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    SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos

    (ebook) (audiobook) (audiobook) Książka w języku 1
    SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos - okladka książki

    SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos - okladka książki

    SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos - audiobook MP3

    SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos - audiobook CD

    Autorzy:
    Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    386
    Dostępne formaty:
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    Do przechowalni

    With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease.
    This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.

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    O autorach książki

    Luiz 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.
    V Kishore Ayyadevara leads a team focused on using AI to solve problems in the healthcare space. He has 10 years' experience in data science, solving problems to improve customer experience in leading technology companies. In his current role, he is responsible for developing a variety of cutting edge analytical solutions that have an impact at scale while building strong technical teams. Prior to this, Kishore authored three books — Pro Machine Learning Algorithms, Hands-on Machine Learning with Google Cloud Platform, and SciPy Recipes. Kishore is an active learner with keen interest in identifying problems that can be solved using data, simplifying the complexity and in transferring techniques across domains to achieve quantifiable results.
    Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.

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