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# Converts a docx file with tables and images to (simple) HTML
# ORIGINAL CODE BY DAVID SSALI AT SOURCE: https://medium.com/@dvdssali/docx-to-html-1374eb6491a1
#
# Requires the Python module 'python-docx' <https://python-docx.readthedocs.io>
#
# Example use:
# >>> s = convert('./SOURCEDIR', 'SAMPLE.docx')
# >>> print(s)
# or
# $ python .\convert-docx-to-html.py > temp.html

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import urllib.request
import json
## import textwrap

import sqlite3

database = sqlite3.connect(':memory:')

cur = database.cursor()

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def pma_import_resubmit(br, sqlfile, target_dbname): 
	""" To be used in phpmyadmin dump.sql file imports using python-mechanize  
		as described in <https://github.com/phpmyadmin/phpmyadmin/issues/17423#issuecomment-1268271930>  
		Only call this function when you have already found a 'timeout_passed=' string in browser response 
		(so you are sure the page contains a resubmit link)
		"""
	# https://stackoverflow.com/questions/3569622/python-mechanize-following-link-by-url-and-what-is-the-nr-parameter/3569707#3569707
	#link = br.find_link(url = resumeurl)
	link = br.find_link(text = "resubmit the same file")
	link.absolute_url = link.absolute_url.replace("&amp;","&").replace("?", "?db="+target_dbname+"&")

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#encoding: utf-8
#
# Script to parse Esslinger's A Cumulative Checklist for the Lichen-forming,
# Lichenicolous and Allied Fungi of the Continental United States and Canada
# into machine-readable CSV.
#
# Esslinger's checklist (e.g.
# http://www.ndsu.edu/pubweb/~esslinge/chcklst/chcklst7.htm) is considered
# authoritative for North American lichens, but it's authored with MS Word and
# has incosistent formatting. This script attempts to smooth that out and

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def get_inat_access_token(username = None, password = None, app_id = None, app_secret = None, jwt=True):
	""" Get iNaturalist access token to make authenticated api requests and access your private data.  
		Example posted in <https://groups.google.com/g/inaturalist/c/PNfHggqoIYs/m/Lk30rlzKBAAJ>  
		and forked from <https://gist.github.com/kueda/53ef93159c64de96ddc2>  
		Other Python-iNaturalist stuff:
		- <https://github.com/pyinat/pyinaturalist/>
		- <https://inaturalist.nz/posts/20991-20-oauth2-package-for-python-body-str-paramsxml>
		- <https://www.inaturalist.org/journal/glmory/21331-python-upload-script>
		- <https://www.inaturalist.org/journal/glmory/21539-updated-python-upload-script>
		- <https://github.com/glmory/iNaturalist-Uploads>

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Written by Titus von der Malsburg <malsburg@posteo.de>, March 2014.

# This is a simple script for converting vCard files to
# org-contacts.  There is one mandatory argument: the name of the
# vCard file.  The result is printed to standard out.

# Usage:

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Migrate from PHP to Python

Hi all, recently I've decided to move on and learn Python programming. At first, I though that it would be very difficult but in fact... Not that much. So I've decided to write this little gist and show the main differences between both languages.

I will use try to follow the same order used on this website: https://pythonprogramming.net/introduction-to-python-programming/. It was really usefull to improve my understanding of Python programming.

To finish, I'm assuming that you already got basic knowledge in Object Oriented Programming and already got skills and understanding of PHP programming. This is not intended to explain you how to code in PHP but if you're coming from Python programming, then this gist might help you to migrate from Python to PHP.

Official documentations

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javascript:void(function(){setInterval(function(){document.querySelectorAll('iframe').forEach(function(element){console.log('Iframe Killa - Removing Element:', element);element.parentNode.removeChild(element)})},100)}());

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library(tidyverse)

# 2017 monthly
x <- tempfile("col")
dir.create(x)
download.file("https://download.catalogueoflife.org/col/monthly/2017-02-27_dwca.zip", file.path(x, "dwca.zip"))
unzip(file.path(x, "dwca.zip"), exdir = x)
fs::dir_ls(x)
taxa <- readr::read_tsv(file.path(x, "taxa.txt"), guess_max=1e6, quote="", col_types = readr::cols(.default = "c"))
taxa %>% filter(specificEpithet == "sapiens", taxonomicStatus == "accepted name", genus=="Homo")

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"""
Reportlab sandbox.
"""
from reportlab.lib.enums import TA_JUSTIFY
from reportlab.lib.pagesizes import letter, landscape

from reportlab.lib.enums import TA_JUSTIFY
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle