tejainece

#!/usr/bin/env python
#
# Mersenne Twister predictor
#
# Feed this program the output of any 32-bit MT19937 Mersenne Twister and
# after seeing 624 values it will correctly predict the rest.
#
# The values may come from any point in the sequence -- the program does not
# need to see the first 624 values, just *any* 624 consecutive values.  The
# seed used is also irrelevant, and it will work even if the generator was

tejainece

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

tejainece

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

• -E: will describe the underlaying queries of the \ commands (cool for learning!)
• -l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

tejainece

Postgres Cheat Sheet
Source: Postgresql Documentation

### shell commands
	
	creatuser <user>
	deletesuer <user>
	createdb -O <user> -E utf8 -T <template> <db_name>
	dropdb <db_name>

tejainece

import numpy as np
from lightning.classification import SAGAClassifier
from scipy import sparse

from sklearn.datasets import load_iris, make_classification
from sklearn.linear_model.logistic import (
    LogisticRegression,
)

tejainece

#!/usr/bin/env bash

# obtains all data tables from database
TS=`sqlite3 $1 "SELECT tbl_name FROM sqlite_master WHERE type='table' and tbl_name not like 'sqlite_%';"`

# exports each table to csv
for T in $TS; do

sqlite3 $1 <<!
.headers on