605eaa72be
* Added a flag to allow access of hidden files The flag '--allow-hidden' will allow Tornado to access hidden files such as '.images/my_img.jpg' * Fixed jupyterlab not following allow-hidden Jupyterlab stores its options in a different location than the standard notebook. Added the ability to check there as well. * Updated implementation for any app Previously I was accessing the settings dict based on the name of the app that was being used. ex 'NotebookApp', or 'LabApp'. Now the setting is passed directly into the Tornado settings, and can be accessed via a more general method. * Added/fixed unit tests for test_hidden_files Fixed broken unit tests by setting the default to allow_hidden=False then added unit test in FilesTest:test_hidden_files that checks for the accessibility of files with allow_hidden=True * allow-hidden now works everywhere Previously allow-hidden flag only allowed hidden files to be accessed via tornado. Now you can use the allow-hidden flag to access hidden directories and files via the filebrowser. * Remove --allow-hidden alias * Move allow_hidden option onto ContentsManager * Use try/finally to ensure allow_hidden option is set back to False after test * Allow access to hidden files, but don't list them for now * Simplify hidden check for listing again * Fix indentation
Jupyter Notebook
The Jupyter notebook is a web-based notebook environment for interactive computing.
Jupyter notebook, the language-agnostic evolution of IPython notebook
Jupyter notebook is a language-agnostic HTML notebook application for Project Jupyter. In 2015, Jupyter notebook was released as a part of The Big Split™ of the IPython codebase. IPython 3 was the last major monolithic release containing both language-agnostic code, such as the IPython notebook, and language specific code, such as the IPython kernel for Python. As computing spans across many languages, Project Jupyter will continue to develop the language-agnostic Jupyter notebook in this repo and with the help of the community develop language specific kernels which are found in their own discrete repos. [The Big Split™ announcement] [Jupyter Ascending blog post]
Installation
You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.
For a local installation, make sure you have pip installed and run:
$ pip install notebook
Usage - Running Jupyter notebook
Running in a local installation
Launch with:
$ jupyter notebook
Development Installation
See CONTRIBUTING.rst for how to set up a local development installation.
Contributing
If you are interested in contributing to the project, see CONTRIBUTING.rst.