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Integers are whole numbers, while floats are decimals. Use int for counting and floats for precision, but be wary of floating-point rounding errors in calculations.
Get ready for your first Python interview. This guide covers fundamental concepts with explanations and examples to boost your confidence and understanding.
Learn how Python for loops work, their syntax, and how to use them to iterate through sequences, with examples and best practices.
A guide to Matplotlib for Python data visualization, covering installation, key components, and daily techniques for creating plots and multi-panel figures.
Learn how Python's "import as" lets you create shorter or clearer module names to simplify and avoid naming conflicts in your code.
The nonlocal keyword in Python allows nested functions to modify variables from their outer (enclosing) scope, addressing issues where global fails and preventing unexpected behavior in variable modification.
Explore beginner-friendly Python OOP projects to practice classes, inheritance, encapsulation, and polymorphism while building practical applications.
Open source contributions boost Python skills and build a stronger portfolio than a resume. Start with beginner-friendly projects to gain experience and showcase your abilities.
Learn how to create sets in Python efficiently using concise and readable set comprehensions, improving code quality and Pythonic style.
Python's special methods like len and add let custom classes mimic built-in types, enabling expressive code with len(obj) or obj + other. Essential for intuitive class behavior.