Learn Python Coding
Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
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“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
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name = "Alice"
age = 30
message = f"Hello, my name is {name} and I am {age} years old."
print(message)
Python tip:
Utilize list comprehensions for concise and efficient list creation.
numbers = [1, 2, 3, 4, 5]
squares = [x * x for x in numbers if x % 2 == 0]
print(squares)
Python tip:
Use enumerate() to iterate over a sequence while also getting the index of each item.
fruits = ["apple", "banana", "cherry"]
for index, fruit in enumerate(fruits):
print(f"{index}: {fruit}")
Python tip:
Use zip() to iterate over multiple iterables in parallel.
names = ["Alice", "Bob"]
ages = [25, 30]
for name, age in zip(names, ages):
print(f"{name} is {age} years old.")
Python tip:
Always use the with statement when working with files to ensure they are properly closed, even if errors occur.
with open("example.txt", "w") as f:
f.write("Hello, world!\n")
f.write("This is a test.")
# File is automatically closed here
Python tip:
Use *args to allow a function to accept a variable number of positional arguments.
def sum_all(*args):
total = 0
for num in args:
total += num
return total
print(sum_all(1, 2, 3))
print(sum_all(10, 20, 30, 40))
Python tip:
Use **kwargs to allow a function to accept a variable number of keyword arguments (as a dictionary).
def display_info(**kwargs):
for key, value in kwargs.items():
print(f"{key}: {value}")
display_info(name="Bob", age=40, city="New York")
Python tip:
Employ defaultdict from the collections module to simplify handling missing keys in dictionaries by providing a default factory.
from collections import defaultdict
data = [("fruit", "apple"), ("vegetable", "carrot"), ("fruit", "banana")]
categorized = defaultdict(list)
for category, item in data:
categorized[category].append(item)
print(categorized)
Python tip:
Use if __name__ == "__main__": to define code that only runs when the script is executed directly, not when imported as a module.
def greet(name):
return f"Hello, {name}!"
if __name__ == "__main__":
print("Running directly as a script.")
print(greet("World"))
else:
print("This module was imported.")
Python tip:
Apply type hints to your code for improved readability, maintainability, and to enable static analysis tools.
def add(a: int, b: int) -> int:
return a + b
result: int = add(5, 3)
print(result)
#PythonTips #PythonProgramming #PythonForBeginners #PythonTricks #CodeQuality #Pythonic #BestPractices #LearnPython
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By: @DataScience4 ✨def add_to_list(item, my_list=[]):
my_list.append(item)
return my_list
# First call seems to work fine
print(add_to_list(1)) # Output: [1]
# Second call has unexpected behavior
print(add_to_list(2)) # Output: [1, 2] -- The list from the first call was reused!
# Third call continues the trend
print(add_to_list(3)) # Output: [1, 2, 3]
The Correct, Idiomatic Solution:
The standard practice is to use None as the default and create a new mutable object inside the function if one isn't provided.
def add_to_list_safe(item, my_list=None):
if my_list is None:
my_list = [] # Create a new list for each call
my_list.append(item)
return my_list
# Each call now works independently
print(add_to_list_safe(1)) # Output: [1]
print(add_to_list_safe(2)) # Output: [2]
print(add_to_list_safe(3)) # Output: [3]
tags: #Python #Interview #CodingInterview #PythonTips #Developer #SoftwareEngineering #TechInterview
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By: @DataScience4 ✨