Comprehensive Guide to Python Built-in Functions with Examples
This article presents a detailed overview of Python's 66 built-in functions, explaining each function's purpose and providing concise example code snippets that demonstrate typical usage, making it a valuable resource for beginners and intermediate programmers seeking to master fundamental Python capabilities.
The article enumerates all 66 built-in functions provided by Python, offering a brief description of each function's behavior and a short code example that illustrates its typical usage.
Example: abs(x) returns the absolute value of a number.
x = -10
print(abs(x)) # 输出:10Example: all(iterable) returns True if every element in the iterable is true, otherwise False.
iterable = [True, True, False]
print(all(iterable)) # 输出:FalseExample: any(iterable) returns True if any element in the iterable is true, otherwise False.
iterable = [False, False, True]
print(any(iterable)) # 输出:TrueSimilar concise explanations and code snippets are provided for functions such as bin, bool, bytearray, bytes, callable, chr, classmethod, compile, complex, delattr, dict, dir, divmod, enumerate, eval, exec, filter, float, format, frozenset, getattr, globals, hasattr, hash, help, hex, id, input, int, isinstance, issubclass, iter, len, list, locals, map, max, memoryview, min, next, object, oct, open, ord, pow, print, property, range, repr, reversed, round, set, setattr, slice, sorted, staticmethod, str, sum, super, tuple, type, vars, and zip, each accompanied by a short illustrative snippet.
The collection serves as a quick reference for Python developers to understand and apply the language's core built-in functionalities.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Python Programming Learning Circle
A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
