| new_df = snp_df.merge(df, how='inner', on=['rsid', 'genotype'], suffixes=('_SNPedia', '_myDNA')) |
| # Create a DataFrame for some subsets of genes | |
| good_genes = new_df[new_df.repute == 'Good'] | |
| bad_genes = new_df[new_df.repute == 'Bad'] | |
| interesting_genes = new_df[new_df.magnitude > 4] # 4 is the threshold for "worth your time" given by SNPedia |
| # Get the base URL from SNPedia | |
| base_url = 'https://www.snpedia.com/index.php/' | |
| # Create URLs for each gene that I want to study | |
| gene_urls = [base_url + rsid for rsid in bad_genes['rsid']] | |
| # Initialize Selenium | |
| browser = webdriver.Chrome() | |
| import time | |
| # Write a function to visit the SNPedia URLs, click through to PubMed, | |
| # and retrieve the info on the articles for each gene | |
| def scrape_abstracts(urls): |
| # DataFrame to CSV | |
| export_csv = abstracts_df.to_csv(r'/Users/lorajohns/Documents/Python/DNA/DNA_articles.csv') |
| import requests | |
| from bs4 import BeautifulSoup | |
| import time | |
| # We've now imported the two packages that will do the heavy lifting | |
| # for us, reqeusts and BeautifulSoup | |
| # This is the URL that lists the current inmates | |
| # Should this URL go away, and archive is available at | |
| # http://perma.cc/2HZR-N38X |
| ### Keybase proof | |
| I hereby claim: | |
| * I am lorarjohns on github. | |
| * I am silly_meninsky (https://keybase.io/silly_meninsky) on keybase. | |
| * I have a public key ASCCgBmQNmz7ZdAfSYaYd_Cg3sTPjkSrNfC10jlMfUh3XAo | |
| To claim this, I am signing this object: |
| #!/usr/bin/env ruby | |
| # A small ruby script to extract a git history to a tikz picture | |
| # Author: Michael Hauspie <Michael.Hauspie@lifl.fr> | |
| # Author: Lennart C. Karssen <lennart@karssen.org> | |
| # Author: Claudio Pisa <claudio.pisa@uniroma2.it> | |
| # | |
| # Not clean code, not always working well, but does its job in most of | |
| # the cases I needed :) | |
| # |
| #!/bin/sh | |
| # Usage: $ sh newproj.sh pythonversion projectname | |
| mkdir $2 && cd $2 && pyenv local $1 && pyenv virtualenv venv-$2 && pyenv local venv-$2 && pyenv activate venv-$2 |
FWIW: I didn't produce the content presented here (the outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.
| from textblob import Word | |
| def get_synonym_defs(word): | |
| word = Word(word) | |
| defs = zip(word.synsets, word.definitions) | |
| print(*defs) | |
| return word.synsets | |
| def print_ontological_comps(synset): | |
| print(f"SUB-COMPONENTS OF {synset.__repr__()}:\n") |