144 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

IFTTT
twitter
favorite
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

5 weeks 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.

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
from twitter_favs
january 2017 by sclopit

january 2017
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
january 2017 by doneata

january 2017 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

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

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

january 2017 by corychainsman

january 2017
by dstu

tags

2017 @bookdownload @numpy @python @resources academic 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 to tools toread tutorial twitter vector via:popular