Calculate memory used by a #pandas dataframe:
— Daily Python Tip (@python_tip) February 24, 2020
df.memory_usage(deep=True).sum()
Calculate memory used by a #pandas dataframe:
— Daily Python Tip (@python_tip) February 24, 2020
df.memory_usage(deep=True).sum()
Watch the beauty of code in Adrien Treuille's presentation from #PyDataLA - Turn Python Scripts into Beautiful ML Tools. Video is available here: https://t.co/FlXfG56nuO
— PyData (@PyData) February 23, 2020
Got tired of Googling this, so here's how to open a Jupyter notebook from within a virtual environment: https://t.co/1y2Jdu8TrN
— Vicki Boykis (@vboykis) February 18, 2020
#NumPy has many function ignoring NaN values (the list is 👇👇👇)
— Daily Python Tip (@python_tip) February 17, 2020
>>> import numpy as np
>>>
>>> np.nanvar([1,2,3])
0.6666666666666666
>>> np.nanvar([1,2,3,np.NaN])
0.6666666666666666
>>> np.var([1,2,3,np.NaN])
nan pic.twitter.com/aMxHLGMZQ7
SciPy 1.0: fundamental algorithms for scientific computing in Python
— hardmaru (@hardmaru) February 11, 2020
“The development cost of SciPy is estimated in excess of $10M. Yet the project is largely unfunded, having been developed predominantly by graduate students in their free time”https://t.co/A1Ee81Snsv
A JupyterLab extension for displaying dashboards of GPU usage
— ML Review (@ml_review) February 10, 2020
By @rapidsai ( @_JacobTomlinson )
Github:https://t.co/UwCXGuOijG
Blog:https://t.co/eMAaPxhDOk pic.twitter.com/jSpQJW1qHw
py-sanity: Opinionated Coding Guidelines and Best Practices in Python https://t.co/oeEjmhJlAh
— PyCoder’s Weekly (@pycoders) January 29, 2020
Real World Numba: Creating a Skeleton Analysis Library by Juan Nunez-Iglesias. This talk describes the library & application & discusses how to write n-dimensional image analysis code, examples of using Numba to speed up real-world array-based code & more. https://t.co/6zMeAEy3In
— Python Software Foundation (@ThePSF) January 24, 2020
So excited!!!!!!!!!
— Anne Bonner (@annebonnerdata) January 22, 2020
The tutorial I built for NumPy has been published!! 🍾💫
If you're a beginner and you want to learn the basics of #NumPy, take a look!!
https://t.co/0UNROZBoBI@numpy_team #SeasonOfDocs #TechnicalWriting #OpenSource #DataScience #MachineLearning
How to use Python to expose politicians by Rafael Garcia-Dias. This talk presents a project that uses an API of the Brazilian government to retrieve data from congresspeople and expose how they are spending people's money. https://t.co/cSDTvcsEv4
— Python Software Foundation (@ThePSF) January 21, 2020
I just read this. It’s harsh but not untrue. I like the recommendation to do a post-mortem of the Python 3 transition. https://t.co/Ntb7E7z2Bo
— Guido van Rossum (@gvanrossum) January 13, 2020
The first pandas 1.0 release candidate is out! Pandas has become the de-facto data munging tool in Python, and this is a major development.https://t.co/i0NrrAymVc#machinelearning #ai #datascience #ds #ml
— Bojan Tunguz (@tunguz) January 13, 2020