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Demonstrations of JupyterLab

Home Page: https://mybinder.org/v2/gh/jupyterlab/jupyterlab-demo/master?urlpath=lab

License: Other

Jupyter Notebook 97.75% Python 1.70% Dockerfile 0.56%

jupyterlab

jupyterlab-demo's Introduction

JupyterLab Demonstration

This repository contains some demonstrations of JupyterLab, the next generation user interface of Project Jupyter.

Installation

The demo requires mamba, available as part of Mambaforge and the package requirements are described in environment.yml

To install the environment and demofiles, we use pyinvoke. To install pyinvoke with mamba call:

mamba install -c conda-forge invoke packaging pyyaml

Create the environment

To create the conda environment with all the dependencies and jupyterlab extensions for the demo, run:

invoke environment  # optionally --env-name=my-env-name

The default environment name is jupyterlab-demo.

To create the environment and remove previous installation, call:

invoke environment --clean

Activate/deactivate the environment

To activate the conda environment, run:

source activate jupyterlab-demo

To deactivate the conda environment, run:

source deactivate

Additional demo files

The demo includes files from a number of other repositories. To install these files, run:

invoke demofiles

To remove demofiles and download again all:

invoke demofiles --clean

R Language support

To add R language support, run:

invoke r

Julia Language support

To add Julia language support follow the instructions here.

Uninstalling

To uninstall the demofiles and enviornment, call:

invoke clean

Demo guide

The basic outline of the JupyterLab demo is described in the file jupyterlab.md.

External Repositories

Our invoke demofiles clones repos from other authors. The details of these repos are as follows:

Name	Author	License
PythonDataScienceHandbook/LICENSE-CODE	Jake Vanderplas	MIT
PythonDataScienceHandbook/LICENSE-TEXT	Jake Vanderplas	CC-BY-NC-ND-3.0
altair	Jake Vanderplas	BSD 3-clause
Urban-Data-Challenge	Data Canvas	CC-BY-NC-3.0
QuantEcon.notebooks	QuantEcon	BSD 3-clause "New" or "Revised" License
TCGA	Gross et. al.	None Listed
TensorFlow-Examples	Aymeric Damien	MIT

jupyterlab-demo's People

Contributors

Stargazers

Watchers

Forkers

jasongrout jzf2101 ellisonbg fermium sccolbert ian-r-rose blink1073 zsailer herbertwang-me rmatam zonca gnestor afshin mariusvniekerk choldgraf croddin eriknomitch renecnielsen radovankavicky gapdata 9kwon fhiyo frederictost datalayer-externals jonititan josemarfdc forero henfee z-efsa vidartf afcarl g271828o mwengren i386uk saulshanabrook kirstiejane kfinc lresende nathanjgaul axiezai btanalytics nunofernandes-plight seanreed1111 didisegal biogeek dinomoli310 johnnyqian korhadris aureliob1b1 sylvaincorlay satsir zirzikichi78 bdolly stjordanis paulbuis betatim leichong2019 avijeetprasad annefou jpizzle34 phsheth dharmaquark dayu vinnycholewa pandapip1 myhololens statiksof lefeber gourneau garyjpage hubbucket-team casparz danihaag udji-n tkrabel benmazzotta kmmao ppiyawat shaniarmon julienchastang mroserov jakalee joe62 dharmeshpatel25sep stasyahan cloudsky8888 yeonathan alan0326 louiscypher666 nogur9 radhika-2104 minsuckchoi jtpio sukar-hackers zhuwenqing678 t1089 kumar2net cochleor jsonfort nathanrpage97

jupyterlab-demo's Issues

#31 change copyright date.

#31 change Copyright date from 2016 to 2017. IIRC the copyright date should be the date of first copyright and is implicitly YYYY-Present. Should it be changed back ? @ellisonbg ?

Relationship to `jupyterlab\examples`?

What if any relationship is there between jupyterlab/examples and this repo?

Feedback from Conferences?

@willingc @jasongrout @ian-r-rose @ellisonbg @sccolbert @blink1073

Do you have any additional feedback from the conferences you recently spoke at?

Bring back ipywidgets and bqplot content

Turn talks into User-Facing Documentation

So people can walk themselves through the demo

jupyterlab/jupyterlab#3173

Set up Profile for Tutorial

@sccolbert wants there to be a vegalite or altair example that works

Update for JupyterLab 3.0

Right now the documentation for JupyterLab points to a Binder link that installs 2.X, not 3.X!

Include Zika data in license

http://www.nature.com/authors/policies/license.html

'touch' is not recognized as an internal or external command, operable program or batch file.

