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Quick Data Science tools.

Project description

datascientists

Quick Data Science tools, providing data processing and visualization in Hypotheses Testing, Regression, and etc.


Dev Version

Try latest version, visit Test PyPI.


Best Practices

Best Practices for datascientists visualization require nodejs and jupyter.


Best Practices for Python venv

If you need to isolate the Python environment, visit venv — Creation of virtual environments


Best Practices for nodejs

Install nvm (Node Version Manager) from github

Check your nvm version:

nvm -v

Once you installed nvm, using nvm to install node:

nvm install node

To list all local nodes:

nvm list

To choose your node version: For example, using v16.0.0

nvm use node v16.0.0

You can list available versions using ls-remote:

nvm ls-remote

Best Practices for Jupyterlab

Install jupyterlab

pip install jupyterlab

Set jupyterlab and install extensions for plotly:

# (OS X/Linux)
export NODE_OPTIONS=--max-old-space-size=4096

# Jupyter widgets extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager --no-build

# jupyterlab renderer support
jupyter labextension install jupyterlab-plotly --no-build

# FigureWidget support
jupyter labextension install plotlywidget --no-build

# Build jupyterlab (must be done to activate extensions since --no-build is used above)
jupyter lab build

# Unset NODE_OPTIONS environment variable
# (OS X/Linux)
unset NODE_OPTIONS

See if you have installed the three extensions correctly:

jupyter labextension list

You should see:

  • @jupyter-widgets/jupyterlab-manager
  • jupyterlab-plotly
  • plotlywidget

Project details


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