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From a research budget perspective quality python libraries for math, ML and audio DSP have removed the much of the argument for MATLAB.
#numpy#matplotlib#librosa#TensorFlowhttps://twitter.com/erictopol/status/1019963463223742464 …
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Hey Everyone! It is an update for
#100DaysOfMLCode by@sirajraval day 8 and 9: Just combined linear algebra with#NumPy !@alexandrenriq That was an awesome advise
.pic.twitter.com/1nsa6YIDFP
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Use Python for scientific computing, numerical analysis or data science? Get the free Intel® Distribution for Python*, with built-in and accelerated NumPy, SciPy & scikit-learn, for native-code like performance speeds! https://buff.ly/2JsAT3P
#python#numpy#scipy#datasciencepic.twitter.com/mDqNdtQhmF
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7/100 After a week's break: Revisited & practiced
#NumPy basics, attributes of the ndarray object and ways of creating ndarrays.#100DaysOfCode#Pythonpic.twitter.com/mZQSrn07P9
এই থ্রেডটি দেখান -
New blog 'K-means in Python 3 on
#Sentinel2 data' full example with code. http://www.acgeospatial.co.uk/k-means-sentinel-2-python/ … using#Numpy,#Sklearn#Gdal. All using a#Jupyter Notebook#EarthObservationpic.twitter.com/RuMhwAz8ZM
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11th day of challenge! Routine to forest monitoring with
#python3#100DaysOfCode#Python#eagle#coders4conservation#numpy -
I just completed the course "Intermediate
#Python for Data Science" http://bit.ly/2KQvyIZ … via@DataCamp#datascience#numpy#matplotlib#pandas#bigdatapic.twitter.com/VbAniYzcFE
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@shoyer presenting recent#NumPy enhancement proposals, including fixes for surprising indexing behavior#SciPy2018pic.twitter.com/JEcGWLn9IM
এই থ্রেডটি দেখান -
#Python#TrainerTip: Avoid using built-in functions on#NumPy arrays -- there's a big#performance difference! Learn more about our training here https://goo.gl/Sev7Fz pic.twitter.com/qLRjAtLIEq
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#oddlysatisfying#mathart:#numpy +#seaborn xx = 2 * np.pi * np.random.rand(10000) yy = np.random.randn(10000) xx = np.cos(xx) + yy yy = np.sin(yy) plt.scatter(xx, yy, s=1, alpha=.5)
pic.twitter.com/JEo4AtESJP
এই থ্রেডটি দেখান -
Introduction to
#NumPy coming soon to a@treehouse near you. https://teamtreehouse.com/library/introduction-to-numpy/upcoming …#learntocode#python#datapic.twitter.com/l61sSgeyYl
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MPS / Tensor-Train now in
#TensorLy. Get it now from Github and try it with your favourite backend, be that#NumPy,@PyTorch,@ApacheMXNet,@TensorFlow or@ChainerOfficial's CuPy! https://github.com/tensorly/tensorly …pic.twitter.com/aOCEs5Hd9s
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Coming to
#SciPy2018 sprints next week? Toughest job will be to have to pick what package to help!#numpy@matplotlib#dask#conda#mesa#micropython#pandas@ProjectJupyter@scikit_learn#pysal@SymPy and more will be represented! See you there! -
Github ML Guide: Dive into Machine Learning with Python Jupyter Notebook and Scikit-learn!
#BigData#Analytics#Hadoop#Algorthms#MachineLearning#DataScience#AI#Python#Jupyter#CloudComputing#Serverless#Numpy#Pandas#ScikitLearn#Matplotlib#Scipy http://bit.ly/2lAvi1L pic.twitter.com/gXaFctc4kO -
#numpy is one release away from dropping python 2.7. pic.twitter.com/cWIvcit5c0
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I love generalized ufuncs from
#NumPy and@numba_jit makes them easy to produce. I needed a "vectorized" version of np.interp today. I thought it existed, but it took no time to write one. Sharing as an example of guvectorizehttps://gist.github.com/teoliphant/2edb542689af5f4732e83f54cb121d4c … -
Factorising a 1 billion element low-rank tensor (1000x1000x1000), revisited. If you are short on compute and/or memory, try the randomised version! Ran with
#TensorLy,#numpy and@PyTorch on@awscloud Tesla V100. pic.twitter.com/THWZpwA4hg
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A very warm welcome to third keynote speaker
@teoliphant of#PyConIndia2018
. He is the founder of @quansightai and Director at@anacondainc
.
So, do buy your early birds tickets today
https://in.pycon.org/2018/#tickets
#NumPy#SciPy#PyConIndia#EarlyBird#Ticketspic.twitter.com/6xsZRX6bVM
লোড হতে বেশ কিছুক্ষণ সময় নিচ্ছে।
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