Running on Windows -

(base) C:\Code\jupyterlab-demo>invoke demofiles
cleaning demofiles
creating demofolder
cloning repos into demo folder demofiles
Cloning into 'PythonDataScienceHandbook'...
Cloning into 'Urban-Data-Challenge'...
Cloning into 'altair'...
Cloning into 'QuantEcon.notebooks'...
Cloning into 'TCGA'...
Cloning into 'TensorFlow-Examples'...
Cloning into 'bqplot'...
'touch' is not recognized as an internal or external command,
operable program or batch file.

It happens because this line:
ctx.run('touch move_this_file.txt; mkdir move_it_here')

'touch' program, doesn't exists in Windows, that why it fails.

Maybe, the code can be updated to check if it is Windows,
and run equivalent command, like:
type nul > move_this_file.txt

The same way the code does for rmdir.

Thanks

Check JupyterLab open successfully on CI job

The current CI job is not checking that JupyterLab is starting.

Update enviornment and extensions

`INSTALL.txt` errors

@jasongrout

Invalid requirement: 'bqplot=0.9.0b10' = is not a valid operator. Did you mean == ?

- Writing config: /Users/4d/anaconda/envs/jlabdemo/etc/jupyter/labconfig X is not version compatible with installed JupyterLab version 0.16.2 Expects JupyterLab version ^0.13.1 from packaged module [email protected]/lib/widget.js Expects JupyterLab version ^0.13.1 from packaged module [email protected]/lib/plugin.js

Collecting dask-labextensions Could not find a version that satisfies the requirement dask-labextensions (from versions: ) No matching distribution found for dask-labextensions

Update `scipy.md` for JupyterCon

Merge Fork?

@jasongrout @ellisonbg : @fperez asked me to use this demo to start putting together initial user documentation for lab. I can't write issues on the forks, but since @jasonsgrout 's fork is far ahead, is it possible we could PR the forks?

Jup

Extract Closed Captions from Previous Talks

See https://github.com/youtube/api-samples/blob/master/python/captions.py

Set up Travis for Demo

@jasongrout suggested we set up CI for the demo

Add binder link on PR

Install JupyterLab renderers with conda

Once conda-forge/staged-recipes#14245 is merged and the packages available on conda, we should be able to remove this task:

jupyterlab-demo/tasks.py

Lines 44 to 57 in 5a5eb6b

	@task
	def build(ctx, env_name=env_name, kernel=True):
	'''
	Builds an environment with appropriate extensions.
	'''

	ctx.run("""
	{0!s} activate {1!s} &&
	jupyter labextension install @jupyterlab/[email protected] --no-build &&
	jupyter labextension install @jupyterlab/[email protected] --no-build &&
	jupyter lab clean && jupyter lab build --dev-build=False --minimize=False
	""".format(source, env_name).strip().replace('\n', ''))
	if kernel:
	ctx.run("{0!s} activate {1!s} && ipython kernel install --name {1!s} --display-name {1!s} --sys-prefix".format(source, env_name))

And add the dependencies to:

jupyterlab-demo/binder/environment.yml

Line 3 in 5a5eb6b

dependencies:

Which should make the Binder build faster.

Geojson of lightning strikes

We could include a geojson file of lightning strikes, and maybe a large csv of them, you know, for lightning talks :). It'd be fun to give a talk where the data was all puns on lightning talks.

ResolvePackageNotFound: - xeus-cling[version='<=0.11']

"invoke environment" fails:

(base) <repo>\jupyterlab-demo-master>invoke environment --env-name=jupyterlab-demo
creating environment jupyterlab-demo
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... failed

ResolvePackageNotFound:
  - xeus-cling[version='<=0.11']

btw:

(base) ... >conda config --add channels conda-forge --yes
usage: conda-script.py [-h] [-V] command ...
conda-script.py: error: unrecognized arguments: --yes

Listing Previous Talks Using this Demo

Do we want this is a wiki or in the repo in a markdown?

Update Readme to Include Descriptions of Actively Working Extensions and Installation Instructions

See #2, #9, and #10

Create a slimmed down demo for places with poor internet connectivity

An enhancement for places in the world that have less than optimal connectivity and internet speeds.

The R kernel is not available

Following #115, the R kernel is no available - we should fix this.

Originally posted by @fcollonval in #115 (comment)

Add Licenses for Borrowed Content in `LICENSE`

@jasongrout suggested we add license information based on #7

Repository got banned from mybinder.org

Hello from mybinder.org,

we had a bit of a rough evening since you merged #73. We aren't quite sure why this caused us problems or what is wrong with the build for this repository. However we observed very high CPU load, and eventually noticed that lots of ipython demo pods were running but none from jupyterlab. The first time our CPU usage went through the roof was exactly when you merged #73. So for the moment we banned this repository. After the first few minutes it seems like this resolved our problem.

You can try and build the repository locally with repo2docker or making a fork which should not be banned.

