Python displaced a lot of very expensive proprietary software in the biosciences arena. Ease of use was also a major factor, as many bioscientists have relativ

Python displaced a lot of very expensive proprietary software in the biosciences arena. Ease of use was also a major factor, as many bioscientists have relatively little background in programming, but the ability to escape the world of expensive restrictive software licenses was very attractive to the scientific community, whose historical norms emphasize the open sharing of methods and results: > "A program that performs a useful task can (and, arguably, should) be distributed to other scientists, who can then integrate it with their own code. Free software licenses facilitate this type of collaboration, and explicitly encourage individuals to enhance and share their programs. This flexibility and ease of collaborating allows scientists to develop software relatively quickly, so they can spend more time integrating and mining, rather than simply processing, their data." https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004867 https://journals.plos.org/ploscompbiol/article?id=10.1371/jo... Now there isn't any area of molecular biology and biochemistry that doesn't have a host of Python libraries available to assist researchers with tasks like designing PCR strategies or searching for nearest matches on up to x-ray crystallography of proteins.