Python for Data Science: Chapter 1: Basics of Python

Python Language Semantics

In programming semantics means the meaning of statements.

Language Semantics

• In programming semantics means the meaning of statements.

• The semantics of the python language describes how python programs behave when executed. Syntax is the structure and it indicates how the code must be written. Semantics is the behavior and it indicates what the code means and does.

• The key semantic features of python are ‒

1) Dynamic typing : Python determines the type of a variable at runtime and not at the compile time.

2) Object based semantics: Everything in python is an object.

3) Name binding: Variables in python are just names bound to objects.

4) Indentation define scope: The meaning of a code block in python depends indentation not braces.

5) Automatic memory management: Python uses garbage collection and reference counting to manage memory automatically.

6) Exception based error handling: Python's semantics define that runtime errors are handled using exceptions.

7) Interpreted execution semantics: Python code is executed line by line by the interpreter. That also means semantic errors are caught during execution and not before.


Python for Data Science: Chapter 1: Basics of Python : Tag: Computer Programming, Python, Data Science : - Python Language Semantics


Python for Data Science: Chapter 1: Basics of Python



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