138 bookmarks. First posted by phaustin december 2016.

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

2 days ago 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.

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9 weeks ago 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.

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10 weeks ago 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
10 weeks ago by jotjotjes

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

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10 weeks ago by sclopit

10 weeks ago
by vqc

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.

book
python
10 weeks ago by doneata

10 weeks ago by austinpmaher

RT @seanjtaylor: "From Python to Numpy", a free book about writing efficient scientific Python code: https://t.co/s1CFUXU8tI

"From Python to Numpy", a free book about writing efficient scientific Python code: https://t.co/s1CFUXU8tI

— Sean J. Taylor (@seanjtaylor) January 9, 2017

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"From Python to Numpy", a free book about writing efficient scientific Python code: https://t.co/s1CFUXU8tI

— Sean J. Taylor (@seanjtaylor) January 9, 2017

10 weeks ago by corychainsman

10 weeks ago
by dstu

Good overview of Numpy and what its doing under the hood with some tips and tricks.

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10 weeks ago by bobsomers

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2017 @bookdownload @numpy @python @resources academic big_data book books bookstoread code coding computer data-science data datascience data_science ebook favorite free from guide ifttt math mathematics maths numeric numericalcomputing numpy online prog programming python read-later ref reference research science scientificcomputing scipy statistics technical textbook to tools toread tutorial twitter vector via:popular