Learning IPython for Interactive Computing and Data Visualization

by Cyrille Rossant (Author)

24 ratings

ISBN-13: 978-1782169932

ISBN-10: 9781782169932

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Learning IPython for Interactive Computing and Data Visualization

ASIN ‏ : ‎ 1782169938
Publisher ‏ : ‎ Packt Publishing (April 25, 2013)
Language ‏ : ‎ English
Paperback ‏ : ‎ 138 pages
ISBN-10 ‏ : ‎ 9781782169932
ISBN-13 ‏ : ‎ 978-1782169932
Item Weight ‏ : ‎ 11.4 ounces
Dimensions ‏ : ‎ 7.5 x 0.32 x 9.25 inches

Best Sellers Rank: #3,984,899 in Books (See Top 100 in Books)
- #1,668 in Mathematical & Statistical Software
- #3,996 in Python Programming
- #7,315 in Software Development (Books)

Customer Reviews:
24 ratings

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Customer reviews

5 star		39%
4 star		16%
3 star		20%
2 star		16%
1 star		9%

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Abstractist

need on-line updated ebook + paper copy to learn

Reviewed in the United States on December 1, 2019

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book itself is well written and organized, despite some outdated information and coding syntax, that's why it's best to follow both the on-line jupyter chapters along with reading the hardcopy to learn, this way you get the best of both worlds and your information would be most recent and updated.

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Wilfred R. Pinfold

iPython is an easy to use tool for computation and data scientists that ...

Reviewed in the United States on February 28, 2015

Verified Purchase

This book provides a clear step by step introduction to iPython. iPython is an easy to use tool for computation and data scientists that provides powerful tools for data access, display and visualization. Working through the book is entertaining and by the time you get to the end you will be doing sophisticated data analysis with seemingly little effort.

One person found this helpful

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sipy

Loved it.

Reviewed in the United States on December 30, 2015

Verified Purchase

Clear, concise guide for people that don't need the "why" - just the "what". Literally 10 minutes after opening this book I was working on MY problem, and no longer trying to figure out how to get started. Loved it.

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Brian Du Preez

Concise introduction into using iPython

Reviewed in the United States on September 3, 2013

Verified Purchase

This book quickly gets you up and running with iPython, it is targeted Python 2.7, but worked through it in 3.3 with some very minor changes.
Nice intro for a great product.

2 people found this helpful

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Delip Rao

Great example of writing a tech book

Reviewed in the United States on July 10, 2013

Verified Purchase

This is one of those books that make you want to write a review. I love how this book explains the basic ipython, matplotlib, numpy and scipy without getting too elementary or getting too detailed. Books should be written like this -- I don't need to skim 100 pages of basics to get to the material and look over hundred more pages of nitty gritty that I know I won't need right away. I can always Google for that.

3 people found this helpful

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Amazon Customer

Good book for ipython

Reviewed in the United States on April 9, 2014

Verified Purchase

Five star for this ebook because it explains a lot and gives example how to work on ipython. If you into python, you should buy this book to learn ipython.

2 people found this helpful

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david t. Pitts

This is a good start for some one learning a new language.

Reviewed in the United States on January 29, 2014

Verified Purchase

I am very impressed with the IPython language which is free. This will enable me to plot some very exotic 3D figures.

One person found this helpful

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steve_oakland

I don't see the point of iPython

Reviewed in the United States on November 17, 2014

Verified Purchase

The more I learn about it, the more it seems like iPython is a fad. there is nothing in this book that convinces me iPython is anything more than a hodgepodge of ideas that is billed as some sort of soft and easy to learn tool for scientists. Instead learning the ins and outs of the iPython environment for scientific computing, it may just be better to stick with the bash shell, master R for more powerful statistical packages and better graphics. If you want a notebook, use Markdown. I'm not sure anyone will be talking about iPython seriously in a few years.

One person found this helpful

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Mark Andrews

Good but brief introduction of scientific python

Reviewed in the United Kingdom on June 4, 2014

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A valuable set of inter-related topics are covered in this book. It covers ipython, pandas, cython, numpy, parallel computing, etc. These are all really important parts of the scientific python ecosystem, and there are few or no books out there that properly deal with them all together. For that reason, this book is well recommended. However, I was disappointed in how thin and minimal the coverage of these topic was. Altogether, the book was 119 pages. For this set of topics, this meant that all we got was a brief introduction to each of these topics. That introduction was good, but that's all it was.

Another thing to mention is that this book is titled as if it is a book about IPython. However, it really is not. Ipython is just one of the set of tools it covers. A more appropriate title might be "A good but brief introduction to scientific and numerical python, including ipython, matplotlib, numpy, cython, pandas, parallel python, etc. Essentially, an appetiser".

One person found this helpful

onde

Mostly disappointing for anyone with minimal experience

Reviewed in Germany on January 29, 2014

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This book tries to introduce you to a wide range of topics from ipython, numpy, scipy, matplotlib over pandas to cython etc. It's not just on ipython as the title might suggest and it's mainly targeted at the beginner who was solid Python knowledge though. It is only able to scratch the surface of the discussed packages and I would have preferred an in depth look at just some of these. A good chunk of the book is on ipython and I learned a few good tricks from that section. However overall, if you've ever played around with any of the other libraries for longer than 15 minutes, you probably already know everything that you will learn from this book.

One person found this helpful

JOBENIL LUIZ MAGALHAES JR

Avaliação

Reviewed in Brazil on July 18, 2015

Verified Purchase

Ainda estou estudando, mas é um manual prático e fácil de seguir. Trás exemplos que podem ser reproduzidos em ipython notebook.

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pascal dauliac

Titre prometteur

Reviewed in France on June 14, 2013

Verified Purchase

En ce qui me concerne, il manque vraiment de la substance ! alors qu'il y a tellement de chose à montrer

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D. A. Robinson

Not sure about this one

Reviewed in the United Kingdom on September 2, 2013

Verified Purchase

I guess I am not sure that I really see the point of IPython. I have followed the examples, and get them to work, but I am left asking why I don't just use standard Python in a Visual Studio framework, and simply use the debugging facilities that supplies. I know it is meant to be more of a Matlab replacement, than a Program development environment; but having used both, I am not completely convinced that IPython is all that useful, and hence the need for this book. I will continue to explore IPython, and if I change my mind, I will comeback and revamp this review.

Additional Points. I guess I have to agree with Jean-Luc Ricard's comment about this being more of a statement on Python than a review of the book. I still maintain the 3 star rating. The book is not as well put together as Wes McKinney's book "Python for Data Analysis", but then it is approximately half the length. The book failed to explain to me the advantages of using IPython as against a more conventional approach detailed in the earlier section. Although perhaps this is a purely personal quirk.

Having purchased both this book and the McKinney book; knowing what I know now, I think my recommendation would be if you need to learn IPython, go for the McKinney book.

Many thanks to Jean-Luc for making a very helpful comment.

2 people found this helpful

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Learning IPython for Interactive Computing and Data Visualization

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