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  2. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [32] Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming.

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python syntax and semantics. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java.

  4. Django (web framework) - Wikipedia

    en.wikipedia.org/wiki/Django_(web_framework)

    Django (/ ˈdʒæŋɡoʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python -based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern. [7][8] It is maintained by the Django Software Foundation (DSF), an independent organization established in the US as a 501 (c) (3) non-profit. Django's primary goal is to ...

  5. Zen of Python - Wikipedia

    en.wikipedia.org/wiki/Zen_of_Python

    The Zen of Python output in a terminal The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in 1999. [3 ...

  6. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

  7. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  8. Skeleton (computer programming) - Wikipedia

    en.wikipedia.org/.../Skeleton_(computer_programming)

    Skeleton programming is a style of computer programming based on simple high-level program structures and so called dummy code. Program skeletons resemble pseudocode , but allow parsing , compilation and testing of the code.

  9. IDLE - Wikipedia

    en.wikipedia.org/wiki/IDLE

    IDLE (short for Integrated Development and Learning Environment) [2][3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4][5] It is packaged as an optional part of the Python packaging with many Linux distributions. It is completely written in Python and ...