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Mastering Python Scientific Computing
Mastering Python Scientific Computing

Mastering Python Scientific Computing: A complete guide for Python programmers to master scientific computing using Python APIs and tools

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Profile Icon Hemant Kumar Mehta
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€18.99 per month
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (6 Ratings)
Paperback Sep 2015 300 pages 1st Edition
eBook
€25.19 €27.99
Paperback
€34.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Hemant Kumar Mehta
Arrow right icon
€18.99 per month
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (6 Ratings)
Paperback Sep 2015 300 pages 1st Edition
eBook
€25.19 €27.99
Paperback
€34.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€25.19 €27.99
Paperback
€34.99
Subscription
Free Trial
Renews at €18.99p/m

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Mastering Python Scientific Computing

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Description

In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs.

Who is this book for?

If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming.

What you will learn

  • Fundamentals and components of scientific computing
  • Scientific computing data management
  • Performing numerical computing using NumPy and SciPy
  • Concepts and programming for symbolic computing using SymPy
  • Using the plotting library matplotlib for data visualization
  • Data analysis and visualization using Pandas, matplotlib, and IPython
  • Performing parallel and high performance computing
  • Reallife case studies and best practices of scientific computing

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 23, 2015
Length: 300 pages
Edition : 1st
Language : English
ISBN-13 : 9781783288823
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Product Details

Publication date : Sep 23, 2015
Length: 300 pages
Edition : 1st
Language : English
ISBN-13 : 9781783288823
Category :
Languages :
Concepts :
Tools :

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Table of Contents

11 Chapters
1. The Landscape of Scientific Computing – and Why Python? Chevron down icon Chevron up icon
2. A Deeper Dive into Scientific Workflows and the Ingredients of Scientific Computing Recipes Chevron down icon Chevron up icon
3. Efficiently Fabricating and Managing Scientific Data Chevron down icon Chevron up icon
4. Scientific Computing APIs for Python Chevron down icon Chevron up icon
5. Performing Numerical Computing Chevron down icon Chevron up icon
6. Applying Python for Symbolic Computing Chevron down icon Chevron up icon
7. Data Analysis and Visualization Chevron down icon Chevron up icon
8. Parallel and Large-scale Scientific Computing Chevron down icon Chevron up icon
9. Revisiting Real-life Case Studies Chevron down icon Chevron up icon
10. Best Practices for Scientific Computing Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(6 Ratings)
5 star 50%
4 star 16.7%
3 star 16.7%
2 star 16.7%
1 star 0%
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Top Reviews

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ruben Dec 02, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have read this book good experience very useful and interesting All the that I have read like this were very theoricalthis books has applications that we can aplyVery nice experience. I could aply this to my classes in mechatronics and electronicsThanks
Amazon Verified review Amazon
ram krishn mishra Sep 28, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really This book is very useful ...General topic related to scientific computing and provided an appropriate context by Dr. Hemant Mehta sir which is fully practical oriented.
Amazon Verified review Amazon
SuJo Dec 02, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book has huge potential, and like a few of the fellow reviewers I also agree that it could have used a lot more discussion in a few of the advanced areas. However, since the bulk of this book delivers on Scientific Computing I was really satisfied overall with the book. The real-life case studies and best practices were what sealed the deal for me. The previous 8 chapters are great, but Chapter 10 made me feel like I accomplished something, while also ending with friendly reminders or gotcha's. Security is something that you don't find covered in most programming books, but this book did indeed offer some guidance on it in Chapter 10. I guess I really enjoyed the final chapter a lot, but this book is something I'll have to read over a few dozen times to allow the deep technical aspects sink into my cranium a lot more.
Amazon Verified review Amazon
Winston Nov 30, 2015
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Mastering Python Scientific Computing is a book for anyone from a newbie python programmer to advanced users. Python is a very powerful programming language whose uses strength from web development to scientific computing. This book does a very good job explaining pythons uses for scientific programming by showing readers how to use NumPy and SciPy to perform scientific calculations.The reader will leave this book armed with the knowledge to take their use of Python for scientific programming to the next level. Further reading of Python libraries like NumPy, SciPy, Pandas, Matplotlib, and IPython is needed for true mastery.
Amazon Verified review Amazon
Tim Crothers Nov 30, 2015
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
I had high hopes for this book as there aren't a lot of solid resources for using Python for scientific computing. Unfortunately in the end the author tried to cover too much and as a result the information is very surface level with insufficient depth to be useful in most cases, no "mastery" will be gained from it. There are a few gems (hence the 3 stars) and the book does an okay job of covering the topics germane to scientific computing so is useful for those looking to understand the options at a high level. I find that more specific books on topics like NumPy, pandas, and SciPy are far more useful for mastering than the simple treatment they are given here.
Amazon Verified review Amazon
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