Matt Shaffer planetceres

## retry.sh
# Retry a command up to a specific numer of times until it exits successfully,
# with exponential back off.
#
#  $ retry 5 echo Hello
#  Hello
#
#  $ retry 5 false
#  Retry 1/5 exited 1, retrying in 1 seconds...
#  Retry 2/5 exited 1, retrying in 2 seconds...
#  Retry 3/5 exited 1, retrying in 4 seconds...

## cuda.sh
#!/usr/bin/env bash

# Cuda and friends installation done right.
# Switch default Cuda version using symbolic link: cuda.switch 9.2
# Install Cuda: cuda.install.cuda 10.0
# Install cuDNN to CUDA_HOME: cuda.install.cudnn 7.5
# Install NCCL to CUDA_HOME: cuda.install.nccl 2.4
# Install Cuda, cuDNN and NCCL: cuda.install 10.0 7.5 2.4

# Author: Hadrien Mary <hadrien.mary@gmail.com>

## cuda_9.0_cudnn_7.0.sh
#!/bin/bash

# install CUDA Toolkit v9.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda-9-0

## notepad.html
data: text/html,
<html>
    <head>
        <title>Notepad</title>
        <link rel="icon" type="image/png" href="http://icons.iconarchive.com/icons/hopstarter/sleek-xp-software/256/Notepad-icon.png">
        <script src="http://code.jquery.com/jquery-2.0.3.min.js"></script>
        <script type="text/javascript">
            $(document).ready(function() {
                $('#text').bind('keyup', function() {
                    var content = $(this).val();

## Dockerfile
FROM osrf/ros:melodic-desktop-bionic

# setup catkin workspace
ENV CATKIN_WS=/root/catkin_ws
RUN mkdir -p $CATKIN_WS/src
WORKDIR $CATKIN_WS/src

# clone source code
RUN git clone -b melodic-devel https://github.com/ros-visualization/rviz

## gitcreate.sh
#!/bin/bash

# https://gist.github.com/robwierzbowski/5430952/
# Create and push to a new github repo from the command line.
# Grabs sensible defaults from the containing folder and `.gitconfig`.
# Refinements welcome.

# Gather constant vars
CURRENTDIR=${PWD##*/}
GITHUBUSER=$(git config github.user)

## cuda_installation_on_ubuntu_18.04
#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

## profile.py
import cProfile
import pstats
import my_slow_module
cProfile.run('my_slow_module.run()', 'restats')
p = pstats.Stats('restats')
p.sort_stats('cumulative').print_stats(30)

## cython_line_profiler.ipynb

      
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                planetceres
                / cython_line_profiler.ipynb
            
            
              Last active
              October 31, 2018 18:24
                — forked from tillahoffmann/cython_line_profiler.ipynb
            
              
                Demonstration of line-by-line profiling for `cython` functions.
              
          
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## useful_pandas_snippets.py
# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!
	# Retry a command up to a specific numer of times until it exits successfully,
	# with exponential back off.
	#
	# $ retry 5 echo Hello
	# Hello
	#
	# $ retry 5 false
	# Retry 1/5 exited 1, retrying in 1 seconds...
	# Retry 2/5 exited 1, retrying in 2 seconds...
	# Retry 3/5 exited 1, retrying in 4 seconds...
	#!/usr/bin/env bash

	# Cuda and friends installation done right.
	# Switch default Cuda version using symbolic link: cuda.switch 9.2
	# Install Cuda: cuda.install.cuda 10.0
	# Install cuDNN to CUDA_HOME: cuda.install.cudnn 7.5
	# Install NCCL to CUDA_HOME: cuda.install.nccl 2.4
	# Install Cuda, cuDNN and NCCL: cuda.install 10.0 7.5 2.4

	# Author: Hadrien Mary <hadrien.mary@gmail.com>
	#!/bin/bash

	# install CUDA Toolkit v9.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
	CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
	wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
	sudo apt-get update
	sudo apt-get -y install cuda-9-0
	data: text/html,
	<html>
	<head>
	<title>Notepad</title>
	<link rel="icon" type="image/png" href="http://icons.iconarchive.com/icons/hopstarter/sleek-xp-software/256/Notepad-icon.png">
	<script src="http://code.jquery.com/jquery-2.0.3.min.js"></script>
	<script type="text/javascript">
	$(document).ready(function() {
	$('#text').bind('keyup', function() {
	var content = $(this).val();
	FROM osrf/ros:melodic-desktop-bionic

	# setup catkin workspace
	ENV CATKIN_WS=/root/catkin_ws
	RUN mkdir -p $CATKIN_WS/src
	WORKDIR $CATKIN_WS/src

	# clone source code
	RUN git clone -b melodic-devel https://github.com/ros-visualization/rviz
	#!/bin/bash

	# https://gist.github.com/robwierzbowski/5430952/
	# Create and push to a new github repo from the command line.
	# Grabs sensible defaults from the containing folder and `.gitconfig`.
	# Refinements welcome.

	# Gather constant vars
	CURRENTDIR=${PWD##*/}
	GITHUBUSER=$(git config github.user)
	#!/bin/bash
	## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###
	import cProfile
	import pstats
	import my_slow_module
	cProfile.run('my_slow_module.run()', 'restats')
	p = pstats.Stats('restats')
	p.sort_stats('cumulative').print_stats(30)
	# List unique values in a DataFrame column
	# h/t @makmanalp for the updated syntax!
	df['Column Name'].unique()

	# Convert Series datatype to numeric (will error if column has non-numeric values)
	# h/t @makmanalp
	pd.to_numeric(df['Column Name'])

	# Convert Series datatype to numeric, changing non-numeric values to NaN
	# h/t @makmanalp for the updated syntax!