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Top Python Resources for Digital Health Researchers

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We recently posted about why digital health researchers should consider using Python to work with their data. Python offers so much power and flexibility, such as automating cleaning and processing data and sharing reproducible notebooks. If you are getting started with Python and feel overwhelmed, know that a large and supportive Python community is waiting …

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Why Digital Health Researchers Should Be Using Python

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As a digital health researcher, you are likely familiar with using statistical packages such as SPSS, SAS, or Stata for your data analysis and cleaning needs. While these programs have a relatively low initial learning curve, they may not provide the versatility, scalability, and ease of use you need to tackle complex and large data …

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