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mscandizzo / 00_cqf_ml_elective.md
Created January 15, 2019 11:24 — forked from yhilpisch/00_cqf_ml_elective.md
Machine Learning for Finance | Dr. Yves J. Hilpisch | CQF Elective | London, 23. May 2017

Machine Learning for Finance

A CQF elective with Dr. Yves J. Hilpisch, The Python Quants GmbH

General resources:

SQL to MongoDB Mapping Chart

SQL to MongoDB Mapping Chart

In addition to the charts that follow, you might want to consider the Frequently Asked Questions section for a selection of common questions about MongoDB.

Executables

The following table presents the MySQL/Oracle executables and the corresponding MongoDB executables.

def drinks():
from collections import defaultdict
import random
questions = {
"strong": "Do you like your drinks strong?",
"salty": "Do you like it with a salty tang?",
"bitter": "Are ye a lubber who likes it bitter?",
"sweet": "Would ye like a bit of sweetness with yer poison?",
@mscandizzo
mscandizzo / gist:5f802175e1472f14e427
Last active March 16, 2016 13:43
FizzBuzz updated
lists = []
while True:
try:
val = int(raw_input("Please enter range upper boundary:"))
break
except:
print "I guess you did not enter a number, please try again"
continue
lists = []
for n in range(1,int(raw_input())):
if n % 3 == 0 and n % 5 == 0:
lists.append("FizzBuzz")
elif n % 3 == 0:
lists.append("Fizz")
elif n % 5 == 0:
lists.append("Buzz")
else: