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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.
SciPy, [13] [14] [15] a large BSD-licensed library of scientific tools. De facto standard for scientific computations in Python. ScientificPython, a library with a different set of scientific tools; SymPy, a library based on New BSD license for symbolic computation. Features of Sympy range from basic symbolic arithmetic to calculus, algebra ...
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages. Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9] In 2024, Anaconda Inc. has about 300 employees [12 ...
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. [13]
A serialization library. Protocol Buffers: A serialization library similar to FlatBuffers. Shaderc: Tools and library for compiling HLSL or GLSL into SPIRV. American fuzzy lop: A security-oriented fuzzer. Google Guava: Core libraries for Java. Google Closure Tools: JavaScript tools. Google Collaboratory: Write Python code using a Jupyter ...
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.
[10] [11] [12] It is available both in browsers via Jupyter notebooks, [12] [13] and locally on Linux and macOS. [ 14 ] [ 15 ] Mojo aims to combine the usability of a high-level programming language , specifically Python , with the performance of a system programming language such as C++ , Rust , and Zig . [ 16 ]
Google also released Colaboratory, a TensorFlow Jupyter notebook environment that does not require any setup. [69] It runs on Google Cloud and allows users free access to GPUs and the ability to store and share notebooks on Google Drive .