guillaume-chevalier

# This script will create a venv under as a `./venv` folder, and it will name it `my_new_venv_nickname_in_the_jupyter_menu` in jupyter's kernel list to choose the venv.

# You can edit the `./venv` path here to change it:
python3 -m venv ./venv
source ./venv/bin/activate
pip install --upgrade pip
pip install setuptools wheel
pip install ipykernel
# You can change the `my_new_venv_nickname_in_the_jupyter_menu` name in menu here: 
ipython kernel install --user --name=my_new_venv_nickname_in_the_jupyter_menu

guillaume-chevalier

# Example output: 
# .-'¯    _,.-'¯    _,.-'¯    _,.-'¯    _,.-'¯    | your message here |.,_    ¯'-.,_    ¯'-.,_    ¯'-.,_    ¯'-.,_    ¯
# The things next to the message are animated and moving. 

import time
import sys
import os


def wait():

guillaume-chevalier

import numpy as np
import matplotlib.pyplot as plt

import math


b = 8
a = 2**b

x = np.array([[math.cos(0.5**i*x*2*math.pi) for x in range(0, a)] for i in range(1, b+1)])

guillaume-chevalier

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

guillaume-chevalier

"""Simple second order optimization with TensorFlow."""


import tensorflow as tf


####
# 1. Define the problem