simecek

simecek

import __main__
import pickle
from bz2 import BZ2File
from gzip import GzipFile
from typing import Optional, List


def save_env(path: str, objects: Optional[List[str]] = None, compress: str = 'gzip', protocol: int = -1):
    """
    Save the environment (list of objects) of Jupyter Notebook into a compressed file

simecek

simecek

simecek

s = 'Python is awesome!'
red = "#FA5882"
a = eval("exec('import sys; import matplotlib.pyplot as plt; import numpy as np; print(s); t = np.arange(0,2*np.pi, 0.1); x = 16*np.sin(t)**3; y = 13*np.cos(t)-5*np.cos(2*t)-2*np.cos(3*t)-np.cos(4*t); plt.fill(x,y,color=red); plt.show(); sys.exit()')")
print('R is great too!')
X11()  # Use windows() or qartz() if on Windows or Mac
t = seq(0, 2*pi, by=0.1)
x = 16*sin(t)^3
y = 13*cos(t) - 5*cos(2*t) - 2*cos(3*t) - cos(4*t)
plot(x=x, y=y, type="n", xlab="", ylab="")
polygon(x=x, y=y, col=red, border=red)

simecek

simecek

simecek

# Likes per tweet plot
# Analyze user's data downloaded from Twitter

library(jsonlite)
library(tidyverse)

# download your data from Twitter (Settings and Privacy, Your Twitter data), unzip the folder
setwd("~/Downloads/twitter-2018-10-29-6c18f5c0ab3605451f73cd0fd9ed186a2fd5b2caf1812ab747d42351da805656/")

json <- readLines("tweet.js")

simecek

simecek

if (!require(tidyverse)) {
  install.packages("tidyverse")
  library(tidyverse)
}  

# Game of Life visualisation
draw_board <- function(board) {
  
  # number of rows and columns
  M = nrow(board)