You can find us on gitter: https://gitter.im/jupyterhub/binder or we discuss in this issue

HELLO

### ###

Build is failing

Looks like the last build has not been passing in Travis with:

AttributeError: module 'tornado.web' has no attribute 'asynchronous'

Possibly related to:
conda-forge/nbconvert-feedstock#27

Note that that currently this repo does not work on binder (running notebook simply hangs)

Move Jupyterlab demo to jupyterlab account?

@ellisonbg we discussed moving repo Can you confirm when the repo is moved?

Install kernels for demos

I don't think that the invoke commands install the kernels for the julia and R notebooks.

Either document that they need to be installed separately or install if possible.

Convert Makefile to Bash Script?

@jasongrout suggested we convert the makefile to a Python installation script while we pin down what external content we use

Test Invoke Scripts on Windows?

Based on the documentation I've read so far from invoke, it's unclear to me if the shell commands in the invoke script will run on Windows. Could someone confirm?

Update README to specify invoke command

#64

Determine Origin of Example Content in Demo

@jasongrout @fperez : @ellisonbg suggested we think about ideas for content and pin down the provenance of our content in the demo. I've started by creating a dropbox paper document that lists where everything comes from. Please fill in relevant information if I've determined you've made the first commit

Include Content that Uses Broken Extensions?

@jasongrout Since a number of the Lab extensions aren't working eg widgets and geojson, should we bother with including content that relies on those extensions? For example the geojson of the museums in DC

Plotly missing as dependency

Hi, jupyterlab-plotly extension is installed, but plotly itself is missing.

`movethis` `movethishere`?

@ian-r-rose @ellisonbg We've been using dummy files and folder movethis and movethishere to show drag and drop. Do we want to keep these in the repo? They're currently not in master or the invoke script?

Feedback from Demos

@jasongrout @ian-r-rose @ellisonbg @sccolbert Would like to get feedback from your experiences giving the demo at Scipy and PyData Seattle. Could you comment here or create issues as needed?

@jasongrout Also we'd like any content you ended up using in your content. Is there a video of your talk available?

solving environment failed

Tried 'invoke environment' inside the repo directory using:
miniconda 4.5.11
python 3.6.5

invoke environment fails with the following messages:
Solving environment: failed

UnsatisfiableError: The following specifications were found to be in conflict:

scikit-learn=0.18
xtensor-blas=0.12
Use "conda info " to see the dependencies for each package.

Any help is appreciated!

Installation vs Makefile

Per suggestion from @fperez , I tried installing the fork from @jasongrout but make demo doesn't handle the environment setup from INSTALL.txt Should there be changes to the makefile or readme to take care of environment setup for the demo?

Need to swap out space image for something in public domain

How about this one?

https://commons.wikimedia.org/wiki/Category:Hubble_images_of_interacting_galaxies#/media/File:Hubble_Interacting_Galaxy_AM_0500-620_(2008-04-24).jpg

Add the datagrid example

We should add https://github.com/phosphorjs/phosphor/tree/master/examples/example-datagrid to the repo so we have a standalone version of http://phosphorjs.github.io/examples/datagrid/index.html available.

Missing some datafiles

I tried to get the demos working for a presentation this morning. Even after using invoke to install the data files, the files could not be found. Are some of the datafiles missing? Or is it a path issue on my part?

License?

@ellisonbg Since we moved the repo, should we also reassign the license?

WebSocket error 502 on mybinder.org

I'm getting this result from chrome console on mybinder.org when notebook is trying to connect to kernel.

WebSocket connection to 'wss://hub.mybinder.org/user/jupyterlab-jupyterlab-demo-azimq5mq/api/kernels/267f4698-ce2a-443d-aab9-46bd61a49ffb/channels?session_id=8d0e4978-7cb6-4184-82b3-4bf6fa323698&token=Qy1Nd1A6RDWoJEL5lUqo_w' failed: Error during WebSocket handshake: Unexpected response code: 502

Meanwhile, the top right status dot keeps showing Kernel Reconnecting.

When I visit the normal notebook (path: /notebooks/demo/Lorenz.ipynb), 500 : Internal Server Error is returned.

Failed to create the environment - Can't find any collection named 'tasks'!

Using:

Windows 10
Miniconda
Anaconda Prompt to run conda

(base) C:\>conda --version
conda 4.4.10

Installation was ended successfully

(base) C:\>conda install -c conda-forge invoke pyyaml
Solving environment: done

# All requested packages already installed.

But creating the environment failed -

(base) C:\>invoke environment
Can't find any collection named 'tasks'!

Thanks.

yml profiles

@willingc @ellisonbg @jasongrout Based on an earlier conversation, we think it would make sense to have profiles for different talks in a yml file. An invoke script would copy relevant files into a folder for the talk. This way we can customize talks to different audiences.