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  2. Python (programming language) - Wikipedia

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

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 70] and metaobjects ). [ 71] Many other paradigms are supported via extensions, including design by ...

  3. 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 ...

  4. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    45 million (April 2020. [update] ) [2] Current status. Up. Codecademy is an American online interactive platform that offers free coding classes in 12 different programming languages including Python, Java, Go, JavaScript, Ruby, SQL, C++, C#, and Swift, as well as markup languages HTML and CSS.

  5. Programming languages used in most popular websites

    en.wikipedia.org/wiki/Programming_languages_used...

    One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.

  6. International Collegiate Programming Contest - Wikipedia

    en.wikipedia.org/wiki/International_Collegiate...

    The International Collegiate Programming Contest, known as the ICPC, is an annual multi-tiered competitive programming competition among the universities of the world. [ 1] Directed by ICPC Executive Director and Baylor Professor William B. Poucher, the ICPC operates autonomous regional contests covering six continents culminating in a global ...

  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. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  9. pytest - Wikipedia

    en.wikipedia.org/wiki/Pytest

    Pytest. Pytest is a Python testing framework that originated from the PyPy project. It can be used to write various types of software tests, including unit tests, integration tests, end-to-end tests, and functional tests. Its features include parametrized testing, fixtures, and assert re-writing.