I hereby claim:
- I am ijstokes on github.
- I am ijstokes (https://keybase.io/ijstokes) on keybase.
- I have a public key whose fingerprint is 42C9 D24F E877 5E94 7DD5 9773 0099 8F0F 5E7A 3BA7
To claim this, I am signing this object:
Ian Stokes-Rees ijstokes
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| name: mpg_prediction | |
| description: Predict MPG using a linear regression model | |
| commands: | |
| default: | |
| bokeh_app: . | |
| packages: | |
| - bokeh=0.12.5=py36_1 | |
| - pandas=0.20.1=np112py36_0 |
ijstokes
/ anaconda_latest_pkgs_no_versions.txt
Last active
April 11, 2023 16:32
Anaconda Latest: packages in the latest release of Anaconda (currently 4.4), without versions. This can be used to update all (and only) the packages that are found in Anaconda to the latest available version, since (you may be surprised to learn) the command `conda update anaconda` will not do this for you (see explanation below).
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| alabaster | |
| anaconda-client | |
| anaconda-navigator | |
| anaconda-project | |
| appnope | |
| appscript | |
| asn1crypto | |
| astroid | |
| astropy | |
| babel |
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| anaconda-client | |
| argcomplete | |
| babel | |
| backports | |
| beautifulsoup4 | |
| bitarray | |
| blaze | |
| bokeh | |
| boto | |
| cffi |
ijstokes
/ anaconda42_noversions.yml
Created
December 18, 2016 14:25
Anaconda 4.2 specifications without versions
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| name: anaconda42_noversions | |
| dependencies: | |
| - alabaster | |
| - anaconda-client | |
| - anaconda-navigator | |
| - appnope | |
| - appscript | |
| - argcomplete | |
| - astroid | |
| - astropy |
ijstokes
/ Anaconda 4.1 Python 3.5 packages for OSX
Last active
July 8, 2016 02:17
Packages in Anaconda 4.1
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| _nb_ext_conf: 0.2.0-py35_0 | |
| alabaster: 0.7.8-py35_0 | |
| anaconda: 4.1.0-np111py35_0 | |
| anaconda-client: 1.4.0-py35_0 | |
| anaconda-navigator: 1.2.1-py35_0 | |
| appnope: 0.1.0-py35_0 | |
| appscript: 1.0.1-py35_0 | |
| argcomplete: 1.0.0-py35_1 | |
| astropy: 1.2.1-np111py35_0 | |
| babel: 2.3.3-py35_0 |
ijstokes
/ keybase.md
Created
May 9, 2016 09:34
ijstokes
/ bokeh_flight_app.py
Created
March 2, 2016 09:53
A rich interactive data visualization for historical flight delays written in 144 lines of Python using Bokeh
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| import os | |
| import datetime | |
| import numpy as np | |
| import pandas as pd | |
| from bokeh.models import HBox, VBox | |
| from bokeh.io import curdoc | |
| from bokeh.plotting import Figure | |
| from bokeh.models.widgets import Select, Slider | |
| from bokeh.models import ColumnDataSource, HoverTool, Paragraph |
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| import sys | |
| print dir(sys) |