fbender

#!/bin/sh
# mounts a folder to /var/discourse and installs bash (required by 
# Discourse launcher script)
#
# HOWTO:
# 
# 1. `docker machine ssh default` into the VM
# 2. `mkdir /mnt/sda1/var/discourse`
# 3. put this script at /var/lib/boot2docker/bootlocal.sh (this file 
#    will be persisted through reboots)

fbender

#!/usr/bin/env python
"""
Converts Internet Explorer 'capture network traffic' XML to a HAR file.

Turns out that XML is just a HAR file anyways, but in XML form. So this
just converts it to JSON, and Bob's your uncle.

Requires Python 2.7+ and LXML.
"""
from __future__ import unicode_literals

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# HOW TO SET UP
# - Go to Task Scheduler and create a new "user-defined script" task for "root" user. 
# - Schedule task before e.g. next Hyper Backup run (my sequence is: 00:58 mount task, 01:00 
#   run drive integrity test, 03:00 run backup, which will eject drive again at the end).
# - Copy this file's content to the "user-defined script" field and save. 
# - Make sure execution output logging is configured (e.g. saving to a shared folder). 
# - Either run script once and follow next section's info, or run "lsusb" yourself via SSH.
# - Fill in device details in variables below (until "END OF CONFIGURATION").
set -euxo pipefail
lsusb

fbender

#!/bin/sh -
# 
# Install baseline scientific packages including Jupyter kernel (e.g. into 'base' enviroment):
conda install sympy tabulate seaborn scipy ipykernel
# That's it, you don't need to install all of Jupyter into the enviroment if you "connect" from another 
# Jupyter instance, e.g. through VS Code with the Jupyter extension, to this enviroment; the 'ipykernel' 
# is sufficient. NumPy, matplotlib, pandas, etc. are part of the dependencies of above packages. Install 
# panda's recommended dependencies if numeric operations need a speed up, esp. for large data sets; ref. 
# https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html#install-recommended-dependencies
# Use 'pytables' or 'h5py' for very large data sets. For interactive plots, use 'bokeh'. Other interesting 

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### custom Oh-My-ZSH theme by fbender
# 
# verbose theme based on "steeef" from official omz repository
#   - vcs_info reduced to show type, name, and branch (if available) of repository only
#   - built-in slightly modified "timer" plugin from official omz repository
#   - extended Python virtual environment logic, i.a. adding conda support
#   - multi-line input (PS2) and debug (PS4) formatting
#   - more and different colors, date and time information, running job info, and more
# 
# recommended setopts: EXTENDED_HISTORY, RM_STAR_WAIT, CORRECT, CORRECT_ALL

fbender

<form>
  <fieldset class="rating">
    <legend>Use number keys or click buttons to rate from 0 to 8, or select "Unclear" (number 9)</legend>

    <div class="rating-group">
      <!-- 0-8 Rating Buttons -->
      <input type="radio" id="rate-0" name="rating" value="0">
      <label for="rate-0" class="grouped">0</label>

      <input type="radio" id="rate-1" name="rating" value="1">

fbender

<form action="javascript:">
  <fieldset class="rating">
    <legend>Use number keys or click buttons to rate from 0 to 8, or select "Unclear" (number 9)</legend>

    <div class="rating-group">
      <!-- 0-8 Rating Buttons -->
      <input type="radio" id="rate-0" name="rating" value="0">
      <label for="rate-0" class="grouped">0</label>

      <input type="radio" id="rate-1" name="rating" value="1">