anielsen001

import numpy as np
from matplotlib.pylab import plt
plt.ion()

def to_cplx( r ):
    c = ( r[0::2]-127.5 ) + ( r[1::2]-127.5 )*1.0J
    return c

d = np.fromfile( 'file2019-11-17-21', dtype=np.uint8, count = 2**32 )

anielsen001

[adsbx]

api_key = 

[search]

lat = 
lon = 
dist = 

anielsen001

# example of using xargs to find files and sending files to a shell command with complicated file parsing
ls *mp4 | xargs  -I{} sh -c 'base=$(basename $1 .mp4) ; ffmpeg -i "$1" -vcodec copy -an "${base}"_noaudio.mp4' -- {}

anielsen001

# this is a simple example of how to parse an Aranet4 CO2 sensor and plot the data using Julia

using Dates
using DataFrames
using CSV
using Plots
plotly()

fname = "Aranet4 017E9_2020-12-10T05_04_41.csv"

anielsen001

Remove photo EXIF metadata with `exiftool`

```bash
exiftool -EXIF= <filename>
```