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@aaronwolen
aaronwolen / slides.md
Last active November 11, 2022 23:57
Pandoc template to generate reveal.js slideshows.

% Title % Name % Date

My first slide

List

@why-not
why-not / gist:4582705
Last active November 6, 2024 04:35
Pandas recipe. I find pandas indexing counter intuitive, perhaps my intuitions were shaped by many years in the imperative world. I am collecting some recipes to do things quickly in pandas & to jog my memory.
"""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])
@schovi
schovi / curl.example
Created September 14, 2012 17:58
How to use httpie instal of curl with elasticsearch
$ curl -XPUT 'http://localhost:9200/twitter/' -d '{
index : {
number_of_shards : 3
number_of_replicas : 2
}
}'
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active April 20, 2025 21:04
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs