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Location: Home / Tekniikka / Google adds Python support to privacy-preserving data analysis tool

Google adds Python support to privacy-preserving data analysis tool

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Google said now Python is supported, the DP library is now available to nearly half of all developers worldwide which means more developers and researchers will be able to analyse data and make new discoveries while preserving the privacy of users to whom the data belongs.

Python is among the most popular programming languages currently in use and won 'Language of the Year 2021' from the TIOBE index, which ranks programming languages based on their popularity. Python is useful for a wide range of programming activities but is especially well-known for its capabilities in data analysis, making it a natural progression for Google's DP library.

As part of the launch, Google has released a new web-based product, pipleinedp.io, which allows any Python developer to analyse their dataset with differential privacy. Google also said it has seen organisations experimenting with new use cases such as showing a website's most visited web pages by country, in an anonymised fashion.

Google adds Python support to privacy-preserving data analysis tool

The library is compatible with leading large data processing engines, the Spark and Beam frameworks, and Google will be launching an additional tool to help users "visualise and better tune the parameters used to produce differentially private information".

"We encourage developers around the world to take this opportunity to experiment with differential privacy use cases like statistical analysis and machine learning, but most importantly, provide us with feedback," said Google announcing the news. "We are excited to learn more about the applications you all can develop and the features we can provide to help along the way.