Pan Chao pancodia
pancodia
/ bootstrap_jupyter.sh
Last active
July 12, 2021 05:51
— forked from nicor88/bootstrap_jupyter.sh
Bootstrap action to install Conda and Jupyter on EMR
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| #!/usr/bin/env bash | |
| set -x -e | |
| JUPYTER_PASSWORD=${1:-"myJupyterPassword"} | |
| NOTEBOOK_DIR=${2:-"s3://myS3Bucket/notebooks/"} | |
| # home backup | |
| if [ ! -d /mnt/home_backup ]; then | |
| sudo mkdir /mnt/home_backup | |
| sudo cp -a /home/* /mnt/home_backup |
pancodia
/ hass-icons.txt
Created
January 10, 2021 05:50
— forked from thomasloven/hass-icons.txt
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| hass:account | |
| hass:alert | |
| hass:alert-circle | |
| hass:altimeter | |
| hass:apple-safari | |
| hass:apps | |
| hass:arrow-bottom-left | |
| hass:arrow-down | |
| hass:arrow-left | |
| hass:arrow-right |
pancodia
/ Liberal Regex Pattern for URLs
Created
June 14, 2018 22:26
— forked from winzig/Liberal Regex Pattern for URLs
Updated @gruber's regex with a modified version that looks for 2-13 letters rather than trying to look for specific TLDs. Given the recent addition of ~1400 gTLDs, it may be time to give up on that front. (UPDATE 2018-05-15: Naked URLs without protocol prefix now capable of matching more advanced URLs. Also escaped / and " so it's easier to copy…
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| # Single-line version: | |
| (?i)\b((?:https?:(?:\/{1,3}|[a-z0-9%])|[a-z0-9.\-]+\.(?:[a-z0-9]{2,13})\/)(?:[^\s()<>{}\[\]]+|\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\))+(?:\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\)|[^\s`!()\[\]{};:'\".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?:[a-z0-9]{2,13})\b\/?(?!@)(?:[^\s()<>{}\[\]]+|\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\))+(?:\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\)|[^\s`!()\[\]{};:'\".,<>?«»“”‘’]))) | |
| # Commented multi-line version: | |
| (?xi) | |
| \b | |
| ( # Capture 1: entire matched URL | |
| (?: | |
| https?: # URL protocol and colon |
pancodia
/ sklearn_ridge_behaves_differently_in_python35_and_python36.py
Last active
July 12, 2017 01:37
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| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from sklearn.linear_model import Ridge, RidgeCV | |
| # import seaborn as sns # failed to show marker with this line uncommented | |
| # Load data (Hitters dataset) | |
| hitters_df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/Hitters.csv') | |
| hitters_clean_df = hitters_df.dropna() | |
| hitters_clean_df = pd.get_dummies(hitters_clean_df, drop_first=True) |
pancodia
/ sklearn_ridge_cv_issue.py
Created
July 8, 2017 04:27
RidgeCV gives a different result from running Ridge with manually implemented CV
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| ''' | |
| Python 3.6.1 |Anaconda 4.4.0 (x86_64)| (default, May 11 2017, 13:04:09) | |
| In [1]: import sklearn | |
| In [2]: print(sklearn.__version__) | |
| 0.18.1 | |
| ''' | |
| import pandas as pd | |
| from sklearn.model_selection import KFold |