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This book is for scientists and budding scientists who want to use the Python programming language in their work. It teaches the basics of Python and shows the easiest and most popular way to gain access to Python’s universe of scientific libraries, the preferred method for documenting work, and how to keep various projects separate and secure. As a mature, open source, and easy-to-learn language, Python has an enormous user base and a welcoming community eager to help you develop your skills. This user base has contributed to a rich set of tools and supporting libraries (collections of precompiled routines) for scientific endeavors such as data science, machine learning, language processing, robotics, computer vision, and more. As a result, Python has become one of the most important scientific computing languages in academia and industry. Popularity, however, comes with a price. The Python ecosystem is growing into an impenetrable jungle. In fact, this book sprang from conversations with scientific colleagues in the corporate world. New to Python, they were frustrated, stressed, and suffering from paralysis by analysis. At every turn, they felt they had to make critical and difficult decisions such as which library to use to draw a chart and which text editor to use to write their programs. They didn’t have the time or inclination to learn multiple tools, so they wanted to choose the option with the fewest repercussions down the road.