ahl

use std::fs::File;
use std::path::Path;
use std::io::BufReader;
use std::io::BufRead;
use std::collections::HashMap;
use std::io::stdin;

fn sort_str(s: &String) -> String {
	let mut v: Vec<char> = s.chars().collect();
	v.sort();

jarrettmeyer

#!/usr/bin/env python

"""
Insert data into HBase with a Python script.

To create the table, first use the hbase shell. We are going to create a
namespace called "sample_data". The table for this script is called "rfic",
as we will be inserting Request for Information Cases from the City of
Indianapolis.

adamgreig

Embedded Rust on STM32F4

My notes from implementing Job Vranish's excellent guide.

Follow along with the guide above, getting rustc from rustup or similar:

rustc 1.0.0-nightly (dcaeb6aa2 2015-01-18 11:28:53 +0000)
binary: rustc
commit-hash: dcaeb6aa23ecba2dc2af870668a9239136d20fa3

commit-date: 2015-01-18 11:28:53 +0000

lonsun

function git_clean_branches
  set base_branch develop

  # work from our base branch
  git checkout $base_branch

  # remove local tracking branches where the remote branch is gone
  git fetch -p

  # find all local branches that have been merged into the base branch

audreyfeldroy

• Update HISTORY.md
• Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

• Update version number (can also be minor or major)

bumpversion patch

ramalho

#!/usr/bin/env python3

# Copyright 2014 Brett Slatkin, Pearson Education Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

lukehorvat

let map = new Map();
map.set("a", 1);
map.set("b", 2);
map.set("c", 3);

let obj = Array.from(map).reduce((obj, [key, value]) => (
  Object.assign(obj, { [key]: value }) // Be careful! Maps can have non-String keys; object literals can't.
), {});

console.log(obj); // => { a: 1, b: 2, c: 3 }

toolness

Adventures in Python Core Dumping

After watching Bryan Cantrill's presentation on [Running Aground: Debugging Docker in Production][aground] I got all excited (and strangely nostalgic) about the possibility of core-dumping server-side Python apps whenever they go awry. This would theoretically allow me to fully inspect the state of the program at the point it exploded, rather than relying solely on the information of a stack trace.

joshwcomeau

function findBreakoutElem(rootElem = document.body) {
  function checkElemWidth(elem) {
    if (elem.clientWidth > window.outerWidth) {
      console.log("The following element has a larger width than the window's outer width");
      console.log(elem);
      console.log('<-------------------------------------------------------------------->');
    } else if (elem.scrollWidth > window.outerWidth) {
      console.log("The following element has a larger width than the window's scroll width");
      console.log(elem);
      console.log('<-------------------------------------------------------------------->');

ctokheim

Cython

Cython has two major benefits:

1. Making python code faster, particularly things that can't be done in scipy/numpy
2. Wrapping/interfacing with C/C++ code

Cython gains most of it's benefit from statically typing arguments. However, statically typing is not required, in fact, regular python code is valid cython (but don't expect much of a speed up). By incrementally adding more type information, the code can speed up by several factors. This gist just provides a very basic usage of cython.