The complete course that teaches you the world’s most popular programming language. 18 modules, 100+ practical exercises, and real projects for your portfolio.
Everything you need to master Python
250+ pages with clear explanations, examples, and illustrations
Hands-on exercises with detailed solutions
Real projects for your portfolio
Once you buy it, it’s yours forever
18 modules structured from simple to advanced
+ 6 additional modules including:
Decorators and Generators • Regular Expressions • Working with APIs (requests) • Databases (SQLite) • Introduction to Data Science (pandas, numpy) • Full Final Project (Flask Web Application)
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List comprehensions are an elegant and concise way to create lists in Python. They let you turn complex for-loops into a single line of code.
List comprehensions are not only shorter, but often faster than traditional for-loops because they are optimized internally by Python.
Basic syntax:
[expression for item in iterable] - basic syntax[expression for item in iterable if condition] - with filtering[expression if condition else other_expression for item in iterable] - with if-else# Traditional method with a for loop
numbers = []
for i in range(1, 6):
numbers.append(i ** 2)
print(numbers) # [1, 4, 9, 16, 25]
# With list comprehension - one line!
squares = [i ** 2 for i in range(1, 6)]
print(squares) # [1, 4, 9, 16, 25]
# With a condition - only even numbers
evens = [x for x in range(10) if x % 2 == 0]
print(evens) # [0, 2, 4, 6, 8]
# With if-else
result = ["even" if x % 2 == 0 else "odd" for x in range(5)]
print(result) # ['even', 'odd', 'even', 'odd', 'even']
Don’t use list comprehensions for complex operations with many conditions—the code becomes hard to read. In those cases, a traditional for-loop is preferable.
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