anonympy - Data Anonymization with Python

Shakhansho

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9 Feb 2022Public Domain3 min read

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An overview of newly written package anonympy and a walk-through some of its methods and functionality

Data anonymization plays a huge role in contemporary data-driven society and most of the time data is sensitive. We will use `anonympy` package for solving this issue. Each method depends on what kind of data (data type) we are trying to anonymize. Data anonymization has lots of pitfalls, therefore there is no single step approach to achieve it. Every method should be used carefully and before applying anything, we should thoroughly understand the data and keep our end goal in mind.

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This article, along with any associated source code and files, is licensed under A Public Domain dedication

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Shakhansho

Student ArtLabs

Russian Federation

Hey there! My name is Shakhansho, but I prefer to call myself Shukur. I am 21 years old and a Junior student at University of Central Asia (UCA), majoring in computer science. Due to my experiences of working in consumer services, I have developed strong communication and interpersonal skills. In addition, this summer I was lucky to start my intership at ArtLabs
So now apart from my studies I am also working as a part-time Machine Learning Developer. Although my hard skills are not as strong as my soft skills, I compensate it with my hard work, dedication, and passion for the field of computer science.
... and excessive Googling

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anonympy - Data Anonymization with Python

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