, b, c)

Conditional statements (if, elif, else) are illustrated by prompting for an age and printing a corresponding category:

# 2. if, elif, else (conditional statements)
age = int(input("请输入您的年龄："))
if age < 18:
    print(f"您的岁数是{age},是一个未成年人")
elif age < 40:
    print(f"您的岁数是{age},是一个青年人")
else:
    print(f"您的岁数是{age},是一个中老年人")

Loop constructs (for, while) are shown with iteration over a list and a counting loop:

# 3. for, while (loop statements)
languages = ["python", "java", "ruby"]
for i in languages:
    print(i, end="|")
print("-----分隔符-----")
a = 0
while a < 10:
    print(a, end="|")
    a += 1

Other keywords such as True/False, continue/break, pass, try/except/finally/raise, import/from/as, def/return, class, lambda, del, global/nonlocal, in/is, None, assert, with, yield, and async/await are each described with their purpose and a short code snippet, for example:

# 4. True, False (boolean values)
print(3 > 5)
print("p" in "python")

# 5. continue, break (loop control)
for i in range(10):
    if i == 5:
        continue
    print(i, end="|")
print()
for i in range(10):
    if i == 5:
        break
    print(i, end="|")

# 7. with (file handling)
with open("test001.txt", "r") as f:
    print(f.read())

# 18. yield (generator)
def yield_test():
    yield 10
print(yield_test())
print(next(yield_test()))

# 19. async, await (asynchronous programming)
async def test2(i):
    r = await other_test(i)
    print(i, r)
async def other_test(i):
    r = requests.get(i)
    await asyncio.sleep(4)
    return r

Each section includes the expected output screenshots in the original article, reinforcing the learning experience for readers new to Python.