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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
DirtyF / README.md
Last active April 11, 2021 17:24
Setup Jekyll on macOS with brew and rbenv - See https://jekyllrb.com/docs/installation/macos/

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
wojteklu / clean_code.md
Last active November 19, 2024 09:32
Summary of 'Clean code' by Robert C. Martin

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

PostgreSQL Data Types AWS DMS Data Types Redshift Data Types
INTEGER INT4 INT4
SMALLINT INT2 INT2
BIGINT INT8 INT8
NUMERIC (p,s) If precision is 39 or greater, then use STRING. If the scale is => 0 and =< 37 then: NUMERIC (p,s) If the scale is => 38 and =< 127 then: VARCHAR (Length)
DECIMAL(P,S) If precision is 39 or greater, then use STRING. If the scale is => 0 and =< 37 then: NUMERIC (p,s) If the scale is => 38 and =< 127 then: VARCHAR (Length)
REAL REAL4 FLOAT4
DOUBLE REAL8 FLOAT8
SMALLSERIAL INT2 INT2
SERIAL INT4 INT4
import numpy as np
import scipy
import time
import matplotlib.pyplot as plt
print np.__file__
ax = plt.subplot(111)
@shmup
shmup / torrents.md
Last active November 16, 2024 18:34
transmission blocklist guide

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:

@erikbern
erikbern / marketing_mc.py
Last active January 15, 2021 00:50
MCMC for simple marketing data
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
jmindek / gist:62c50dd766556b7b16d6
Last active January 31, 2024 15:48
DISTINCT ON like functionality for Redshift

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
glamp / customer-segmentation.py
Last active April 30, 2020 13:40
Analysis for customer segmentation blog post
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()