Python
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| Python | |
|---|---|
| Name | Python |
| Paradigm | Multi-paradigm: object-oriented, imperative, functional, procedural, reflective |
| Designer | Guido van Rossum |
| Developer | Python Software Foundation |
| Released | 20 February 1991 |
| Latest release version | 3.13.0 |
| Latest release date | 01 October 2024 |
| Typing | Duck, dynamic, strong |
| License | Python Software Foundation License |
| Website | https://www.python.org/ |
Python. It is a high-level, general-purpose programming language created by Guido van Rossum and first released in 1991. Its design philosophy emphasizes code readability through the use of significant indentation, and its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. The language is maintained by the Python Software Foundation, a non-profit organization, and enjoys widespread adoption across numerous fields.
Overview
Python supports multiple programming paradigms, including structured, object-oriented, and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. The language's reference implementation, CPython, is written in C and is developed by a global community of volunteers. Other notable implementations include PyPy, Jython, and IronPython, which target different runtime environments like the Java Virtual Machine and the .NET Framework. Its versatility has made it a foundational tool in areas ranging from web development to scientific computing.
History
The language was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica in the Netherlands as a successor to the ABC language. Van Rossum aimed to create a language that was easy to read and powerful. The first public release, version 0.9.0, occurred in 1991. Major milestones include the release of Python 2.0 in 2000, which introduced features like list comprehensions and a garbage collector, and Python 3.0 in 2008, a major, backward-incompatible release designed to rectify fundamental design flaws. The end-of-life for Python 2.7 in 2020, orchestrated by the Python Software Foundation, marked a significant consolidation of the community around the modern version.
Features and philosophy
The core philosophy is encapsulated in the aphorism "The Zen of Python," which includes principles like "Beautiful is better than ugly" and "Simple is better than complex." It is dynamically typed and uses duck typing and late binding. A key feature is its use of significant whitespace to delimit code blocks, which enforces a uniform visual structure. The language also provides high-level data types, such as lists and dictionaries, and supports exception handling and automatic memory management through reference counting and a cycle-detecting garbage collector.
Syntax and semantics
The syntax is designed for readability and often resembles pseudocode. Key syntactic elements include the use of colons and indentation to define suites, rather than braces or keywords. Common statements include the `if` statement, `for` loop, and `while` loop. It uses a clear and concise syntax for defining classes and functions. The semantics are defined by the CPython reference implementation, and the language supports metaprogramming capabilities through decorators and metaclasses. The interactive REPL allows for rapid prototyping and testing.
Libraries and frameworks
The extensive ecosystem is a major strength, anchored by the Python Package Index (PyPI), which hosts hundreds of thousands of third-party packages. For web development, dominant frameworks include Django, which follows the MVC pattern, and Flask, a microframework. In data science, essential libraries are NumPy for numerical computing, pandas for data manipulation, and Matplotlib for visualization. For machine learning and artificial intelligence, Scikit-learn, TensorFlow, and PyTorch are industry standards. Other notable libraries include Requests for HTTP and SQLAlchemy for database access.
Applications
It is ubiquitously used in web development for both back-end services and web frameworks. In scientific computing and research, it is a primary tool at institutions like CERN and NASA. The language is fundamental to the fields of data analysis, machine learning, and artificial intelligence, powering systems at companies like Google, Meta, and OpenAI. It is also employed for scripting and automation, desktop applications with GUIs via Tkinter or PyQt, and in education as a first language due to its gentle learning curve. Its role in DevOps is cemented through tools like Ansible.