Lisa's notes: musings on daily life, work, study, personal growth, and casual reflections.
This tutorial explains Python's simple and compound assignment operators, showing how = assigns values and how operators like +=, -=, *=, /=, %=, **=, and //= combine arithmetic with assignment, illustrated with concrete code examples and their output, while noting Python lacks ++/--.
The article explains that in Python the + operator joins two strings into one, demonstrates this with code examples, and warns that adding a number to a string raises a TypeError, illustrating the rule with sample output and error messages.
This tutorial explains Python’s bool() function, lists the values that evaluate to False, demonstrates converting numbers, strings, collections, and None to booleans, and shows how implicit conversion works in conditional statements, with concrete code examples for each case.
This tutorial explains why type conversion is needed in Python, describes the int(), str(), float() and bool() functions with their parameters, and provides a concrete example showing how to turn user input from a string into an integer for arithmetic.
This tutorial explains how Python's input() function works, covering its syntax, behavior, and return type, and provides concrete examples such as prompting for a password and age, illustrating how user input is captured and displayed in Python 3.
This tutorial walks through Python 3's six standard data types—Number, String, List, Tuple, Dictionary, and Set—showing concise code snippets for each type, their typical usage, and the exact console output produced.
This article introduces Python's print() function, explaining its purpose of displaying program results and detailing each parameter—self, *args, sep, end, and file—so beginners can understand how to control output formatting and destinations.
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This guide explains the purpose of Python identifiers, outlines the character and naming rules—including case sensitivity and keyword restrictions—provides common naming patterns such as boolean prefixes and collection naming, and offers best‑practice recommendations for clear, maintainable code.
This article explains the importance of comments in Python, describing how they improve code readability for collaborators and future maintenance, and outlines the two comment styles—single‑line with # and multi‑line with triple quotes—along with practical examples.
