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Python @ Life


Life Technologies relies heavily on Python for product development. Here we present examples of using Python with the Numpy/SciPy/Matplotlib stack at Life Technologies for sequencing analysis, Bayesian estimation, mRNA complexity study, and customer survey analysis. We also display our use of Django for developing scientific web tools in Python. These applications, taken together, demonstrate scientific Python’s vital position in Life Technologies’ tool chain.


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