cthoyt

# open up the file
with open("filepath") as f:
  
  # read the first line, this contains all of the header information
  # then, get rid of whitespace with strip, and split into an array on each tab
  header = f.readline().strip().split("\t")
  
  # only keep the important header columns (delete leftmost element)
  header = header[1:]
  

cthoyt

cthoyt

/* How many countries exist */
select count(*) as num_countries
from country;

/* Select the first 10 countries and order them by name */
select * 
from country
order by country.Name
limit 10;

cthoyt

cthoyt

#!/usr/bin/env python 
# Author: Charlie Hoyt

import itertools as itt

s = {
    ('A','A'): 5,
    ('A','R'): -2,
    ('A','N'): -1,
    ('A','D'): -2,

cthoyt

#!/usr/bin/env python3

from flask import Flask, request, make_response

from rdkit import Chem, rdBase
from rdkit.Chem import rdDepictor
from rdkit.Chem.Draw import rdMolDraw2D

app = Flask(__name__)

cthoyt

import numpy as np
import pandas as pd

# Represent different entities with these letters
letters = list("abcdefghjkmnopqrstuvwxyzABCDEFGHIJKLMN")
l = int(0.2 * np.square(len(letters)))

g = np.random.choice(letters, size=(l, 2))
n = np.random.uniform(size=l).round(3)

cthoyt

#! /usr/bin/env python3

"""

This script coalesces the results from running Fraunhofer FIT ZETA and
merges all of the output files from the evaluation task.

From the terminal, run something like:

`python3 coalesce_zeta_results.py -d ~/Desktop/HCA\ 2016\ Data/assay/resultPath -o ~/Desktop/coalesced.csv`

cthoyt

Keybase proof

I hereby claim:

• I am cthoyt on github.
• I am cthoyt (https://keybase.io/cthoyt) on keybase.
• I have a public key whose fingerprint is 91A7 A8AA B13B E6CE 6812 DD70 8FCE 28AC BC44 3133

To claim this, I am signing this object:

cthoyt

def parse_bertini_main_data(fl):
    """
    Parses main_data output from Bertini 1.5.1
    :param fl: file object for main_data
    :type f1: file-like object 
    :return: list of solutions
    """
    it = (line.strip() for line in fl)
    number_variables = next(it)
    solution_dimension = int(number_variables[21:])