Pranjal Tandon pranz24

Stacked and Grouped Bar Plot

Oddly enough ggplot2 has no support for a stacked and grouped (position="dodge") bar plot. The seaborn python package, although excellent, also does not provide an alternative. However, I knew it was surely possible to make such a plot in regular matplotlib. Matplotlib, although sometimes clunky, gives you enough flexibility to precisely place plotting elements which is needed for a stacked and grouped bar plot.

Below is a working example of making a stacked and grouped bar plot.

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np

Snap SVG cheat sheet
Append, prepend

sudo apt-get install autoconf automake libtool curl make g++ unzip -y
git clone https://github.com/google/protobuf.git
cd protobuf
git submodule update --init --recursive
./autogen.sh
make
make check
sudo make install
sudo ldconfig

Here's a list of mildly interesting things about the C language that I learned mostly by consuming Clang's ASTs. Although surprises are getting sparser, I might continue to update this document over time.

There are many more mildly interesting features of C++, but the language is literally known for being weird, whereas C is usually considered smaller and simpler, so this is (almost) only about C.

1. Combined type and variable/field declaration, inside a struct scope [https://godbolt.org/g/Rh94Go]

struct foo {
   struct bar {
 int x;

	#include <stdio.h>

	#include <sqlite3.h>

	int main(void)
	{
	sqlite3 *db;
	sqlite3_stmt *stmt;

	sqlite3_open("expenses.db", &db);

	KEY=XXXXXXXXXXXX
	HOST="https://metrics.crisidev.org"

	mkdir -p dashboards && for dash in $(curl -k -H "Authorization: Bearer $KEY" $HOST/api/search\?query\=\& \|tr ']' '\n' \|cut -d "," -f 5 \|grep slug \|cut -d\" -f 4); do
	curl -k -H "Authorization: Bearer $KEY" $HOST/api/dashboards/db/$dash > dashboards/$dash.json
	done

	# Path to your oh-my-zsh installation.
	export ZSH=/Users/dimitar.danailov/.oh-my-zsh

	# Set name of the theme to load.
	# Look in ~/.oh-my-zsh/themes/
	# Optionally, if you set this to "random", it'll load a random theme each
	# time that oh-my-zsh is loaded.
	# ZSH_THEME="robbyrussell"
	ZSH_THEME="agnoster"

	"""
	A bare bones examples of optimizing a black-box function (f) using
	Natural Evolution Strategies (NES), where the parameter distribution is a
	gaussian of fixed standard deviation.
	"""

	import numpy as np
	np.random.seed(0)

	# the function we want to optimize