Preface
Whether you are reading this book as a computational biologist or a Python programmer, you will probably relate to the "explosive growth, exciting times" expression. The recent growth of Python is strongly connected with its status as the main programming language for big data. On the other hand, the deluge of data in biology, mostly from genomics and proteomics makes bioinformatics one of the forefront applications of data science. There is a massive need for bioinformaticians to analyze all this data; of course, one of the main tools is Python. We will not only talk about the programming language, but also the whole community and software ecology behind it. When you choose Python to analyze your data, you will also get an extensive set ...
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