datascientists 0.0.3

Quick Data Science tools.

datascientists

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

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Dev Version

Try latest version, visit Test PyPI.

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Best Practices

Best Practices for datascientists visualization require nodejs and jupyter.

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Best Practices for Python venv

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

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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

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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