netskink

netskink

# Example usage of state machine class

#
#
#
class ns_MouseAction:
    def __init__(self, action):
        self.action = action

    def __str__(self):

netskink

Google Calendar

Using google calendar, create a calendar entry. Invite members by email. Assuming you know the email of all members who RSVP for meetup. Use the message function in meetup.com to ask for email if you don't know someone who has RSVP.

In the calendar invite, for the conference location specify hangouts. You do not need GSuite for this currently. For the location specify "online".

Voila! You have a scheduled an online meeting.

netskink

root@raspberrypi:~# ls -l /usr/src/
total 16
drwxr-xr-x 24 root root 4096 Feb 19 11:46 linux-headers-4.19.97+
drwxr-xr-x 24 root root 4096 Feb 19 11:46 linux-headers-4.19.97-v7+
drwxr-xr-x 24 root root 4096 Feb 19 11:46 linux-headers-4.19.97-v7l+
drwxr-xr-x  3 root root 4096 Feb 13 11:02 sense-hat

netskink

Using two wifi access points on debian

(Do this to copy and paste to github gist    xclip -sel c < file    )

Thanks to tds on freenode.

Using this guide
https://www.shellvoide.com/wifi/setup-wireless-access-point-hostapd-dnsmasq-linux/

Do this as root.  It appears i am not in a group for networking.  I'll

netskink

Using two wifi access points on debian

Using this guide
https://www.shellvoide.com/wifi/setup-wireless-access-point-hostapd-dnsmasq-linux/

Do this as root.  It appears i am not in a group for networking.  I'll
try to do this again as user davis and update the notes later.


Regarding the hardware.  I have built in wifi adapter on 

netskink

# from
# https://www.tensorflow.org/beta/tutorials/estimators/boosted_trees
# TODO: 2.0 is out now
#!pip install tensorflow==2.0.0-rc1
#try:
#    %tensorflow_version 2.x
#except Exception:
#    pass

netskink

# from
# https://www.tensorflow.org/beta/tutorials/estimators/boosted_trees
# TODO: 2.0 is out now
#!pip install tensorflow==2.0.0-rc1
#try:
#    %tensorflow_version 2.x
#except Exception:
#    pass

netskink

CREATE TEMP FUNCTION 
my_corr(x FLOAT64, y FLOAT64)
RETURNS FLOAT64
AS (
  (x*y)
);

WITH
cte1 (feat, colname, bc) AS (
  SELECT col1, 'col1', bc 

netskink

# from
# https://www.tensorflow.org/beta/tutorials/estimators/boosted_trees
import numpy as np
import pandas as pd
from IPython.display import clear_output
from matplotlib import pyplot as plt
import platform
try:
    %tensorflow_version 2.x
except Exception: