pedrovgp

# Upsert function for pandas to_sql with postgres
# https://stackoverflow.com/questions/1109061/insert-on-duplicate-update-in-postgresql/8702291#8702291
# https://www.postgresql.org/docs/devel/sql-insert.html#SQL-ON-CONFLICT
import pandas as pd
import sqlalchemy
import uuid
import os


def upsert_df(df: pd.DataFrame, table_name: str, engine: sqlalchemy.engine.Engine):

rithvikvibhu

MIT License

Copyright (c) 2020 Rithvik Vibhu

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

danieleggert

GPG and git on macOS

Setup

No need for homebrew or anything like that. Works with https://www.git-tower.com and the command line.

1. Install https://gpgtools.org -- I'd suggest to do a customized install and deselect GPGMail.
2. Create or import a key -- see below for https://keybase.io
3. Run gpg --list-secret-keys and look for sec, use the key ID for the next step
4. Configure git to use GPG -- replace the key with the one from gpg --list-secret-keys

keegoid

# A basic .muttrc for use with Gmail and GPG
set imap_user="###@gmail.com"
set imap_pass="###"
set smtp_url="smtp://###@[email protected]:587/"
set smtp_pass="###"
set from="###@gmail.com"
set realname="###"
set editor="vi"
set folder="imaps://imap.gmail.com:993"
set spoolfile="+INBOX"

jpmens

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# addnote.py by JP Mens (September 2015), inspired by Martin Schmitt
# Usage: addnote subject "body (may be empty") [image ...]
# Adds a Notes.app (OSX and iOS) compatible message to the "Notes"
# IMAP folder. The IMAP store is configured from a file called
# `creds':
#
#   [imap]
#   hostname = 

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

yasaichi

"""
以下の論文で提案された改良x-means法の実装

クラスター数を自動決定するk-meansアルゴリズムの拡張について
http://www.rd.dnc.ac.jp/~tunenori/doc/xmeans_euc.pdf
"""

import numpy as np
from scipy import stats
from sklearn.cluster import KMeans

ctford

(ns universe.core
  (:require [om.core :as om :include-macros true]
            [om.dom :as dom :include-macros true]))

(def app-state (atom {:text "Hello Boids"
                      :birds (map vector
                                  (repeatedly 20 #(rand-int 1000))
                                  (repeatedly 20 #(rand-int 1000)))}))

(defn make-bird [[x y]]

dpapathanasiou

SchemaSpy is a neat tool to produce visual diagrams for most relational databases.

Here's how to use it to generate schema relationship diagrams for PostgreSQL databases:

1. Download the jar file from here (the current version is v6.1.0)

2. Get the PostgreSQL JDBC driver (unless your installed version of java is really old, use the latest JDBC4 jar file)

3. Run the command against an existing database. For most databases, the schema (-s option) we are interested in is the public one:

nicolasembleton

#!/bin/bash

sudo kextunload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport
sudo kextload -b com.apple.iokit.BroadcomBluetoothHostControllerUSBTransport