{"product_id":"elegant-scipy-the-art-of-scientific-python-9781491922873","title":"Elegant Scipy: The Art of Scientific Python","description":"\u003cp\u003eWelcome to Scientific Python and its community. If youâ re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. Youâ ll learn how to write elegant code thatâ s clear, concise, and efficient at executing the task at hand. \u003c\/p\u003e\u003cp\u003e Throughout the book, youâ ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, youâ ll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eExplore the NumPy array, the data structure that underlies numerical scientific computation \u003c\/li\u003e\n\u003cli\u003eUse quantile normalization to ensure that measurements fit a specific distribution \u003c\/li\u003e\n\u003cli\u003eRepresent separate regions in an image with a Region Adjacency Graph \u003c\/li\u003e\n\u003cli\u003eConvert temporal or spatial data into frequency domain data with the Fast Fourier Transform \u003c\/li\u003e\n\u003cli\u003eSolve sparse matrix problems, including image segmentations, with SciPyâ s \u003ci\u003esparse\u003c\/i\u003e module \u003c\/li\u003e\n\u003cli\u003ePerform linear algebra by using SciPy packages \u003c\/li\u003e\n\u003cli\u003eExplore image alignment (registration) with SciPyâ s \u003ci\u003eoptimize\u003c\/i\u003e module \u003c\/li\u003e\n\u003cli\u003eProcess large datasets with Python data streaming primitives and the Toolz library \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eJuan Nunez-Iglesias is a freelance consultant and a Research Scientist at the University of Melbourne, Australia. Prior positions include Research Associate at HHMI Janelia Farm (where he worked with Mitya Chklovskii) and Research Assistant\/PhD student at the University of Southern California (where he studied computational biology supervised by Xianghong Jasmine Zhou). His principal research interests are neuroscience and image analysis. He is also interested in graph methods in bioinformatics and in biostatistics.\u003c\/p\u003e\u003cp\u003eSt?fan van der Walt is an assistant researcher at the Berkeley Institute for Data Science at the University of California, Berkeley and a senior lecturer in applied mathematics at Stellenbosch University, South Africa. He has been involved in the development of scientific open-source software for more than a decade, and enjoys teaching Python at workshops and conferences. St?fan is the founder of scikit-image and a contributor to numpy, scipy, and dipy.\u003c\/p\u003e\u003cp\u003eHarriet Dashnow is a bioinformatician and has worked at the Murdoch Childrens Research Institute, the Department of Biochemistry at the University of Melbourne and the Victorian Life Sciences Computation Initiative (VLSCI). Harriet obtained a BA (Psychology), a BS (Genetics and Biochemistry), and a MS (Bioinformatics) from the University of Melbourne. She is currently working towards a PhD. She organises and teaches computational skills workshops in such areas as genomics, Software Carpentry, Python, R, Unix, and Git version control.\u003c\/p\u003e\u003cbr\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":50851019522322,"sku":"9781491922873","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_bfa01be8-f0fc-4e47-82bf-c5cb62cfe431.jpg?v=1737423047","url":"https:\/\/surprise-castle.myshopify.com\/products\/elegant-scipy-the-art-of-scientific-python-9781491922873","provider":"Surprise Castle","version":"1.0","type":"link"}