tsileo

# encoding: utf-8
import os
import shelve
import boto.glacier
import boto
from boto.glacier.exceptions import UnexpectedHTTPResponseError

ACCESS_KEY_ID = "XXXXXXXXXXXXX"
SECRET_ACCESS_KEY = "XXXXXXXXXXX"
SHELVE_FILE = os.path.expanduser("~/.glaciervault.db")

interrogator

#!/usr/bin/env python

"""
Utility to generate a first-line support message for a user who has submitted a roundup issue.

To only ever be one-file to discourage feature creep for a small utility.

The only main extensions I'd really consider are automatically posting this message to roundup,
but I don't think this is a good idea, as you may need to generate a couple of messages till
an appropriate one is generated

philshem

dannguyen

How to use xsv (in Windows) to split up a CSV file too big for Excel

I wrote these instructions on how to install and use xsv – a powerful CSV-handling command-line tool, because someone asked how to deal with a data file that was too big to open in Excel or even Notepad. I didn't know how familiar the person was with installing/running downloadable .exe files or with Powershell, so I've tried to include some general instructions that hopefully are useful to even novices.

This mini-guide is not at all meant to be exhaustive as it basically shows just one of xsv's many useful functions. But if you're new to the idea of using command-line tools to do things, hopefully this can be a friendly intro to it.

---

Here's an example of a CSV that, at 3 million rows, is too big for Excel to open: https://burntsushi.net/stuff/worldcitiespop.csv

deparkes

import gpxpy
import gpxpy.gpx
import folium

gpx_file = open('path_to_gpx_file.gpx', 'r')

gpx = gpxpy.parse(gpx_file)
points = []
for track in gpx.tracks:
    for segment in track.segments:        

larsmans

#!/usr/bin/python
#
# K-means clustering using Lloyd's algorithm in pure Python.
# Written by Lars Buitinck. This code is in the public domain.
#
# The main program runs the clustering algorithm on a bunch of text documents
# specified as command-line arguments. These documents are first converted to
# sparse vectors, represented as lists of (index, value) pairs.

from collections import defaultdict

ymirpl

#coding: utf-8
from cStringIO import StringIO
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.header import Header
from email import Charset
from email.generator import Generator
import smtplib
 
# Example address data

aagarw30

library(shiny)

ui <- fluidPage(
  # Upload zip files
  fileInput("file", "Upload Zip file", accept = ".zip"),
  # action button to unzip the file
  actionButton("unzip", "Unzip Files"),
  
  # to display the metadata of the zipped file
  tableOutput("filedf"),

l3nz

accountsd using 400% CPU on MacOS Catalina 10.15.7 (19H2)

TL;DR: Still open - see below.

This morning I woke up to some not-so-nice surprise - my 2018 MPB 13" would be kind of totally unusable. The accountsd process was stable at 400%, battery was going like ice-cream in the Sahara, and opening up LibreOffice was like a major achievement.

I did check the logs (that were growing at like 500 lines per second) and I saw a lot of lines at FAULT level:

fault 07:54:04.271342+0200 accountsd Unentitled access by client 'CallHistoryPlugi' (selector: accountsWithAccountType:handler:)

remarkablemark

How to add an image to a gist

1. Create or find a gist that you own.
2. Clone your gist (replace <hash> with your gist's hash):

   # with ssh
   git clone git@gist.github.com:<hash>.git mygist
   
   # with https

git clone https://gist.github.com/.git mygist