Understanding primitive data types is crucial for writing efficient Python code. Here are the key ones:
️ Integers (int) – Whole numbers, used for counting and indexing.
️ Floats (float) – Decimal values, great for precise calculations.
️ Booleans (bool) – True or False, essential for logic and control flow.
️ NoneType – Represents the absence of a value (Python’s equivalent of “null”).
️ Complex numbers (complex) – Used for mathematical and scientific computations.
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Mastering these basics will help you build a strong foundation in Python programming.
原文链接:Mastering Primitive Data Types in Python – What Every Beginner Should Know
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