aparrish / Rwet
Notebooks and other materials for Reading and Writing Electronic Text
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Reading and Writing Electronic Text
Notebooks and other materials for Reading and Writing Electronic Text.
Contents
Session 01
Session 02
Session 03
Session 04
Session 05
Session 06
Session 07
Session 08
- N-grams and Markov chains (Make sure to download the standalone version of the Markov chain code here)
- Neural network text predition with textgenrnn
Session 09
Supplementary material
- Regular expressions in Python: a gentle introduction
- Quick and dirty keyword extraction
- Scraping HTML
More TK
License
Code and text examples in this repository are made available under the following license:
Copyright © 2018 Allison Parrish
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the “Software”), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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