Top 1-3 problems that you want to solve
Outline proposed solution for each problem
javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{ | |
default: Turndown | |
}, { | |
default: Readability | |
}]) => { | |
/* Optional vault name */ | |
const vault = ""; | |
/* Optional folder name such as "Clippings/" */ |
Set up a dask gateway and print the dashboard URL
import dask_gateway
cluster = dask_gateway.GatewayCluster()
client = cluster.get_client()
cluster.scale(8)
print(cluster.dashboard_link)
Zotero desktop used to manage literature references, with zotfile and zotero better bibtex plugins used to manage PDF attachments and create / maintain biblatex format downloads respectively.
Obsidian used to manage notes and tasks, with the citations plugin used to access literature references from the Zotero biblatex format export.
import networkx as nx | |
import numpy as np | |
import matplotlib as mpl | |
import matplotlib.pyplot as plt | |
import mplleaflet | |
import sys | |
def main(): | |
inputfile=sys.argv[1] | |
outputfile_base=sys.argv[2] |
import pandas as pd | |
from pandas.io.json import json_normalize | |
import requests | |
# IH API documented here: https://github.com/nybgvh/IH-API/wiki | |
url='http://sweetgum.nybg.org/science/api/v1/institutions' | |
def main(): | |
response = requests.get(url) | |
results = response.json() | |
# The JSON format record for an IH record has nested sections - the |
from sklearn.metrics import confusion_matrix | |
import pandas as pd | |
def cm2df(cm, labels): | |
df = pd.DataFrame() | |
# rows | |
for i, row_label in enumerate(labels): | |
rowdata={} | |
# columns | |
for j, col_label in enumerate(labels): |