Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
Using Python's built-in defaultdict we can easily define a tree data structure:
def tree(): return defaultdict(tree)
That's it!
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
license: gpl-3.0 |
--ORACLE version | |
ALTER TABLE SEARCHAPP.SEARCH_AUTH_USER ADD CHANGE_PASSWD NUMBER(1,0); |
#!/usr/bin/env python | |
""" | |
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction. | |
""" | |
from __future__ import print_function, division | |
import numpy as np | |
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten | |
from keras.models import Sequential |
This script is modeled after tee
(see [man tee
][2]) and works on Linux, macOS, Cygwin, WSL/WSL2
It's like your normal copy and paste commands, but unified and able to sense when you want it to be chainable.
This project started as an answer to the StackOverflow question: [How can I copy the output of a command directly into my clipboard?][3]