In [4]:
import sys; sys.path.append(_dh[0].split("knowknow")[0])
from knowknow import *

Introduction

This Python package, knowknow, is an attempt to make powerful, modern tools for analyzing the structure of knowledge open to anyone. Although I hope we can continue to improve the methods and documentation written here, and I intend that this grow larger than myself, this package acts as a stabilizing force for the field, giving us all access to the common methods and data for analyzing these structures.

I have included every inch of code here, leaving no stone unturned. With every pip install knowknow-amcgail, you download the following:

  • creating variables, a collection of pre-processing algorithms for cleaning and summarizing Web of Science search results, or JSTOR Data for Research data dumps.
  • analyses, a set of descriptive notebooks which illustrate these datasets
  • A connector to pre-computed cooccurrence sets, hosted on OSF

Projects

In [14]:
import urllib
cc = []
for fn in sorted(Path(".").glob("html/**/*.html")):
    name = str(fn).split("html\\")[1].split(".html")[0]
    cc += ["<li> <a href='%s'>%s</a> </li>" % (urllib.parse.quote(fn.name), name)]
cc = ['<ul>']+cc+['</ul>']
display(HTML("\n".join(cc)))
In [ ]: