Pierdomenico Fiadino pierdom

## .vimrc
filetype on
filetype plugin on
filetype indent on
syntax on
set number
set cursorline
set showmode
set showmatch
set hlsearch
set history=1000

## manual_settings.py
import matplotlib.pylab as plt
import seaborn as sns
import matplotlib

sns.set_style('whitegrid')

matplotlib.rcParams['figure.figsize'] = [9, 5]
matplotlib.rcParams['figure.facecolor'] = "#f2ece3"
matplotlib.rcParams['axes.facecolor'] = "#f2ece3"
matplotlib.rcParams['legend.facecolor'] = "#f2ece3"

## shift_labels.py
mybins = [0, 1, 2, 3, 4, 5]
ax = sns.distplot(my_df.my_col, bins=mybins)
_ = ax.xaxis.set(ticks=np.arange(0.5, len(mybins)), ticklabels=mybins)

## my_simple_speed_test.sh
ssh <user>@<server> "head -c 200M </dev/urandom" | dd of=/dev/null

## synology_syncthing_certificate.md

      
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                pierdom
                / synology_syncthing_certificate.md
            
            
              Last active
              August 17, 2022 03:16
            
              
                [Use Synology default certificate for Syncthing Web UI] #synology #sysadmin
              
          
    This how-to has been tested using a Synology DS214play nas with DSM 6.X and Syncthing v1.1.4.
Default Synology certificate and private key (e.g., released by Let's Encrypt) at this path:
/usr/syno/etc/certificate/system/default/{cert.pem|privkey.pem}.
After installing Syncthing using synocommunity.com repository, its self-signed certificate will be at this path:
/volume1/@appstore/syncthing/var/. This directory contains the priv-pub key to identify the device (cert.pem and key.pem) and the certificate and private key for the web interface (https_cert.pem and https_key.pem). We need to replace these last two with the Synology's ones.
Backup Syncthing certificate:


## openvpn_server_on_ddwrt.md

      
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                pierdom
                / openvpn_server_on_ddwrt.md
            
            
              Last active
              May 29, 2019 15:15
            
              
                Set-up OpenVPN server on DD-WRT #networking #sysadmin #security
              
          
    Generate certificates using Easy-RSA

Istruzioni qui: https://firxworx.com/blog/it-devops/sysadmin/creating-certificates-and-keys-for-openvpn-server-with-easyrsa-on-macos/
Configurare server

https://www.sparklabs.com/support/kb/article/setting-up-an-openvpn-server-with-dd-wrt-and-viscosity/

  
## groupby_agg_example.py
# define a custom function that calculates the percentile using numpy
def perc(n):
    def perc_(x):
        return np.percentile(x, n)
    perc_.__name__ = 'perc_%s' % n
    return perc_

# apply this function (and other stuff) to Pandas Groupby
df.groupby(['group_key_1', 'group_key_2']).agg({
    'col_a': np.sum,

## shapely_to_geojson.py
In [1]: from shapely.geometry import Point
In [2]: import geopandas as gpd

In [3]: shapely_polygon = Polygon([(0, 0), (0, 1), (1, 0)])

In [4]: gpd.GeoSeries([shapely_polygon]).__geo_interface__
Out[4]:
{'bbox': (0.0, 0.0, 1.0, 1.0),
 'features': [{'bbox': (0.0, 0.0, 1.0, 1.0),
   'geometry': {'coordinates': (((0.0, 0.0),

## ssh_config
Host my_shortcut
	HostName my_hostname
	User my_username
	Compression yes
	ServerAliveInterval 60

## python_x11_colors.py
cnames = {
'aliceblue':            '#F0F8FF',
'antiquewhite':         '#FAEBD7',
'aqua':                 '#00FFFF',
'aquamarine':           '#7FFFD4',
'azure':                '#F0FFFF',
'beige':                '#F5F5DC',
'bisque':               '#FFE4C4',
'black':                '#000000',
'blanchedalmond':       '#FFEBCD',
	filetype on
	filetype plugin on
	filetype indent on
	syntax on
	set number
	set cursorline
	set showmode
	set showmatch
	set hlsearch
	set history=1000
	import matplotlib.pylab as plt
	import seaborn as sns
	import matplotlib

	sns.set_style('whitegrid')

	matplotlib.rcParams['figure.figsize'] = [9, 5]
	matplotlib.rcParams['figure.facecolor'] = "#f2ece3"
	matplotlib.rcParams['axes.facecolor'] = "#f2ece3"
	matplotlib.rcParams['legend.facecolor'] = "#f2ece3"
	mybins = [0, 1, 2, 3, 4, 5]
	ax = sns.distplot(my_df.my_col, bins=mybins)
	_ = ax.xaxis.set(ticks=np.arange(0.5, len(mybins)), ticklabels=mybins)
	# define a custom function that calculates the percentile using numpy
	def perc(n):
	def perc_(x):
	return np.percentile(x, n)
	perc_.__name__ = 'perc_%s' % n
	return perc_

	# apply this function (and other stuff) to Pandas Groupby
	df.groupby(['group_key_1', 'group_key_2']).agg({
	'col_a': np.sum,
	In [1]: from shapely.geometry import Point
	In [2]: import geopandas as gpd

	In [3]: shapely_polygon = Polygon([(0, 0), (0, 1), (1, 0)])

	In [4]: gpd.GeoSeries([shapely_polygon]).__geo_interface__
	Out[4]:
	{'bbox': (0.0, 0.0, 1.0, 1.0),
	'features': [{'bbox': (0.0, 0.0, 1.0, 1.0),
	'geometry': {'coordinates': (((0.0, 0.0),
	Host my_shortcut
	HostName my_hostname
	User my_username
	Compression yes
	ServerAliveInterval 60
	cnames = {
	'aliceblue': '#F0F8FF',
	'antiquewhite': '#FAEBD7',
	'aqua': '#00FFFF',
	'aquamarine': '#7FFFD4',
	'azure': '#F0FFFF',
	'beige': '#F5F5DC',
	'bisque': '#FFE4C4',
	'black': '#000000',
	'blanchedalmond': '#FFEBCD',