The top n questions data scientists ask
Data science doesn’t start with data, it starts with a problem…
The pipeline model is useful, but data scientists progress via a series of questions - what are those questions?
import os | |
import sqlite3 | |
def create_tables(conn): | |
conn.execute("CREATE TABLE contacts (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, email TEXT)") | |
conn.commit() | |
def connect(path="contacts.db", syncdb=False): | |
""" | |
Connects to the database and ensures there are tables. |
import os | |
import sqlite3 | |
def create_tables(conn): | |
conn.execute("CREATE TABLE contacts (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, email TEXT)") | |
conn.commit() | |
def connect(path="contacts.db", syncdb=False): | |
""" | |
Connects to the database and ensures there are tables. |
#!/usr/bin/env python | |
########################################################################## | |
## Imports | |
########################################################################## | |
import sys | |
import argparse | |
import traceback | |
import numpy as np |