Python (programming language)

Python is a high-level, general-purpose programming language known for readable syntax, dynamic typing, and a large standard library. It supports multiple programming styles and is used in fields ranging from automation to scientific computing.

Python interpreter: A program that executes Python code, either directly or after translating it into bytecode. It runs Python source code and mediates access to the language’s runtime.
Django: A Python web framework that provides components for building database-backed websites. It shows how Python supports full-featured web application development.
Guido van Rossum: A Dutch programmer who created Python and served as its lead developer for many years. He began the language and guided its early design and development.
C (programming language): A compiled, general-purpose language that provides low-level memory access and is widely used for systems software. C offers finer control and often faster execution, while Python favors convenience and readability.
Python syntax: The rules governing how valid Python expressions, statements, and program structures are written. Indentation and concise expressions give Python code much of its distinctive readability.
NumPy: A Python library for multidimensional arrays and efficient numerical computation. Its array operations make Python practical for scientific and engineering workloads.
ABC (programming language): A teaching-oriented programming language developed at CWI in the 1980s. Python inherited design ideas from ABC while addressing limitations its creator encountered.
Java (programming language): A class-based, statically typed language designed to run on the Java Virtual Machine. Java’s declared types and virtual-machine model contrast with Python’s dynamic typing and runtime.
Dynamic typing: A typing discipline in which types are associated with values at runtime rather than fixed to variable declarations. Python variables can refer to values of different types without declarations.
pandas: A Python library for manipulating and analyzing labeled tabular and time-series data. It underpins many Python workflows for cleaning and exploring datasets.

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