Python syntax forms the foundation of writing code in the Python programming language. Understanding the syntax is crucial for writing correct and efficient Python programs. In this article, we will explore the fundamental syntax rules of Python and provide code examples to illustrate each concept.
Comments are essential for documenting code and making it more understandable. In Python, comments start with the '#' character and are ignored by the interpreter.
# This is a single-line comment
'''
This is a
multi-line
comment
'''
Variables are used to store values in Python. Python is dynamically typed, meaning you don't need to declare a variable's type explicitly. Here are some examples:
# Integer variable
age = 25
# String variable
name = "John Doe"
# Floating-point variable
pi = 3.14
# Boolean variables
is_active = True
is_valid = False
Python supports standard arithmetic operations: addition, subtraction, multiplication, division, and modulus.
a = 10
b = 3
# Addition
result = a + b
print(result) # Output: 13
# Subtraction
result = a - b
print(result) # Output: 7
# Multiplication
result = a * b
print(result) # Output: 30
# Division
result = a / b
print(result) # Output: 3.3333333333333335
# Modulus
result = a % b
print(result) # Output: 1
Conditional statements allow us to perform different actions based on specific conditions. The if-else statement is a commonly used construct.
age = 18
if age >= 18:
print("You are an adult.")
else:
print("You are a minor.")
Loops enable us to iterate over a sequence of elements. The two most common loops in Python are the for loop and the while loop.
# For loop
fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
print(fruit)
# While loop
count = 0
while count < 5:
print("Count:", count)
count += 1
Understanding Python syntax is essential for writing effectpython.org tutorial ive Python programs. In this article, we covered comments, variables, data types, arithmetic operations, conditional statements, and loops, providing code examples for each concept. By mastering Python syntax, you'll be well-equipped to write clean and efficient Python code.
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Categories : Python
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