Artículos relacionados a Elegant Scipy: The Art of Scientific Python
Sinopsis
Welcome to Scientific Python and its community. If you'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. You'll learn how to write elegant code that's clear, concise, and efficient at executing the task at hand., Throughout the book, you'll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you'll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. Explore the NumPy array, the data structure that underlies numerical scientific computation Use quantile normalization to ensure that measurements fit a specific distribution Represent separate regions in an image with a Region Adjacency Graph Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform Solve sparse matrix problems, including image segmentations, with SciPy's sparse module Perform linear algebra by using SciPy packages Explore image alignment (registration) with SciPy's optimize module Process large datasets with Python data streaming primitives and the Toolz libraryv
"Sinopsis" puede pertenecer a otra edición de este libro.
Biografía del autor
Juan Nunez-Iglesias is a Research Scientist at the Life Sciences Computation Centre in 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. Stefan 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. Stefan is the founder of scikit-image and a contributor to numpy, scipy and dipy. Harriet 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.
Reseña del editor
Welcome to Scientific Python and its community! With this practical book, you'll learn the fundamental parts of SciPy and related libraries, and get a taste of beautiful, easy-to-read code that you can use in practice. More and more scientists are programming, and the SciPy library is here to help. Finding useful functions and using them correctly, efficiently, and in easily readable code are two very different things. You'll learn by example with some of the best code available, selected to cover a wide range of SciPy and related libraries-including scikit-learn, scikit-image, toolz, and pandas. The examples highlight clever, elegant uses of advanced features of NumPy, SciPy, and related libraries. Beginners will learn not the functionality of the library, but its application to real world problems. This book starts from first principles and provides all of the necessary background to understand each example, including idioms, libraries, and scientific concepts.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialO'Reilly Media
- Año de publicación2017
- ISBN 10 1491922877
- ISBN 13 9781491922873
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas275
Comprar nuevo
Ver este artículo
EUR 35,82
GRATIS gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Elegant Scipy: The Art of Scientific Python
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Publicado por
O'Reilly Media, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Tapa blanda
Librería: Goodwill of Colorado, COLORADO SPRINGS, CO, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Acceptable. This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting/ writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and/or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! Nº de ref. del artículo: 466M6D0008Y4
Cantidad disponible: 1 disponibles
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Publicado por
O'Reilly Media, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Tapa blanda
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc. Nº de ref. del artículo: 00080370615
Cantidad disponible: 1 disponibles
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Publicado por
O'Reilly Media, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Tapa blanda
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00081621192
Cantidad disponible: 2 disponibles
Imagen de archivo
Elegant Scipy: The Art of Scientific Python
Publicado por
O'Reilly Media, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Paperback
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.05. Nº de ref. del artículo: G1491922877I5N00
Cantidad disponible: 1 disponibles
Imagen de archivo
Elegant Scipy: The Art of Scientific Python
Publicado por
O'Reilly Media, United States, Sebastopol, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Paperback
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. Welcome to Scientific Python and its community. If youre 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. Youll learn how to write elegant code thats clear, concise, and efficient at executing the task at hand. Throughout the book, youll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, youll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. Explore the NumPy array, the data structure that underlies numerical scientific computation Use quantile normalization to ensure that measurements fit a specific distribution Represent separate regions in an image with a Region Adjacency Graph Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform Solve sparse matrix problems, including image segmentations, with SciPys sparse module Perform linear algebra by using SciPy packages Explore image alignment (registration) with SciPys optimize module Process large datasets with Python data streaming primitives and the Toolz libraryv. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR009155029
Gastos de envío:
EUR 6,66
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Publicado por
O'Reilly Media, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Antiguo o usado
Tapa blanda
Librería: Goodwill Industries of VSB, Oxnard, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: Good. The book is nice and 100% readable, but the book has visible wear which may include stains, scuffs, scratches, folded edges, sticker glue, torn on front page,highlighting, notes, and worn corners. Nº de ref. del artículo: 4JQO8Z006QS6
Cantidad disponible: 1 disponibles
Imagen del vendedor
Elegant Scipy: The Art of Scientific Python (Paperback or Softback)
Publicado por
O'Reilly Media 8/31/2017, 2017
ISBN 10: 1491922877
ISBN 13: 9781491922873
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Elegant Scipy: The Art of Scientific Python 0.9. Book. Nº de ref. del artículo: BBS-9781491922873
Cantidad disponible: 5 disponibles
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar2716030177399
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Elegant SciPy : The Art of Scientific Python
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 24815609-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Elegant SciPy: The Art of Scientific Python
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781491922873
Cantidad disponible: Más de 20 disponibles