If you are a professional, student, or educator who wants to learn to use iPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment. Some knowledge of programming would be helpful, and familiarity with Python would be a plus point.
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If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
L. Felipe Martins holds a PhD in Applied Mathematics from Brown University and has worked as a researcher and educator for more than 20 years. His research is mainly in the field of applied probability. He has been involved in developing code for the open source homework system WeBWork, where he wrote a library for the visualization of systems of differential equations. He was supported by an NSF grant for this project. Currently, he is an associate professor in the Department of Mathematics at Cleveland State University, Cleveland, Ohio, where he has developed several courses in Applied Mathematics and Scientific Computing. His current duties include coordinating all first-year Calculus sessions. He is the author of the blog, All Things Computing (http://fxmartins.com).
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