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  2. OpenShot - Wikipedia

    en.wikipedia.org/wiki/OpenShot

    OpenShot added support for ChromeOS in version 2.6.0 (released in 2021). [10] There is an unofficial portable version beginning in 2020. [11] OpenShot is written in Python, PyQt5, C++ and offers a Python API. [12] OpenShot's core video editing functionality is implemented in a C++ library, libopenshot. The core audio editing is based on the ...

  3. Spyder (software) - Wikipedia

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

    It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

  4. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.

  5. Randomness extractor - Wikipedia

    en.wikipedia.org/wiki/Randomness_extractor

    Intuitively, an extractor takes a weakly random n-bit input and a short, uniformly random seed and produces an m-bit output that looks uniformly random. The aim is to have a low d {\displaystyle d} (i.e. to use as little uniform randomness as possible) and as high an m {\displaystyle m} as possible (i.e. to get out as many close-to-random bits ...

  6. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    The PRNG-generated sequence is not truly random, because it is completely determined by an initial value, called the PRNG's seed (which may include truly random values). Although sequences that are closer to truly random can be generated using hardware random number generators , pseudorandom number generators are important in practice for their ...

  7. Random seed - Wikipedia

    en.wikipedia.org/wiki/Random_seed

    A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator.. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.

  8. /dev/random - Wikipedia

    en.wikipedia.org/wiki/Dev/random

    The /dev/urandom device typically was never a blocking device, even if the pseudorandom number generator seed was not fully initialized with entropy since boot. Not all operating systems implement the same methods for /dev/random and /dev/urandom. This special file originated in Linux in 1994. It was quickly adopted by other Unix-like operating ...

  9. Procedural generation - Wikipedia

    en.wikipedia.org/wiki/Procedural_generation

    Different models can be generated by changing both deterministic parameters and a random seed. In computing, procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated randomness and processing power.