- Fruit = 1-2 servings
- Animal protein = 4 - 6 servings
- Healthy fats = 5 - 9 servings
- Healthy vegetables = 6 - 11 servings
- Healthy fats = 50%
#!/usr/bin/env python | |
# shell commands being automated. | |
# w | |
# aws ec2 stop-instances --instance-id INSTANCE_ID | |
# az vm deallocate --name NAME --resource-group RESOURCE_GROUP | |
""" | |
The script is the easy part, installing it into the unfriendly(imo) cron system and |
#!/bin/bash | |
cat all.json | | |
# curl 'http://www.khanacademy.org/api/v1/videos/localized/all' | | |
jq -r ' | |
[ | |
.[] | | |
{ | |
title, | |
en_id:.youtube_ids["en"], |
"""making a dataframe""" | |
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB')) | |
"""quick way to create an interesting data frame to try things out""" | |
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd']) | |
"""convert a dictionary into a DataFrame""" | |
"""make the keys into columns""" | |
df = pd.DataFrame(dic, index=[0]) |
# This is free and unencumbered software released into the public domain. | |
# | |
# Anyone is free to copy, modify, publish, use, compile, sell, or | |
# distribute this software, either in source code form or as a compiled | |
# binary, for any purpose, commercial or non-commercial, and by any | |
# means. | |
# | |
# In jurisdictions that recognize copyright laws, the author or authors | |
# of this software dedicate any and all copyright interest in the | |
# software to the public domain. We make this dedication for the benefit |