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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    A Jupyter Notebook document is a JSON file, following a versioned schema, usually ending with the ".ipynb" extension. The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software.

  3. PyCharm - Wikipedia

    en.wikipedia.org/wiki/PyCharm

    Scientific tools integration: integrates with Jupyter Notebook, supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy. Front-end and back-end web development: special support for Django, [9] Flask, [10] FastAPI [11] and Pyramid, [12] CSS [13] and JavaScript [14] assistance, Npm, Webpack and other JavaScript tools

  4. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Jupyter Notebook, an IDE that supports markdown, Python, Julia, R and several other languages. Komodo IDE an IDE PHOTOS Python, Perl, PHP and Ruby. NetBeans, is written in Java and runs everywhere where a JVM is installed. Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE

  5. Mojo (programming language) - Wikipedia

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

    Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [30] and allows users to import Python modules. [31] It uses LLVM and MLIR as its compilation backend. [12] [32] [33] The language also intends to add a foreign function interface to call C/C++ and Python code.

  6. IPython - Wikipedia

    en.wikipedia.org/wiki/IPython

    IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name. [ 11 ] [ 12 ] Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia , Python , and R .

  7. Anaconda (Python distribution) - Wikipedia

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

    Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.

  8. Multi-user software - Wikipedia

    en.wikipedia.org/wiki/Multi-user_software

    Multi-user software is computer software that allows access by multiple users of a computer. [1] Time-sharing systems are multi-user systems. Most batch processing systems for mainframe computers may also be considered "multi-user", to avoid leaving the CPU idle while it waits for I/O operations to complete.

  9. Cython - Wikipedia

    en.wikipedia.org/wiki/Cython

    Cython is written in Python and C and works on Windows, macOS, and Linux, producing C source files compatible with CPython 2.6, 2.7, and 3.3 and later versions. The Cython source code that Cython compiles (to C) can use both Python 2 and Python 3 syntax, defaulting to Python 2 syntax in Cython 0.x and Python 3 syntax in Cython 3.x.