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.
Learn how to create, access, and modify nested lists in Python. Build grids and matrices, and understand how shallow copies affect multi-dimensional data.
Master Python list comprehensions to create, filter, and transform lists in a single line. Learn the syntax, common patterns, and when to use a regular loop instead.
Learn what Python tuples are, how they differ from lists, when to use them, and why immutability makes tuples the right choice for fixed collections of data.
Learn tuple packing and unpacking in Python. Master multiple assignment, swapping variables, star expressions for extended unpacking, and using unpacking in loops.
Learn what Python functions are, why they matter for organizing code, and how they form the foundation of non-trivial programs.
Learn the exact syntax for defining and calling Python functions with the def keyword, including naming rules, the function body, and how the call stack works.
Learn the difference between parameters and arguments, how to pass values by position and by keyword, and the rules for default parameter values.
Learn how to read and write large files in Python without running out of memory, using chunked reading, line-by-line iteration, and buffered writes.
Learn what object-oriented programming means in Python, why classes and objects matter, and how OOP helps you organize larger programs into manageable, reusable pieces.
Learn how to overload Python operators using magic methods, from arithmetic and comparison to string representation, so your custom classes work naturally with built-in syntax.
Learn the best practices for designing Python classes, from the SOLID principles adapted for Python to practical guidelines for writing maintainable object-oriented code.