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 article explains how to convert between strings, lists, dictionaries, and JSON in Python using ast.literal_eval, json.loads, and json.dumps, and demonstrates practical applications such as API response handling in automation testing.
This article introduces Java 21's new Template Expressions, explains how STR and FMT processors enable safe, efficient string interpolation and formatting—including multi‑line strings, arithmetic, method calls, and object fields—while providing practical code examples and best‑practice guidance.
This article explains how to use Python's built‑in casting functions—int(), float(), str(), bool(), list(), tuple(), set() and dict()—to convert between numeric, string, boolean, sequence, and mapping types, providing clear code examples for each conversion scenario.
This short tutorial demonstrates how Python's datetime.date object displays differently with __str__ for a readable date string and __repr__ for an unambiguous constructor representation, showing the interpreter’s default use of __repr__ when inspecting objects.
The article explains how Python’s !s and !r format specifiers invoke the __str__ and __repr__ methods respectively, illustrates their output differences with examples, and discusses when each representation is appropriate for debugging and readable string conversion.
Amap’s visual‑technology pipeline automatically generates and updates POI names by crowdsourcing street‑level images, applying deep‑learning scene‑text recognition, dual‑branch classification of text attributes, and a BERT‑plus‑graph‑attention model that selects and orders recognized text, achieving about 95 % naming accuracy.
