Copy Python Lists
Learn how to copy Python lists using slicing, the copy method, the list constructor, and the copy module. Understand shallow vs deep copies.
Learn Python programming from scratch
Learn how to copy Python lists using slicing, the copy method, the list constructor, and the copy module. Understand shallow vs deep copies.
Understand shallow vs deep copy across all Python collections. Learn when slicing and the copy method are enough, and when you need the deepcopy function.
A quick-reference guide to the most-used methods across Python lists, tuples, sets, and dictionaries. Learn which methods each type shares and which are unique.
Avoid the most frequent Python collection mistakes: aliasing instead of copying, modifying while iterating, using the wrong type for lookups, and shared inner lists.
Learn how Python bitwise operators AND, OR, XOR, NOT, left shift, and right shift manipulate integers at the binary level, and when to use each one.
Learn the practical differences between local and global variables, when to use each, and how to avoid the most common scope-related bugs in Python functions.
Master the two ways to pass arguments to Python functions: by position and by keyword. Learn the rules for mixing them and when to choose each style.
Learn how to set default values for function parameters, the rules for ordering required and optional parameters, and how to avoid mutable default value pitfalls.
Learn how *args lets Python functions accept any number of positional arguments, how it works under the hood as a tuple, and when to use it in your own functions.
Learn how **kwargs lets Python functions accept any number of keyword arguments, how it works as a dictionary, and how to combine it with *args for maximum flexibility.
Understand how Python passes objects to functions, the difference between passing mutable and immutable types, and how to avoid accidental data modification.
Learn how recursive functions work in Python, including base cases, the call stack, recursion depth limits, and when to choose recursion over iteration.