Buy new:
-15% $25.51
FREE delivery Monday, May 13 on orders shipped by Amazon over $35
Ships from: Amazon.com
Sold by: Amazon.com
$25.51 with 15 percent savings
List Price: $29.99

The List Price is the suggested retail price of a new product as provided by a manufacturer, supplier, or seller. Except for books, Amazon will display a List Price if the product was purchased by customers on Amazon or offered by other retailers at or above the List Price in at least the past 90 days. List prices may not necessarily reflect the product's prevailing market price.
Learn more
Get Fast, Free Shipping with Amazon Prime FREE Returns
FREE delivery Monday, May 13 on orders shipped by Amazon over $35. Order within 4 hrs 24 mins
In Stock
$$25.51 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$25.51
Subtotal
Initial payment breakdown
Shipping cost, delivery date, and order total (including tax) shown at checkout.
Ships from
Amazon.com
Ships from
Amazon.com
Sold by
Amazon.com
Sold by
Amazon.com
Returns
Eligible for Return, Refund or Replacement within 30 days of receipt
Eligible for Return, Refund or Replacement within 30 days of receipt
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Read full return policy
Returns
Eligible for Return, Refund or Replacement within 30 days of receipt
This item can be returned in its original condition for a full refund or replacement within 30 days of receipt.
Read full return policy
Payment
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Payment
Secure transaction
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
$15.00
$3.79 delivery Wednesday, May 15. Details
Or fastest delivery May 9 - 13. Details
Only 1 left in stock - order soon.
$$25.51 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$25.51
Subtotal
Initial payment breakdown
Shipping cost, delivery date, and order total (including tax) shown at checkout.
Access codes and supplements are not guaranteed with used items.
Ships from and sold by tlemosyne.
Amazon book clubs early access
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Explore Amazon Book Clubs
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

Follow the author

Andrew Collette
+ Follow
More books from this author
Something went wrong. Please try your request again later.

Python and HDF5: Unlocking Scientific Data 1st Edition

by Andrew Collette (Author)
4.3 4.3 out of 5 stars 36 ratings
See all formats and editions
{"desktop_buybox_group_1":[{"displayPrice":"$25.51","priceAmount":25.51,"currencySymbol":"$","integerValue":"25","decimalSeparator":".","fractionalValue":"51","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"GMxdvI5FD4IKA9Vr%2B2ApNzp1%2F2Xy9yxmId59kfHcATsb9mrP4EurQcSx5n8vjhHwvWsJACpqugqXUYWuSDWCjsJeccRiFDBljfiC%2BxNMbmO29INDgQNV64qFVAucpfJJxW9NZbEV5HnAUZ17aIcsoQ%3D%3D","locale":"en-US","buyingOptionType":"NEW","aapiBuyingOptionIndex":0}, {"displayPrice":"$15.00","priceAmount":15.00,"currencySymbol":"$","integerValue":"15","decimalSeparator":".","fractionalValue":"00","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"GMxdvI5FD4IKA9Vr%2B2ApNzp1%2F2Xy9yxmXGtN%2FOFtjQLy%2FmekyGBYge584TEUVmOFl4CSiGZoElCDQJS9N6%2FIe2LGpqeOWJFMgIv2TMH2wvENbUe%2BuyW4nI90RkV9X16ZvYY1dWn8aJE91%2BttfJ20KhKgkzN47g4XPAl%2BNpzGRxQnb5Rz19Hmlg%3D%3D","locale":"en-US","buyingOptionType":"USED","aapiBuyingOptionIndex":1}]}

Purchase options and add-ons

Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.

Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you’re familiar with the basics of Python data analysis, this is an ideal introduction to HDF5.

  • Get set up with HDF5 tools and create your first HDF5 file
  • Work with datasets by learning the HDF5 Dataset object
  • Understand advanced features like dataset chunking and compression
  • Learn how to work with HDF5’s hierarchical structure, using groups
  • Create self-describing files by adding metadata with HDF5 attributes
  • Take advantage of HDF5’s type system to create interoperable files
  • Express relationships among data with references, named types, and dimension scales
  • Discover how Python mechanisms for writing parallel code interact with HDF5

Read more Read less
Previous page
  1. ISBN-10
    1449367836
  2. ISBN-13
    978-1449367831
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    December 10, 2013
  6. Language
    English
  7. Dimensions
    7 x 0.3 x 9.19 inches
  8. Print length
    148 pages
  9. See all details
Next page
Amazon First Reads | Editors' picks at exclusive prices

Editorial Reviews

About the Author

Andrew Collette holds a Ph.D. in physics from UCLA, and works as a laboratory research scientist at the University of Colorado. He has worked with the Python-NumPy-HDF5 stack at two multimillion-dollar research facilities; the first being the Large Plasma Device at UCLA (entirely standardized on HDF5), and the second being the hypervelocity dust accelerator at the Colorado Center for Lunar Dust and Atmospheric Studies, University of Colorado at Boulder. Additionally, Dr. Collette is a leading developer of the HDF5 for Python (h5py) project.

Product details

  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (December 10, 2013)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 148 pages
  • ISBN-10 ‏ : ‎ 1449367836
  • ISBN-13 ‏ : ‎ 978-1449367831
  • Item Weight ‏ : ‎ 9.1 ounces
  • Dimensions ‏ : ‎ 7 x 0.3 x 9.19 inches
  • Customer Reviews:
    4.3 4.3 out of 5 stars 36 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.
Andrew Collette

Andrew Collette

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Discover more of the author’s books, see similar authors, read author blogs and more

Customer reviews

4.3 out of 5 stars
4.3 out of 5
36 global ratings
Color coded graphs, but in B&W
4 Stars
Color coded graphs, but in B&W
I needed a concise crash course on HDF5 with Python for work, and this book fit the bill. I knocked off 1 star because there are graphs that are meant to convey info through color, but they were printed in black & white (see picture). Rookie mistake.
Hide
Thank you for your feedback
Sorry, there was an error
Sorry we couldn't load the review

Top reviews from the United States

Big Dog WMF
5.0 out of 5 stars I occasionally use Python (I am a crusty old F90 type of DOE lab physicist who generally accesses HDF5 from Fortran directly for data analysis and simulation code I/O) and this book made it very easy to write simple scripts to write/read/analyze data in HDF5
Reviewed in the United States on July 29, 2017
Verified Purchase
For anyone using Python and HDF5, this book should be viewed as an essential. I occasionally use Python (I am a crusty old F90 type of DOE lab physicist who generally accesses HDF5 from Fortran directly for data analysis and simulation code I/O) and this book made it very easy to write simple scripts to write/read/analyze data in HDF5. This is so affordable why wouldn/t any serious scientist using HDF5 have this on his/her bookshelf?
3 people found this helpful
Helpful
 Report
K Foster
4.0 out of 5 stars Color coded graphs, but in B&W
Reviewed in the United States on August 20, 2022
Verified Purchase
I needed a concise crash course on HDF5 with Python for work, and this book fit the bill. I knocked off 1 star because there are graphs that are meant to convey info through color, but they were printed in black & white (see picture). Rookie mistake.
Customer image
K Foster
4.0 out of 5 stars Color coded graphs, but in B&W
Reviewed in the United States on August 20, 2022
I needed a concise crash course on HDF5 with Python for work, and this book fit the bill. I knocked off 1 star because there are graphs that are meant to convey info through color, but they were printed in black & white (see picture). Rookie mistake.
Images in this review
Customer image
Customer image
Helpful
 Report
LPO
5.0 out of 5 stars Five Stars
Reviewed in the United States on August 10, 2015
Verified Purchase
Excellent discussion and demonstration of the combination of 2 big data powerhouse technologies. Very well written and accessible.
One person found this helpful
Helpful
 Report
A. Zubarev
5.0 out of 5 stars An excellent technical read, concise, professional
Reviewed in the United States on November 28, 2013
It is probably yesterday’s news that Python is the de facto programming language for anything Data Science. And the latest book on Python and HDF5 integration is a more recent proof to that.

I want to state here that it seems to be the ONLY book on the market today on the becoming increasingly popular self contained data storage and manipulation format HDF5 that explains how to program against it in Python at an enterprise level.

Even though it is a book review, let me briefly explain that HDF5 is a database like, hierarchical file structure closely resembling the early file-based databases implementing Balanced Tree indexing for fast data retrieval. The fact the file is self contained helps keep data, attributes and even computational results together for transparent data exchange, in fact it is so inter-operating platforms exchange-ready it takes complete care of the platform differences as little-endian versa big-endian for example, and boy Andrew knows how to explain that in the book!

Actually, the book has made me aware of how important it is to use proper technologies when you have no idea where (here platform) your data will be consumed.

As a brief side note, myself I programmed hierarchical data structures for fats data retrieval in the early 90s, in C, not even knowing they are called B-Trees. And the concept has such a broad implementation.

So in short, the book is excellent, written in a concise, professional manner (between me and you, 0 volume inflating fluff).

The author has made sure the book is full of useful examples covering each nuance or an important feature so reading this book feels natural and logical. I am also glad the author devoted a significant effort to convey to a developer ( I hate the word ‘programmer’ :-) ) on the proper methods of concurrent programming, which is what a pity – a common omission in many beginners’ books.

I am sure this book will make you going or will let you start coding against HDF5 in no time. I am sure this book will be used as a table reference (or on your computer desktop).

I am giving this book a 5 out of 5 rating, kudos to O’Reilly that has delivered yet another outstanding publication.

Disclaimer: This book was given to me for free as part of the blogger review program by O'Reilly Media.
12 people found this helpful
Helpful
 Report
Al
5.0 out of 5 stars Get this Book Now!
Reviewed in the United States on November 13, 2013
Andrew Collette's "Python and HDF5" is a welcome, overdue, and timely addition to the Python canon. h5py, an interface to HDF5 in Python, has become the proverbial "gateway drug" into HDF5 for most; however, h5py lacked for some time what this book now delivers--- a clear, concise, example-ridden text that teaches even the most novice of Python users how to leverage HDF5.

The author assumes minimal familiarity with Python and numpy; however, in the event you're coming at this cold, chapter 2 walks you through the basics. The author continues with datasets (as he writes, "the central feature of HDF5"). After that, you're off and running and free to explore the remaining sections on chunking and compression, hierarchy, external links, attributes, etc. He even includes a section on parallel HDF5 with mpi4py (a welcome surprise).

As someone who's aimlessly "Googled" his way through h5py in the past, I have to say this book is worth every penny. It's all here. Let this book and Python shape the way you think about HDF5, and maybe for the first time, you will see its simplicity.
16 people found this helpful
Helpful
 Report

Top reviews from other countries

Translate all reviews to English
Patrick
5.0 out of 5 stars Excellent start
Reviewed in Canada on July 10, 2020
Verified Purchase
This book contain all you need to start with HDF5 files and all that surround it. Quick and easy to read, it will put you on the right track. I was able to transit all info directly to Python 3.8 Thanks'
Report
Amazon Kunde
5.0 out of 5 stars Great structure, fun to read!
Reviewed in Germany on January 19, 2020
Verified Purchase
I was thinking about switching to a more common and performant data format for our experiment than the proprietary code/format we use now. I already read a little about HDF5 before and stumbled across this book.
If you are considering using HDF5 (and python obviously) this a great book to show you what HDF5 is capable of and honestly presents its limitations as well. In the ideal case you already know what kind of data you want to store and in more or less which structure, so can identify what HDF5 offers you as a solutions while you read the book.
I would still recommend to read the online documentation of h5py afterwards (that holds for most computer science topics/books I guess), but the book is a really great start and surprisingly fun to read for such a "dry" topic. I've read it in its whole in 4 evening sessions.

One additional chapter about using HDF5 with pandas would be very nice though...
Report
kepler man
4.0 out of 5 stars 意外なほど内容が豊富
Reviewed in Japan on June 23, 2018
Verified Purchase
まず、データ型がこんなにあったのかと驚きました。
Python2とPython3に対応しています。拡張子は、.h5は無く全て.hdf5に統一されています。
Deep Learningの各種フレームワークでも、hdf5のデータ・フォーマットは使われる事が多いのですが、そちらの記法例の記載はありません。それがあれば、星五つな感じ。
CaffeやKeras、Tensorflow、PyTorch、Chainer、Pandasなどでもバイナリー形式の高速フォーマットは、これからも有用なので、持っていた方が良い一冊だと想います。
3 people found this helpful
 Report
Harold Henson
4.0 out of 5 stars A good introduction
Reviewed in Canada on October 11, 2016
Verified Purchase
This book provides a lot of the most useful information necessary to using the HDF5 format. Although a great book, I did not give it a 5 star as it did not really address the use of this file system through Panda's. This is unfortunate, as I suspect that Pandas is likely the most popular.
Report
python/hdf5 プログラマー1号
1.0 out of 5 stars 文字が大きすぎて、情報量が少なすぎる。
Reviewed in Japan on March 23, 2022
Verified Purchase
文字が大きすぎて有益な情報がほとんどありません。
写っている写真が1ページ分です。もちろん拡大などはしておりません。
ご注意ください。
Customer image
python/hdf5 プログラマー1号
1.0 out of 5 stars 文字が大きすぎて、情報量が少なすぎる。
Reviewed in Japan on March 23, 2022
文字が大きすぎて有益な情報がほとんどありません。
写っている写真が1ページ分です。もちろん拡大などはしておりません。
ご注意ください。
Images in this review
Customer image
Customer image
2 people found this helpful
 Report