Dargslan

Illustration showing Python decorators: a wrapper function modifying another functions behavior, adding logging timing or access checks without changing the original function code.

Illustration of printing formatted strings: laptop screen shows code examples with printf, format() and f-strings, highlighted placeholders and variables, arrows and output preview

Illustration of Python code demonstrating if __name__ == "__main__": usage, showing import statements, function definitions, and script execution flow for running a module directly

Diagram showing Python import styles: import module; from module import name; from pkg.module import name as alias; showing namespaces, aliases and specific imports. with examples.

Illustration of Python's range() creating integer sequences from start to stop (exclusive) with optional step, commonly used for loops, indexing, and sequence generation. for loops

Illustration shows Python code writing data to a file: opening a file with open(), writing strings/bytes, using write() or writelines(), and closing or using with context manager..

Illustration of reading a text file in Python: use with open('file.txt','r') to read contents, read(), readline(), or iterate lines to process text safely and efficiently. Securely

Illustration of a lambda function: a small anonymous function used inline to compute a value or transform data, showing parameters, a lambda symbol, and input/output flow. Diagram.

Illustration of Python exception handling: try block with code, except catching specific and generic exceptions, finally block cleanup, and logs showing visual error handling flow.

Tuples are immutable collections (parentheses), fixed-size and hashable for keys; lists are mutable sequences (brackets), variable-length for ordered, changeable elements. Use cases.