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Installation

ydata-sdk is available through PyPi, allowing an easy process of installation and integration with the data science programing environments (Google Colab, Jupyter Notebooks, Visual Studio Code, PyCharm) and stack (pandas, numpy, scikit-learn).

Installing the package

Currently, the package supports python versions over 3.9 and up-to python 3.12, and can be installed in Windows, Linux or MacOS operating systems.

Prior to the package installation, it is recommended the creation of a virtual or conda environment:

conda create -n synth-env python=3.12
conda activate synth-env

The above command creates and activates a new environment called "synth-env" with Python version 3.12.X. In the new environment, you can then install ydata-sdk:

pip install ydata-sdk

Installing ydata-synthetic – 5min – Step-by-step installation guide

Using Google Colab

To install inside a Google Colab notebook, you can use the following:

!pip install ydata-sdk

Make sure your Google Colab is running Python versions >=3.9, <=3.12. Learn how to configure Python versions on Google Colab here.