IPython Notebook Essentials
Compute scientific data and execute code interactively with NumPy and SciPy
Published on 7. October 2025
190 pages
978-1-78398-835-8 (ISBN)
Description
Key Features
Book DescriptionIf you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.What you will learn
Who this book is for
Book DescriptionIf you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.What you will learn
Who this book is for
All prices
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
2,40 MB
ISBN-13
978-1-78398-835-8 (9781783988358)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Luiz Felipe Martins
IPython Notebook Essentials
Book
11/2014
Packt Publishing
€45.20
Shipment within 3-4 weeks
Person
Martins Luiz Felipe :
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.
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.
Content
Table of Contents
A tour of the iPython notebook
The Notebook interface
Graphics with matplotlib
Handling data with Pandas
Advanced computing with SciPy, Numba and NumbaPro
Appendix A, B, C
A tour of the iPython notebook
The Notebook interface
Graphics with matplotlib
Handling data with Pandas
Advanced computing with SciPy, Numba and NumbaPro
Appendix A, B, C
