# Tutorials This page contains links to some Python notebooks that showcase the functionality in SDV. ## Getting started with SDV Community Use SDV Community to explore synthetic data, and create synthesizers for simple, proof-of-concept datasets.


Synthesize a Table (Gaussian Copula)	A fast, customizable and transparent way to synthesize data.	https://colab.research.google.com/drive/1MCTkTj9-93Ei-cLDQoj9AXaqPhpue7a3?usp=sharing
Synthesize a Table (CTGAN)	A GAN-based approach to creating synthetic data with high fidelity.	https://colab.research.google.com/drive/15iom9fO8j_gHg4-NlGkzWF5thMWStXwv?usp=sharing
Synthesize Sequences (PAR)	A neural network-based approach to creating synthetic data.	https://colab.research.google.com/drive/1YLk2uwn8yrSRPy0soEeJwu8Hdk_tGTlE?usp=sharing
Synthesize Multi Tables (HMA)	Synthesize data across multiple, connected tables in a database.	https://colab.research.google.com/drive/1L6i-JhJK9ROG-KFcyzT9G-8FC3L8y8Lc?usp=sharing
Use Your Own Data	Prepare your own data for the SDV: Load your raw data and write a metadata description	https://colab.research.google.com/drive/1DlUlHNohxBhxN6GA5C_C4Fd9wx5AR11Y?usp=sharing

### Customizations Using SDV Community, you can control the full workflow when preprocessing data, anonymizing sensitive values, adding constraints and more.


Custom Processing & Anonymization	Improve your synthesizer by customizing the data processing workflow.	https://colab.research.google.com/drive/1Z9Rff5G3eDI-LEc1LXiew9E3hF5Ob-on?usp=sharing
Constraint-Augmented Generation	Input business rules into your synthesizer using constraints. This ensures high-quality, valid synthetic data, 100% of the time.	https://colab.research.google.com/drive/1WCMQujfVKL5giULZXOPPIBoMfzR9Zj68?usp=sharing
Program Your Own Constraint	If you have business rules that are not covered by SDV, you can program your own constraint to adhere to them.	https://colab.research.google.com/drive/1BvUGkgYaf2ohMISqWZGrVTHgR1dwaOkV?usp=sharing

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