Python proof-of-concept implementation of two geomapping algorithms
This code use the following packages:
<?php | |
if ( is_singular('product') ) { | |
global $post; | |
// get categories | |
$terms = wp_get_post_terms( $post->ID, 'product_cat' ); | |
foreach ( $terms as $term ) $cats_array[] = $term->term_id; |
# -*- coding: utf-8 -*- | |
""" | |
LICENSE: BSD (same as pandas) | |
example use of pandas with oracle mysql postgresql sqlite | |
- updated 9/18/2012 with better column name handling; couple of bug fixes. | |
- used ~20 times for various ETL jobs. Mostly MySQL, but some Oracle. | |
to do: | |
save/restore index (how to check table existence? just do select count(*)?), | |
finish odbc, |
#List unique values in a DataFrame column | |
pd.unique(df.column_name.ravel()) | |
#Convert Series datatype to numeric, getting rid of any non-numeric values | |
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True) | |
#Grab DataFrame rows where column has certain values | |
valuelist = ['value1', 'value2', 'value3'] | |
df = df[df.column.isin(value_list)] |
CREATE OR REPLACE FUNCTION generate_object_id() RETURNS varchar AS $$ | |
DECLARE | |
time_component bigint; | |
machine_id int := FLOOR(random() * 16777215); | |
process_id int; | |
seq_id bigint := FLOOR(random() * 16777215); | |
result varchar:= ''; | |
BEGIN | |
SELECT FLOOR(EXTRACT(EPOCH FROM clock_timestamp())) INTO time_component; | |
SELECT pg_backend_pid() INTO process_id; |
var boston_record = [ | |
['home', 'win'], | |
... | |
['away', 'loss'], | |
]; | |
d3.select('#second-wrapper-main') | |
.selectAll('div') | |
.data(boston_record) | |
.enter().append('div') |
#!/bin/sh | |
# | |
shopt -s nocaseglob | |
# parse basic commandline, equals-based arguments | |
# example: ./update_symbolic_links.sh -e=app -in=. | |
# example: ./update_symbolic_links.sh -e=app -in=/Users/username/Applications/ | |
for i in "$@" | |
do | |
case $i in | |
-e=*|--extension=*) |
#!/usr/bin/env python | |
import apscheduler.scheduler | |
import daemon.runner | |
import os.path | |
import sys | |
import time | |
class Core(): | |
def __init__(self): |
# -*- coding: utf-8 -*- | |
"""Example Google style docstrings. | |
This module demonstrates documentation as specified by the `Google Python | |
Style Guide`_. Docstrings may extend over multiple lines. Sections are created | |
with a section header and a colon followed by a block of indented text. | |
Example: | |
Examples can be given using either the ``Example`` or ``Examples`` | |
sections. Sections support any reStructuredText formatting, including |
My main development workstation is a Windows 10 machine, so we'll approach this from that viewpoint.
Recently, Google Chrome started giving me a warning when I open a site that uses https and self-signed certificate on my local development machine due to some SSL certificate issues like the one below: