| #!/usr/bin/env python3 | |
| """ | |
| Parse PubTator raw data file, and creates ElasticSearch index, and populate the | |
| corpus (index: 'pubtator') | |
| You can download PubTator dataset from the following link: | |
| ftp://ftp.ncbi.nlm.nih.gov/pub/lu/PubTator/bioconcepts2pubtator_offsets.gz | |
| Place the file in 'data/' and run this code. Don't need to decompress the file. | |
| We assume that ElasticSearch is properly installed and accessible via its API |
| #!/usr/bin/env python3 | |
| # pylint: disable=invalid-name | |
| """Reads UMNSRS datasets where CUIs are used, add corresponding MeSHes to the | |
| CUIs""" | |
| from pathlib import Path | |
| import csv | |
| from tqdm import tqdm | |
| from BMET.uts_api_client import UtsClient |
| """ UTS (UMLS Terminology Services) API client """ | |
| import json | |
| from pathlib import Path | |
| import requests | |
| from lxml.html import fromstring | |
| class UtsClient: | |
| """All the UTS REST API requests are handled through this client""" | |
| def __init__(self, apikey=None): |
(Note. If you missed the "Python Primer" lab and you have no Python experience, please come to Jiho's office hours. We can do this together.)
Fibonacci numbers are defined recursively as below:
f(0) = 0, f(1) = 1
f(n) = f(n-1) + f(n-2)
Implement a fibonacci function fib(n), and use it to print out the Fibonacci numbers where n ranges from 0 to 9 such as:
