Code Toolkit: Python, Fall 2021

Week 11 — Wednesday, November 10 — Class notes

Table of contents

(The following links jump down to the various topics in these notes.)

1. Data serialization
2. File input and output
3. JavaScript Object Notation (JSON)
4. JSON in Processing

Data serialization

Data serialization is a term for the process of converting variables and data structures into a kind of format that can be imported and exported from your code. It is called serialization because all the various variables and data that you might be using are serialized, which is to say, converted into a serial

File input and output

f = open("FILENAME")
file_contents = f.read()

f = open("FILENAME","r")

f = open("FILENAME","w")
f.write("Hello")

JavaScript Object Notation (JSON)

import json

s = "[ 10, 20, 30 ]"
json.loads(s)
print( len(s) )
    

JSON in Processing

import json

f = open("data/data.json","r")

file_contents = f.read()

print(file_contents)

data = json.loads(file_contents)

print(data)

def setup():
    size(800,800)

def draw():
    background(255)
    
    i = 0
    while i < len(data):
        d = data[i]
        fill( d["r"], d["g"], d["b"] )
        ellipse( d["x"], d["y"], 50,50 )
        i = i + 1

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