krishnadey30

Array

• Two Sum
• Best Time to Buy and Sell Stock
• Contains Duplicate
• Product of Array Except Self
• Maximum Subarray
• Maximum Product Subarray
• Find Minimum in Rotated Sorted Array

aunyks

import hashlib as hasher
import datetime as date

# Define what a Snakecoin block is
class Block:
  def __init__(self, index, timestamp, data, previous_hash):
    self.index = index
    self.timestamp = timestamp
    self.data = data
    self.previous_hash = previous_hash

DirtyF

First, make sure you have command line tools installed:

xcode-select --install

Then open Terminal.app and type:

curl https://gist.githubusercontent.com/DirtyF/5d2bde5c682101b7b5d90708ad333bf3/raw/fbc736fa1b50bd637929a315e6803df306c8bc8e/setup-rbenv.sh | bash

wojteklu

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

---

General rules

1. Follow standard conventions.
2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
3. Boy scout rule. Leave the campground cleaner than you found it.
4. Always find root cause. Always look for the root cause of a problem.

Design rules

wrobstory

DanHickstein

import numpy as np
import scipy
import time
import matplotlib.pyplot as plt

print np.__file__


ax = plt.subplot(111)

shmup

Transmission Blocklist

The Transmission torrent client has an option to set a Blocklist, which helps protect you from getting caught and having the DMCA send a letter/email.

It's as simple as downloading and installing the latest client:

• https://transmissionbt.com/download/

erikbern

import pymc, pymc.graph
import matplotlib.pyplot as plt
import numpy as np
import sys

channels = [
    ('A', 2292.04, 9),
    ('B', 1276.85, 2),
    ('C', 139.59, 3),
    ('D', 954.98, 5)

jmindek

distinct column -> For each row returned, return only the unique members of a set. Think of it as for each row in a projection, concatenate all the column values and return only the strings that are unique.

test_db=# SELECT DISTINCT parent_id, child_id, id FROM test.foo_table ORDER BY parent_id, child_id, id LIMIT 10;
parent_id | child_id | id
-----------+------------+-----------------------------
1000040 | 103 | 1000040|2645405726|0001|103

glamp

import pandas as pd
# http://blog.yhathq.com/static/misc/data/WineKMC.xlsx
df_offers = pd.read_excel("./WineKMC.xlsx", sheetname=0)
df_offers.columns = ["offer_id", "campaign", "varietal", "min_qty", "discount", "origin", "past_peak"]
df_offers.head()

df_transactions = pd.read_excel("./WineKMC.xlsx", sheetname=1)
df_transactions.columns = ["customer_name", "offer_id"]
df_transactions['n'] = 1
df_transactions.head()