I was recently asked the above question. And it's a totally valid question as SciPy is somewhat outside of what I usually write about (biological topics, sustainable topics). There is a logical connection though, and it has to do with what I do at work.
Building biological entities is difficult because unlike car design, biological entities like to "misbehave". I say misbehave but it actually only means that we don't sufficiently understand microorganisms well enough to model them perfectly.
This is where data science comes in of course. Through collection of large data sets data science and related fields can help us uncover patterns not seen before. these patterns then help make a better yeast model. Better models = faster product development. Faster product development = faster route to a sustainable business = more products with a positive impact.
So there is a link. Simple, right?
Building biological entities is difficult because unlike car design, biological entities like to "misbehave". I say misbehave but it actually only means that we don't sufficiently understand microorganisms well enough to model them perfectly.
This is where data science comes in of course. Through collection of large data sets data science and related fields can help us uncover patterns not seen before. these patterns then help make a better yeast model. Better models = faster product development. Faster product development = faster route to a sustainable business = more products with a positive impact.
So there is a link. Simple, right?
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