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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.
a Jupyter-based notebook environment for developing and executing interactive computing by JupyterLab instances. Each JupyterLab is (i) preconfigured with libraries and packages to ease the execution of common data analytics tasks, and (ii) provides access to the VRE Workspace enabling sharing of resources with other members of the same working ...
BioJupies is a web-based platform that provides complete RNA-seq analysis solution from free alignment service to a complete data analysis report delivered as an interactive Jupyter Notebook. BioQueue is a web-based queue engine designed preferentially to improve the efficiency and robustness of job execution in bioinformatics research by ...
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 .
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
All my data were collected using a Jupyter notebook written in the R language. The data set is stored in a CSV file. Comments and feedback are welcome on my Wikidata talk page!
The iris data set is widely used as a beginner's dataset for machine learning purposes. The dataset is included in R base and Python in the machine learning library scikit-learn, so that users can access it without having to find a source for it. Several versions of the dataset have been published. [8]
The updated platform also curated featured datasets and collections, including those obtained by Freedom of Information Act requests. [3] In August 2018, Enigma released a Python SDK for Enigma Public, designed to make it easier to locate and import public data into a Jupyter notebook or any other Python project using the Enigma Public API. [31 ...