Build starting from a Jupyter 2.x image.
docker build -t jupyterlab .
| link_to_tmp() { | |
| # define colors | |
| local RED = '\033[31m' # mode 31 = red forground | |
| local GREEN = '\033[32m' # mode 32 = green forground | |
| local RESET = '\033[0m' # mode 0 = reset | |
| # no input given | |
| if [ $# -eq 0 ] | |
| then | |
| local INPUT=$PWD |
| ## using natbib | |
| ## when finished adding refs, run | |
| bibexport --nosave -o [LOCAL_BIB_FILE] main.aux | |
| ## then switch the \bibliography command from the central file to the local one, ie change | |
| # % \bibliography{[CENTRAL_BIB_FILE]} | |
| # % \bibliography{[LOCAL_BIB_FILE]} | |
| # % with biblatex you would run something like | |
| jabref -n --aux main.aux,[LOCAL_BIB_FILE] [CENTRAL_BIB_FILE] | |
| ## and again switch which bib file you're working with |
| # -*- coding: utf-8 -*- | |
| # NOTE: richiede intallazione di jinja via pip install jinja2 | |
| # NOTE: testato su | |
| import urllib.request | |
| import csv | |
| from datetime import datetime | |
| from jinja2 import Template | |
| import io | |
| def cazzillo_text_parser(cazzillotext): |
| #!/usr/bin/python | |
| # https://timwise.co.uk/2014/02/03/converting-kml-to-gpx-with-python/ | |
| # https://gist.github.com/timabell/8791116 | |
| import argparse | |
| import xml.sax | |
| parser = argparse.ArgumentParser(description='Convert annoying google android my tracks kml data to sensible gpx files') | |
| parser.add_argument('input_file') |
| #! /usr/bin/env python | |
| # Brain-dead simple utility to dump a list of annotations from a Sony Reader .db | |
| # Usage: $ python annot2html.py [int number of annot to fetch] | |
| import sys | |
| import sqlite3 as sql | |
| import xml.etree.ElementTree as ET | |
| # Mac-path! | |
| file_db = sql.connect('/Volumes/READER/Sony_Reader/database/books.db') |
| #!/bin/bash | |
| # | |
| # Copy data from a Time Machine volume mounted on a Linux box. | |
| # | |
| # Usage: copy-from-time-machine.sh <source> <target> | |
| # | |
| # source: the source directory inside a time machine backup | |
| # target: the target directory in which to copy the reconstructed | |
| # directory trees. Created if it does not exists. | |
| # |
| #!/bin/bash | |
| if [ "$1" = "-h" -o "$1" = "--help" -o -z "$1" ]; then cat <<EOF | |
| appify v3.0.1 for Mac OS X - http://mths.be/appify | |
| Creates the simplest possible Mac app from a shell script. | |
| Appify takes a shell script as its first argument: | |
| `basename "$0"` my-script.sh |