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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.
Jupyter Notebook (formerly IPython Notebook) is a web-based interactive computational environment for creating, executing, and visualizing Jupyter notebooks. It is similar to the notebook interface of other programs such as Maple, Mathematica, and SageMath, a computational interface style that originated with Mathematica in the 1980s. [14]
It also launched PyData community workshops and the Jupyter Cloud Notebook service (Wakari.io). [14] In 2013, it received funding from DARPA. [20] In 2015, the company had two million users including 200 of the Fortune 500 companies [10] and raised $24 million in a Series A funding round led by General Catalyst and BuildGroup. [21]
A notebook interface or computational notebook is a virtual notebook environment used for literate programming, a method of writing computer programs. [1] Some notebooks are WYSIWYG environments including executable calculations embedded in formatted documents; others separate calculations and text into separate sections.
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
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Spyder-Notebook, allowing the viewing and editing of Jupyter Notebooks within the IDE Download Spyder Notebook; Using conda: conda install spyder-notebook -c spyder-ide; Using pip: pip install spyder-notebook; Spyder-Reports, enabling use of literate programming techniques in Python; Spyder-Terminal, adding the ability to open, control and ...
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