User Tools

Site Tools


other:uvcdat:cdat_conda:cdat_8_2_1

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision Both sides next revision
other:uvcdat:cdat_conda:cdat_8_2_1 [2023/12/13 13:49]
jypeter [Extra packages list] Added ydata-profiling
other:uvcdat:cdat_conda:cdat_8_2_1 [2023/12/15 10:26]
jypeter [Extra packages list] Added D-Tale
Line 354: Line 354:
   * [[https://​dash.plotly.com/​|dash]] and [[https://​github.com/​plotly/​jupyter-dash|jupyter-dash]]:​ the original low-code framework for rapidly building data apps in Python, R, Julia, and F#   * [[https://​dash.plotly.com/​|dash]] and [[https://​github.com/​plotly/​jupyter-dash|jupyter-dash]]:​ the original low-code framework for rapidly building data apps in Python, R, Julia, and F#
     * see also ''​plotly''​     * see also ''​plotly''​
 +  * [[https://​github.com/​man-group/​dtale|D-Tale]] brings you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/​ipython terminals.
 +    * Install with: ''​conda install dtale -c conda-forge''​
   * [[https://​dynamictimewarping.github.io/​|python-dtw]]:​ implementation of Dynamic Time Warping-type (DTW)   * [[https://​dynamictimewarping.github.io/​|python-dtw]]:​ implementation of Dynamic Time Warping-type (DTW)
     * Note: older installations provided [[https://​github.com/​pierre-rouanet/​dtw|dtw]]:​ DTW (Dynamic Time Warping) python module     * Note: older installations provided [[https://​github.com/​pierre-rouanet/​dtw|dtw]]:​ DTW (Dynamic Time Warping) python module
other/uvcdat/cdat_conda/cdat_8_2_1.txt · Last modified: 2024/06/21 10:31 by jypeter