benmarwick

# read in data
soil_colour <- 
  readxl::read_excel("KWL_chronology.xlsx", 
                     sheet = "soil_color")

layer_depths <- 
  readxl::read_excel("KWL_chronology.xlsx", 
                     sheet = "depth") # some of the Pit IDs don't match the Pit IDs in the soil_colour sheet...

library(tidyverse)

D-K-E

# Packages ---------------------------------------
import os # Needed for orienting in OS
import bibtexparser # Needed for parsing bibtex files
from bibtexparser.bparser import BibTexParser # Parses the bibtex
from bibtexparser.customization import convert_to_unicode # Converts latex
accents to unicode
import requests # Needed for uploading to zotero server
import pickle # For saving data locally
import json # Needed for converting data to zotero-server friendly format

avram

#!/usr/bin/python
# -*- coding: utf8 -*-

# We'll use the pyzotero project for server access
# See packages.python.org/Pyzotero/
from pyzotero import zotero

import sys

# Python's built-in CSV support is pretty nice