Search Results for "jupyter"

This package provides the IPython kernel for Jupyter. IPython provides a rich toolkit to help you make the most of using Python interactively.

...Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases.

Sparkmagic is a set of tools for interactively working with remote Spark clusters in Jupyter notebooks. Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib).

A Jupyter server extension to proxy requests with AWS SigV4 authentication. This server extension enables the usage of the AWS JavaScript/TypeScript SDK to write Jupyter frontend extensions without having to export AWS credentials to the browser. A single /awsproxy endpoint is added on the Jupyter server which receives incoming requests from the browser, uses the credentials on the server to add SigV4 authentication to the request, and then proxies the request to the actual AWS service endpoint. ...

IPython provides a rich toolkit to help you make the most of using Python interactively. Comprehensive object introspection. IPython provides input history, persistent across sessions. Caching of output results during a session with automatically generated references. Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords. Extensible system of ‘magic’ commands for controlling the environment and performing many...