Fedora 30 : About the Jupyter lab tool.

The tutorial for today is about Jupiter Lab and Fedora 30. You can see an old tutorial with Fedora 29 here.
The JupyterLab is the next-generation web-based user interface for Project Jupyter.
This can be installed using conda, pip or pipenv.
I used pip3 tool for instalation process on Fedora 30 distro:

[mythcat@desk ~]$ pip3 install jupyterlab --user
...
Successfully installed Send2Trash-1.5.0 attrs-19.1.0 backcall-0.1.0 bleach-3.1.0 defusedxml-0.6.0 
ipykernel-5.1.2 ipython-7.8.0 ipython-genutils-0.2.0 jedi-0.15.1 json5-0.8.5 jsonschema-3.0.2 
jupyter-client-5.3.1 jupyter-core-4.5.0 jupyterlab-1.1.1 jupyterlab-server-1.0.6 mistune-0.8.4 
nbconvert-5.6.0 nbformat-4.4.0 notebook-6.0.1 pandocfilters-1.4.2 parso-0.5.1 pexpect-4.7.0 
pickleshare-0.7.5 prometheus-client-0.7.1 prompt-toolkit-2.0.9 ptyprocess-0.6.0 pyrsistent-0.15.4 
pyzmq-18.1.0 terminado-0.8.2 testpath-0.4.2 tornado-6.0.3 traitlets-4.3.2 wcwidth-0.1.7 
webencodings-0.5.1
[mythcat@desk ~]$ jupyter notebook --version
6.0.1

This tool browsers can be used with :Firefox, Chrome and Safari.
The tool can be start with this command:

[mythcat@desk ~]$ jupyter lab
[I 19:53:05.527 LabApp] Writing notebook server cookie secret to ...

The default browser will open a new tab and show the interface for this tool, see screenshot:
If you install a new python module then you need to close and reopen the tool.
You can run every row command with Shift+Enter keys.
When you want to close it just close the browser tab and press Ctrl+C keys.

Shutdown this notebook server (y/[n])? y
[C 20:09:00.058 LabApp] Shutdown confirmed
[I 20:09:00.304 LabApp] Shutting down 0 kernels

 To see additional kernels follow this link. The Fedora 30 comes with this kernels for Jupyter using the dnf tool:

[root@desk mythcat]# dnf search jupyter | grep kernel
Last metadata expiration check: 0:57:13 ago on Mi 04 sep 2019 19:46:15 +0300.
polymake-jupyter.noarch : Jupyter kernel for polymake
gap-pkg-jupyterkernel.noarch : Jupyter kernel written in GAP
python3-jupyter-c-kernel.noarch : Minimalistic C kernel for Jupyter
gap-pkg-jupyterkernel-doc.noarch : Jupyter kernel for GAP documentation
python3-jupyter-kernel-test.noarch : Machinery for testing Jupyter kernels via
python3-jupyroot.x86_64 : ROOT Jupyter kernel
python3-metakernel.noarch : Metakernel for Jupyter
python3-ipykernel.noarch : IPython Kernel for Jupyter
python3-octave-kernel.noarch : A Jupyter kernel for Octave
python3-metakernel-bash.noarch : A Bash kernel for Jupyter/IPython
python3-metakernel-python.noarch : A Python kernel for Jupyter/IPython
python3-spyder-kernels.noarch : Jupyter kernels for the Spyder console
python3-metakernel-echo.noarch : A simple echo kernel for Jupyter/IPython
R-IRkernel.noarch : Native R Kernel for the 'Jupyter Notebook'

Another feature of Jupyter is the ability to run it as a presentation server:

[mythcat@desk ~]$ jupyter nbconvert --generate-config
Writing default config to: /home/mythcat/.jupyter/jupyter_nbconvert_config.py
[mythcat@desk ~]$ cat /home/mythcat/.jupyter/jupyter_nbconvert_config.py
# Configuration file for jupyter-nbconvert.

#------------------------------------------------------------------------------
# Application(SingletonConfigurable) configuration
#------------------------------------------------------------------------------

## This is an application.

Change jupyter_nbconvert_config.py file by adding your settings. For example:

## Accept connections from all IPs
c.ServePostProcessor.ip = '*'

## Do not open the browser automatically
c.ServePostProcessor.open_in_browser = False

After you work with jupyter you can save it with a name like Test001 and run this command:

[mythcat@desk ~]$ jupyter nbconvert "Test001.ipynb" --to slides --post serve[NbConvertApp] 
Converting notebook Test001.ipynb to slides
[NbConvertApp] Writing 278626 bytes to Test001.slides.html
[NbConvertApp] Redirecting reveal.js requests to https://cdnjs.cloudflare.com/ajax/libs/reveal.js/3.5.0
Serving your slides at http://*:8000/Test001.slides.html
Use Control-C to stop this server

The result of the HTML presentation can be see at http://localhost:8000/Test001.slides.html#.

Fedora 29 : Python 3 and Jupyter notebook.

Today I tested the Jupyter Notebook with Fedora 29.
About the Jupyter Notebook the official website comes with this intro:
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
First I check with DNF tool the update and the upgrade of the Fedora 29 distro.
The next step was to install this:

# dnf install python3-pip
# dnf install python3-devel.x86_64
# pip3 install --upgrade pip

With my account shell I used this commands to create and run the Jupiter Notebook:

$ pip3 install --user virtualenv
$ mkdir my_project
$ cd my_project/
$ virtualenv my_project_env
$ source my_project_env/bin/activate
$ pip3 install jupiter
$ jupiter notebook

The last command will start your default browser and will see this:
You can see I created a new notebook with Python 3.
The result is shown into another tab webpage browser where I used few commands to install new module scipy and I check if this working well:

!pip3 install scipy
help
quickref

The result of this notebook looks like this image: