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  2. Mode (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mode_(statistics)

    The mode of a sample is the element that occurs most often in the collection. For example, the mode of the sample [1, 3, 6, 6, 6, 6, 7, 7, 12, 12, 17] is 6. Given the list of data [1, 1, 2, 4, 4] its mode is not unique. A dataset, in such a case, is said to be bimodal, while a set with more than two modes may be described as multimodal.

  3. Python (programming language) - Wikipedia

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

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  4. Immediate mode (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Immediate_mode_(computer...

    Immediate mode is an API design pattern in computer graphics libraries, in which . the client calls directly cause rendering of graphics objects to the display, or in which; the data to describe rendering primitives is inserted frame by frame directly from the client into a command list (in the case of immediate mode primitive rendering),

  5. Dynamic mode decomposition - Wikipedia

    en.wikipedia.org/wiki/Dynamic_mode_decomposition

    In data science, dynamic mode decomposition (DMD) is a dimensionality reduction algorithm developed by Peter J. Schmid and Joern Sesterhenn in 2008. [ 1 ] [ 2 ] Given a time series of data, DMD computes a set of modes, each of which is associated with a fixed oscillation frequency and decay/growth rate.

  6. Position-independent code - Wikipedia

    en.wikipedia.org/wiki/Position-independent_code

    When a linker links modules to create a shared library, it merges the GOTs and sets the final offsets in code. It is not necessary to adjust the offsets when loading the shared library later. [7] Position-independent functions access global data start by determining the absolute address of the GOT given their own current program counter value.

  7. Automatic differentiation - Wikipedia

    en.wikipedia.org/wiki/Automatic_differentiation

    Forward mode automatic differentiation is accomplished by augmenting the algebra of real numbers and obtaining a new arithmetic. An additional component is added to every number to represent the derivative of a function at the number, and all arithmetic operators are extended for the augmented algebra.

  8. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Emacs, with the built-in python-mode. [1] Eric, an IDE for Python and Ruby; Geany, IDE for Python development and other languages. IDLE, a simple IDE bundled with the default implementation of the language. Jupyter Notebook, an IDE that supports markdown, Python, Julia, R and several other languages. Komodo IDE an IDE PHOTOS Python, Perl, PHP ...

  9. MicroPython - Wikipedia

    en.wikipedia.org/wiki/MicroPython

    MicroPython is a lean and efficient implementation of Python with libraries similar to those in Python. [25] Some standard Python libraries have an equivalent library in MicroPython renamed to distinguish between the two. MicroPython libraries are smaller with less popular features removed or modified to save memory. [19] The three types of ...