aic25

file transfer 
rsync -uvr -e ssh Study/* server:/home/me/Study/
scp ~/.ssh/id_rsa.pub darvader@deathstar.empire.gov:
sshpass -p "password" scp -r user@example.com:/some/remote/path /some/local/path
or
sshpass -f "/path/to/passwordfile" scp -r user@example.com:/some/remote/path /some/local/path

pscp .\Documents\DummyF\Dummy-d.txt server:DummyFolder/
apt-cache show zim | grep '^Recommends:'
find (can execute on files found), locate (easier to use), ln -s targetfile linkname

aic25

nvidia-docker run -it --rm -p 8870:8870 -p 8880:8880 -p 8890:8890 -p 5000:5000  --name me.test -v /home/me/Study/:/notebooks  tensorflow/tensorflow:1.8.0-gpu-py3

docker exec -ti me.test /bin/bash
apt-get update
pip install jupyterlab
pip install gputil
pip install keras==2.0.8
apt-get install git-core
apt-get install wget
cdls() { cd "$@" && ls -lrt; }

aic25

# In case of python_tk error
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt

# Limit the number of GPUs used
import tensorflow as tf
import numpy as np
import GPUtil
import os

aic25

```ascript.sh
#!/bin/bash
some script
```

```python.py
import subprocess
print("start")
cur_pwd = os.getcwd()
os.chdir("path/to/ascript")

aic25

# serveraccess.bat
@echo off
powershell.exe -executionpolicy bypass -windowstyle hidden -noninteractive -nologo -file "ServerAccess.ps1"
## ServerAccess.ps1
net use \\server /user:username password

aic25

#
# Ubuntu Node.js Dockerfile
#
# https://github.com/dockerfile/ubuntu/blob/master/Dockerfile
# https://docs.docker.com/examples/nodejs_web_app/
#

# Pull base image.
FROM ubuntu:14.04

aic25

#!/bin/bash

find . -type d -print0 | while read -d '' -r dir; do
    files=("$dir"/*)
    printf "%5d files in directory %s\n" "${#files[@]}" "$dir"
done

aic25

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

aic25

~/.bashrc
```
export PATH="/notebooks/webcam/ffmpeg_sources/bin:$PATH"
export OPENCV_FFMPEG_CAPTURE_OPTIONS="video_codec;h264_cuvid"
export OPENCV_V4L_CAPTURE_OPTIONS="video_codec;h264_cuvid"
export OPENCV_V4L2_CAPTURE_OPTIONS="video_codec;h264_cuvid"
alias ls='ls -lsrht --color=auto'
alias docker='sudo docker'
alias nvidia-docker='sudo nvidia-docker'
alias cuda-info='cat /usr/local/cuda/version.txt && nvcc --version'

aic25

#!/bin/bash
sum=$(ls -l *.dat | wc -l)
paste -d" " *.dat | awk -v s="$sum" '{
    for(i=0;i<=s-1;i++)
    {
        t1 = 2+(i*2)
        temp1 = temp1 + $t1
    }
    print $1""temp1/s
    temp1=0