Description: About this Item The item is a book paperback or softback The Author Name is Fhrer, Claus,Solem, Jan Erik,Verdier, Olivier The Title is Scientific Computing with Python - Second Edition: High-performance scientific computing with NumPy, SciPy, and pandas Condition New Other Comments Edition Number - 0002. Edition_description - Second. Pages Count - 392. Binding type - Perfect. Content Language - English Category - COMPUTERS / Languages / Python COMPUTERS / Data Science / Data Modeling & Design COMPUTERS / Data Science / General Product Description - Leverage this example-packed, comprehensive guide for all your Python computational needsKey FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing. Book DescriptionPython 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. This 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. By 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. What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming OOP to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is forThis 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 555z iHaveit SKU ID 163759193
Price: 44.96 GBP
Location: GB
End Time: 2025-01-15T18:50:48.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Languages / Python
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Weight: 0.67
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Title: Scientific Computing with Python - Second Edition High-performan
Release Title: Scientific Computing with Python - Second Edition High-performan
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Scientific Computing with Python - Second Edition High-performa
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Binding Type: Perfect
Item Length: 234.95
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Publisher: Packt Publishing
Publication Year: 2021
Subject: Computer Science
Item Height: 93 mm
Number of Pages: 392 Pages
Language: English
Publication Name: Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas
Type: Textbook
Author: Olivier Verdier, Claus Fuhrer, Jan Erik Solem
Item Width: 75 mm
Format: Paperback
