michaelxuan loveplay1983

Regular Expressions

Basic Syntax

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

MySQL

Getting started:

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

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.

	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()

	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

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