Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0 - Helion
Tytuł oryginału: Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0
ISBN: 9781785884153
stron: 382, Format: ebook
Data wydania: 2016-05-30
Księgarnia: Helion
Cena książki: 159,00 zł
IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.
This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail.
You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.
By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Osoby które kupowały "Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0 ", wybierały także:
- Windows Media Center. Domowe centrum rozrywki 66,67 zł, (8,00 zł -88%)
- Ruby on Rails. Ćwiczenia 18,75 zł, (3,00 zł -84%)
- Przywództwo w świecie VUCA. Jak być skutecznym liderem w niepewnym środowisku 58,64 zł, (12,90 zł -78%)
- Scrum. O zwinnym zarządzaniu projektami. Wydanie II rozszerzone 58,64 zł, (12,90 zł -78%)
- Od hierarchii do turkusu, czyli jak zarządzać w XXI wieku 58,64 zł, (12,90 zł -78%)
Spis treści
Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0 eBook -- spis treści
- 1. Using IPython for HPC
- 2. Advanced shell topics
- 3. Stepping up to IPython for parallel Computing
- 4. Messaging with ZeroMQ and MPI
- 5. Opening the toolkit – the IPython API
- 6. Works well with others – IPython and 3rd party tools
- 7. Seeing is believing – visualization
- 8. But it worked in the demo! – Testing
- 9. Documentation
- 10. Visiting Jupyter
- 11. Into the future