Installation Guide

Data Science Utils is compatible with py_version. The preferred way to install the package is using the AI skills installer script, because it installs both the data-science-utils package and the tool skills in one guided flow. See AI Coding Skills.

Here are several ways to install the package:

0. Preferred: Install using the skills installer script

Mac / Linux:

bash <(curl -sL https://raw.githubusercontent.com/idanmoradarthas/DataScienceUtils/master/install.sh)

Windows (PowerShell):

irm https://raw.githubusercontent.com/idanmoradarthas/DataScienceUtils/master/install.ps1 | iex

For full details, interactive options, and verification steps, see AI Coding Skills.

1. Install from PyPI

The simplest way to install Data Science Utils and its dependencies is from PyPI using pip, Python’s preferred package installer pypi_version:

pip install data-science-utils

To install with optional dependencies (like NLP features that require sentence-transformers), use the extras syntax:

pip install "data-science-utils[nlp]"

To upgrade Data Science Utils to the latest version, use:

pip install -U data-science-utils

2. Install from Source

If you prefer to install from source, you can clone the repository and install github_release:

git clone https://github.com/idanmoradarthas/DataScienceUtils.git
cd DataScienceUtils
pip install .

To include optional dependencies when installing from source, use:

pip install ".[nlp]"

Alternatively, you can install directly from GitHub using pip:

pip install git+https://github.com/idanmoradarthas/DataScienceUtils.git

3. Install using Anaconda

If you’re using Anaconda, you can install using conda conda_version:

conda install idanmorad::data-science-utils

To install the optional NLP features (sentence-transformers) via conda, you need to separately install them from the conda-forge channel:

conda install conda-forge::sentence-transformers

Note on Dependencies

Data Science Utils has several core dependencies, including numpy, pandas, matplotlib, plotly and scikit-learn. These will be automatically installed when you install the package using the methods above.

Optional features (such as SentenceEmbeddingTransformer) require additional dependencies (sentence-transformers) which must be installed explicitly using the [nlp] extra or separately via conda.

Staying Updated

Data Science Utils is an active project that routinely publishes new releases with additional methods and improvements. We recommend periodically checking for updates to access the latest features and bug fixes.

If you encounter any issues during installation, please check our GitHub issues page or open a new issue for assistance.