This analysis was performed in a jupyter notebook. Libraries like pandas, scipy, matplotlib, seaborn and bokeh were used. What we did not do The focus of this analysis lies on the proceeding itself rather than on the actual outcome. We did not optimize a statistical or a machine learning ...
PyGWalker(pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding ofGraphicWalker". It integrates Jupyter Notebook withGraphic Walker, an open-source alternative to Tableau. It allows data scientists to visualize / clean / annotates the data with simple drag...
set(context='notebook', style='ticks', font='Times New Roman', font_scale=1.9, rc=None) sns.histplot(e_coli_wild_efflux[['INHIB_AVE_efflux', 'INHIB_AVE_wild']], alpha=0.5, bins=150) plt.legend(labels = ['Wild Type', '$\Delta TolC$'], fontsize=15) plt.xlim([-120, 120]...
This tool is designed to download pictures as fast as possible. This put a stress on various kind of resources. Some numbers assuming 1350 image/s: Bandwidth: downloading a thousand average image per second requires about 130MB/s CPU: resizing one image may take several milliseconds, several ...
Can download, resize and package 100M urls in 20h on one machine. Resources Readme License MIT license Activity Stars 0 stars Watchers 0 watching Forks 0 forks Report repository Releases 88 tags Packages No packages published Languages Python 78.9% Jupyter Notebook 19.0% Shell 1.3...