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map j 10j | |
map k 10k | |
map h 10h | |
map l 10l | |
set disablesites=mail.google.com,drive.google.com,docs.google.com,facebook.com,google.com,hipchat.com,coursera.org,http://snap.berkeley.edu/,slack.com,github.com,armorgames.com,http://127.0.0.1:8888/,pandagrader.com,coderpad.io,proquest.safaribooksonline.com/book,codeschool.com,http://www.patatap.com/,ide.c9.io,mindmeister.com,cloud.digitalocean.com,calendar.sunrise.am,slides.com,trello.com,gradescope.com/courses,messenger.com/,app.asana.com/ | |
iunmap <C-a> | |
unmap <C-a> | |
unmap <C-f> | |
unmap r | |
unmap <C-p> |
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ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDRs56q2yOd/xDVskkQ8NWqZqFl3747n2uyqU5YY+1YtiLmcgSZ6fzrCZ72pgN+nPv5O3je+YNLC1TX7RbNqruGj7YoX4LUjQzOuJOYR1/s3nnesDtgK9H2M9A6+4ImSDjXxQTxwhiTB6r20niqIHKIvj7hsOMpbJaimU5tNtou95suloE+ulFs3vYx8DVLfD4gClnJnCE1eVUNqGxeEtIeF7rkP/1FdWW6aErjjxtRDI6SlFbCQHMKlFUSbLERYLRaorj6MZMEiLifKxHLjy9DnKzbzd7PhAwYfC1ALrLXEGykFgVbYICYh7RFuyAi+AEJuhOpqdd04xW0NNo3QBSh sam@ubuntu |
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[ | |
{ "keys": ["ctrl+v"], "command": "paste_and_indent" }, | |
{ "keys": ["ctrl+shift+v"], "command": "paste" }, | |
{ "keys": ["ctrl+tab"], "command": "next_view" }, | |
{ "keys": ["ctrl+shift+tab"], "command": "prev_view" }, | |
{ "keys": ["ctrl+u"], "command": "soft_undo" }, | |
{ "keys": ["ctrl+w"], "command": "close_file" }, | |
{ "keys": ["ctrl+'"], "command": "change_quotes" }, | |
{ "keys": ["ctrl+alt+i"], "command": "prompt_insert_nums" }, |
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### Handy Extract Program | |
ext () { | |
if [ -f $1 ] ; then | |
case $1 in | |
*.tar.bz2) tar xvjf $1 ;; | |
*.tar.gz) tar xvzf $1 ;; | |
*.bz2) bunzip2 $1 ;; | |
*.rar) unrar x $1 ;; | |
*.gz) gunzip $1 ;; |
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cd /home | |
find . -maxdepth 2 -name data8assets -group root | |
names= | |
for name in ${names[@]}; do cd $name ; chown -R $name:$name data8assets ; cd .. ; done |
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/ | |
/chapters/intro | |
/chapters/01/what-is-data-science | |
/chapters/01/1/intro | |
/chapters/01/1/1/computational-tools | |
/chapters/01/1/2/statistical-techniques | |
/chapters/01/2/why-data-science | |
/chapters/01/3/Plotting_the_Classics | |
/chapters/01/3/1/Literary_Characters | |
/chapters/01/3/2/Another_Kind_Of_Character |
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def compute_ppsf(df): | |
return df.assign( | |
ppsf=df['price'] / df['bsqft'], | |
log_ppsf=lambda df: np.log10(df['ppsf'])) |
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fig = px.scatter( | |
x=prediction_7var, y=error_7var, | |
labels=dict(x='Seven-variable prediction for AUM', y='Error'), | |
width=350, height=250) |
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px.scatter(crabs, y='inc', x= 'shell', width=350, height=250, | |
labels=dict(shell='Dungeness crab shell width (mm)', | |
inc='Growth (mm)')) |
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