Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering IPython 4.0
  • Table Of Contents Toc
Mastering IPython 4.0

Mastering IPython 4.0

By : Bitterman, Dipanjan Deb
3 (3)
close
close
Mastering IPython 4.0

Mastering IPython 4.0

3 (3)
By: Bitterman, Dipanjan Deb

Overview of this book

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.
Table of Contents (13 chapters)
close
close
6
6. Works Well with Others – IPython and Third-Party Tools
7
7. Seeing Is Believing– Visualization
12
Index

Growing professionalism


 

"A scientist builds in order to learn; an engineer learns in order to build."

 
 --Fred Brooks

What scientists do and what engineers do is different. Scientists are concerned with extending knowledge, engineers with applying it. When a scientist builds something, its purpose is fulfilled when the desired knowledge is gained – at that point, the useful life of the object is over. When an engineer builds something, a long useful lifetime is the purpose of applying the knowledge.

Much scientific software is written by scientists for scientific purposes. It is no surprise that it is often considered expendable once the knowledge it was written to produce has been extracted. While this approach produces immediate results, other researchers in the field who would also wish to use the software often find it difficult to use, maintain, and extend.

As problems and budgets get larger, funding agencies are starting to require that software be developed so that its lifetime is longer...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering IPython 4.0
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon