160 bookmarks. First posted by phaustin december 2016.

12 days ago
by gep

An open-source book about numpy vectorization techniques, based on experience, practice and descriptive examples

august 2017 by dofine

Copyright (c) 2017 - Nicolas P. Rougier < Nicolas . Rougier @ inria . fr > Latest version - May 2017 There are already a fair number of books about Numpy (see )…

from instapaper
june 2017 by matttrent

Favorite tweet: MikeTamir

From Python to Numpy https://t.co/qCsKDh6RDM #MachineLearning #DataScience http://pic.twitter.com/Dl5XfZ6xir

— Mike Tamir, PhD (@MikeTamir) March 22, 2017

http://twitter.com/MikeTamir/status/844594609753915392

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From Python to Numpy https://t.co/qCsKDh6RDM #MachineLearning #DataScience http://pic.twitter.com/Dl5XfZ6xir

— Mike Tamir, PhD (@MikeTamir) March 22, 2017

http://twitter.com/MikeTamir/status/844594609753915392

march 2017 by tswaterman

There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you don't find in books and such techniques are mostly learned through experience. The goal of this book is to explain some of these techniques and to provide an opportunity for making this experience in the process.

numpy
python
book
scipy
2017
january 2017 by approximatelylinear

There are a lot of techniques to using Numpy that you don't find in books and such techniques are mostly learned through experience. The goal of this book is to explain some of these techniques and to provide an opportunity for making this experience in the process.

book
python
books
datascience
numpy
january 2017 by ivar

There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you don't find in books and such techniques are mostly learned through experience. The goal of this book is to explain some of these techniques and to provide an opportunity for making this experience in the process.

python
numpy
datascience
book
january 2017 by jotjotjes

Really neat online book "From #Python to #NumPy" by @NPRougier under | I especially like the visual & writing style.

NumPy
Python
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january 2017 by sclopit

january 2017
by vqc

tags

2017 @bookdownload @numpy @python @resources academic better-explained book books bookstoread code coding comp.ai comp.lang.python computer data-science data datascience data_science ebook explanation favorite free guide ifttt jupyter libraries linear-algebra math mathematics maths numeric numerics numpy pls prog programming python read-later ref reference research scicomp scipy statistics technical techtariat tools tutorial twitter unit via:popular visual-understanding 🖥