YefanZhou

if need to print info in every referred file
```python
!python "script.py"
```
if need to visualize image
```python
%run -i 'script.py'
```

YefanZhou

pip install parmap

https://github.com/zeehio/parmap

parmap.map(..., ..., pm_pbar=True) # show a progress bar (requires tqdm)

YefanZhou

Normalize data before activation layer of internal layer to train the network faster.
https://towardsdatascience.com/batch-normalization-in-neural-networks-1ac91516821c

YefanZhou

ssh -L 16006:127.0.0.1:6006 olivier@my_server_ip

command line:tensorboard --logdir args.tensorboard_dir
remote port: 6006
local machine:
http://127.0.0.1:16006 

https://stackoverflow.com/questions/37987839/how-can-i-run-tensorboard-on-a-remote-server

YefanZhou

\usepackage{pifont} 
\usepackage[perpage]{footmisc}  %每页脚注重新编号
\renewcommand{\thefootnote}{\ding{\numexpr191+\value{footnote}}}

-----------------------------------------------------------------------
bug\footnote{text}

YefanZhou

nohup some_command &> NEW_name.out&

YefanZhou

{
    "name": "NAME OF FOLDER",
    "host": "ADDRESS",
    "protocol": "sftp",
    "port": 22,
    "username": "USERNAME BEFORE @",
    "password": "PASSWORD",
    "remotePath": "/home/fanuc/Xinghao/ContraGrasp",
    "uploadOnSave": true,
    "ignore": [

YefanZhou

#!/bin/bash
declare -i TRENDS=17                       # Trends used to compute 
declare -i MAT_SIZE=36757                  # Size of distance matrix
declare -i START_INDEX=0 
declare -i STEP=100                        # Step between START_INDEX and    
declare -i END_INDEX=0
END_INDEX=`expr $START_INDEX + $STEP`
declare -i INCREMENTAL_STEP=300

for i in $(seq 1 1 $TRENDS) 

YefanZhou

python -u test.py                       # force the stdout and stderr streams to be unbuffered
nohup python -u test.py > test.out &     

YefanZhou

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]

# C extensions
*.so

# Distribution / packaging
.Python
env/