loveplay1983

import os
import random

deck = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]*4

def deal(deck):
    hand = []
    for i in range(2):
	    random.shuffle(deck)
	    card = deck.pop()

loveplay1983

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.svm import SVC

h = .02  # step size in the mesh

loveplay1983

Regular Expressions

Basic Syntax

• /.../: Start and end regex delimiters
• |: Alternation
• (): Grouping

loveplay1983

test

loveplay1983

MySQL

Getting started:

• http://www.sqlteaching.com/
• https://www.codecademy.com/courses/learn-sql

Related tutorials:

• MySQL-CLI
• Analyzing Business Metrics

loveplay1983

###################
# compiled source #
###################
*.com
*.class
*.dll
*.exe
*.pdb
*.dll.config
*.cache

loveplay1983

Flatten a dictionary

  In [1]: k = {'name': 'Og Maciel', 'age': 40, 'mansions': '', 'kids': 3}
  In [2]: ' '.join("--{!s}={!r}".format(key,val) for (key,val) in k.iteritems())
  "--age=40 --kids=3 --name='Og Maciel' --mansions=''"

Run Unittest TestCase from IPython

loveplay1983

C++ Coding Standards Part 0: Automated Code Analysis

Automated analysis is the main advantage to working with a modern statically typed compiled language like C++. Code analysis tools can inform us when we have implemented an operator overload with a non-canonical form, when we should have made a method const, or when the scope of a variable can be reduced.

In short, these tools catch the most commonly agreed best practice mistakes we are making and help educate us to write better code. We will be fully utilizing these tools.

Compilers

All reasonable warning levels should be enabled. Some warning levels, such as GCC's -Weffc++ warning mode can be too noisy and will not be recommended for normal compilation.