{"product_id":"scientific-computing-with-python-second-edition-high-performance-scientific-computing-with-numpy-scipy-and-pandas-paperback","title":"Scientific Computing with Python - Second Edition: High-performance scientific computing with NumPy, SciPy, and pandas - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eClaus Führer\u003c\/b\u003e (Author), \u003cb\u003eJan Erik Solem\u003c\/b\u003e (Author), \u003cb\u003eOlivier Verdier\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLeverage this example-packed, comprehensive guide for all your Python computational needs\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn the first steps within Python to highly specialized concepts\u003c\/li\u003e\n\u003cli\u003eExplore examples and code snippets taken from typical programming situations within scientific computing.\u003c\/li\u003e\n\u003cli\u003eDelve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003ePython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the building blocks of computational mathematics, linear algebra, and related Python objects\u003c\/li\u003e\n\u003cli\u003eUse Matplotlib to create high-quality figures and graphics to draw and visualize results\u003c\/li\u003e\n\u003cli\u003eApply object-oriented programming (OOP) to scientific computing in Python\u003c\/li\u003e\n\u003cli\u003eDiscover how to use pandas to enter the world of data processing\u003c\/li\u003e\n\u003cli\u003eHandle exceptions for writing reliable and usable code\u003c\/li\u003e\n\u003cli\u003eCover manual and automatic aspects of testing for scientific programming\u003c\/li\u003e\n\u003cli\u003eGet to grips with parallel computing to increase computation speed\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 392\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 23, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44283093876838,"sku":"9781838822323","price":75.87,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/clFuLzFBZUd6SUh6STYrR1ZrK2o2UT09.webp?v=1766579364","url":"https:\/\/infinitylightwa.com\/products\/scientific-computing-with-python-second-edition-high-performance-scientific-computing-with-numpy-scipy-and-pandas-paperback","provider":"Infinity Light","version":"1.0","type":"link"}