Product
Generate
Navigator
Generate data from input prompts.
Navigator Fine Tuning
Create safe, synthetic versions of sensitive datasets.
Operationalize
Transform
Flexible, rule-based data transformation.
Workflows
Build synthetic data pipelines.
Evaluate
Measure synthetic data quality.
Solutions
Use cases
Generate Safe Data
Improve ML Performance
Customize Language Models
Industries
AI & Data
Finance
Healthcare
Public Sector
Resources
Learn
Events & Webinars
Videos
Podcasts
Glossary
All Resources ->
Company
About Gretel
News
Partners
Careers
Contact
Download the guide ->
The Definitive Guide to Synthetic Data for the Enterprise
Developers
Get Started
Gretel University
Quickstart
Environment setup
Gretel fundamentals
Guides
Use Case Examples
Blueprints
Gretel SDK
Python Client
REST API
GitHub
Documentation
Start creating synthetic data for generative AI applications.
Blog
Pricing
Contact Sales
Sign up or Sign in
Contact Sales
Sign in
Sign up
Gretel Console
Gretel Blog
Piotr Mlocek
Piotr Mlocek
Piotr Mlocek
June 7, 2024
A guide to load (almost) anything into a DataFrame
Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.
Read more...
Data science
Data
