Dargslan

Illustration comparing mutable and immutable Python objects: mutable types (lists, dicts, sets) all can change in place; immutable (int, str, tuple) can't be altered after creation

Diagram showing step-by-step conversion of text to integers: identify numeric characters, trim whitespace, handle signs and bases, parse with error checking, validate final integer

Illustration showing Python built-in data types: numbers, strings, lists, tuples, sets, dictionaries, booleans, bytes, None; icons and short code examples labeled clearly. with IDs

Image illustrating merging two Python dicts: keys and values combined, duplicates replaced by right entries. Shown methods: dict.update(), {**a,**b} unpacking, and dicts union (|).

Image of code snippets demonstrating ways to check for empty strings: using trim() length or equality checks, handling null vs empty, and example inputs with corresponding outputs.

Image comparing Python '==' vs 'is': '==' tests value equality, 'is' tests object identity. Example shows two objects with same value but different identities and memory addresses.

Illustration showing Python code reversing a string: screen displays code 's = "hello"; reversed = s[::-1]' with arrows indicating chars flipping order and stepwise transformation.

Illustration of Python string operations: splitting a sentence into a list with split(), joining list elements into a string with join(), arrows showing tokens and recombined text.

Illustration showing Python code using the requests module: requests.get with URL, headers, and params, a response status check, and JSON parsing to retrieve API data. w/ examples.