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  2. Interning (computer science) - Wikipedia

    en.wikipedia.org/wiki/Interning_(computer_science)

    This creational pattern [1] is frequently used for numbers and strings in different programming languages. In many object-oriented languages such as Python, even primitive types such as integer numbers are objects. To avoid the overhead of constructing a large number of integer objects, these objects get reused through interning.

  3. 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. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  4. Multiple dispatch - Wikipedia

    en.wikipedia.org/wiki/Multiple_dispatch

    Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]

  5. Off-side rule - Wikipedia

    en.wikipedia.org/wiki/Off-side_rule

    The off-side rule describes syntax of a computer programming language that defines the bounds of a code block via indentation. [1] [2]The term was coined by Peter Landin, possibly as a pun on the offside law in association football.

  6. Udacity - Wikipedia

    en.wikipedia.org/wiki/Udacity

    Udacity is the outgrowth of free computer science classes offered in 2011 through Stanford University. [9] Thrun has stated he hopes half a million students will enroll, after an enrollment of 160,000 students in the predecessor course at Stanford, Introduction to Artificial Intelligence, [10] and 90,000 students had enrolled in the initial two classes as of March 2012.

  7. 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 ...

  8. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    Code Year was a free incentive Codecademy program intended to help people follow through on a New Year's Resolution to learn how to program, by introducing a new course for every week in 2012. [32] Over 450,000 people took courses in 2012, [33] [34] and Codecademy continued the program into 2013. Even though the course is still available, the ...

  9. Category:Python (programming language) libraries - Wikipedia

    en.wikipedia.org/wiki/Category:Python...

    Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.