from IPython.core.display import HTML; set_custom_css = lambda: HTML('<style>:root {--light-pink: #ffccdd; --medium-pink: #ff66b3; --dark-pink: #ff3385; --accent-pink: #ff99cc; --background-pink: #ffe6f0;} body {background-color: var(--background-pink) !important; color: var(--dark-pink) !important;} article {background-color: var(--light-pink) !important; color: var(--dark-pink) !important; border: 2px solid var(--medium-pink) !important; padding: 20px !important; border-radius: 8px !important;} a {color: var(--accent-pink) !important;} a:hover {color: var(--dark-pink) !important;} h1, h2, h3, h4 {color: white !important;} blockquote {background-color: #272726 !important; border-left: 4px solid var(--medium-pink) !important; color: var(--dark-pink) !important; padding: 10px 20px !important; margin: 10px 0 !important; border-radius: 4px !important;} code {background-color: var(--accent-pink) !important; color: white !important; padding: 2px 4px !important; border-radius: 4px !important;} .site-nav {background-color: var(--medium-pink) !important;} table td {background-color: var(--dark-pink) !important;}</style>'); set_custom_css()
3.2.1 3.2.2 3.2.3

Using JSON

JSON = JavaScript Object Notation. Similar (almost the same) as a dict. Used to store and transfer data easily, this is the form of data transferred in most APIs (99.99999%)

Python to JSON

import json # make sure to import this or it will break ur code

# dict
mercedes_clr_gtr = {
    "name": "Mercedes CLR GTR",
    "performance": {
        "engine": "6.0-liter V12",
        "horsepower": 600,
        "acceleration": "0 to 100 km/h in 3.7 seconds",
        "top_speed": "over 320 km/h"
    },
    "features": {
        "aerodynamics": "advanced",
        "stability_technologies": "cutting-edge",
        "stability_control": "exceptional during high-speed maneuvers"
    },
    "pricing": {
        "original_price": "$1.5 million",
        "production_run": 5,
        "rarity": "highly sought after by racing enthusiasts and collectors"
    }
}

# as you can see, you can mix and match different data types such as strings, int/floats, bools, dicts, lists, etc

jsonstring = json.dumps(mercedes_clr_gtr) 

print(jsonstring)

{"name": "Mercedes CLR GTR", "performance": {"engine": "6.0-liter V12", "horsepower": 600, "acceleration": "0 to 100 km/h in 3.7 seconds", "top_speed": "over 320 km/h"}, "features": {"aerodynamics": "advanced", "stability_technologies": "cutting-edge", "stability_control": "exceptional during high-speed maneuvers"}, "pricing": {"original_price": "$1.5 million", "production_run": 5, "rarity": "highly sought after by racing enthusiasts and collectors"}}

Popcorn Hack!

Make your own example using dict with a car (you can search up its specs)

Formatting

import json

porsche_911 = {
    "name": "Porsche 911",
    "performance": {
        "engine": "3.0-liter twin-turbo flat-six",
        "horsepower": 379,
        "acceleration": "0 to 100 km/h in 4.2 seconds",
        "top_speed": "291 km/h"
    },
    "features": {
        "driving_assistance": "adaptive cruise control",
        "exterior": "iconic design",
        "interior": "premium materials"
    },
    "pricing": {
        "original_price": "$101,200",
        "production_run": "ongoing",
        "rarity": "exclusive"
    }
}

# Example 1: Default formatting
json_string_1 = json.dumps(porsche_911)
print("Example 1:\n", json_string_1)

# Example 2: Pretty-printing with 2 spaces indentation
json_string_2 = json.dumps(porsche_911, indent=2)
print("\nExample 2:\n", json_string_2)

# Example 3: Pretty-printing with no spaces between keys and values
json_string_3 = json.dumps(porsche_911, indent=4, separators=(',', ': '))
print("\nExample 3:\n", json_string_3)


Example 1:
 {"name": "Porsche 911", "performance": {"engine": "3.0-liter twin-turbo flat-six", "horsepower": 379, "acceleration": "0 to 100 km/h in 4.2 seconds", "top_speed": "291 km/h"}, "features": {"driving_assistance": "adaptive cruise control", "exterior": "iconic design", "interior": "premium materials"}, "pricing": {"original_price": "$101,200", "production_run": "ongoing", "rarity": "exclusive"}}

Example 2:
 {
  "name": "Porsche 911",
  "performance": {
    "engine": "3.0-liter twin-turbo flat-six",
    "horsepower": 379,
    "acceleration": "0 to 100 km/h in 4.2 seconds",
    "top_speed": "291 km/h"
  },
  "features": {
    "driving_assistance": "adaptive cruise control",
    "exterior": "iconic design",
    "interior": "premium materials"
  },
  "pricing": {
    "original_price": "$101,200",
    "production_run": "ongoing",
    "rarity": "exclusive"
  }
}

Example 3:
 {
    "name": "Porsche 911",
    "performance": {
        "engine": "3.0-liter twin-turbo flat-six",
        "horsepower": 379,
        "acceleration": "0 to 100 km/h in 4.2 seconds",
        "top_speed": "291 km/h"
    },
    "features": {
        "driving_assistance": "adaptive cruise control",
        "exterior": "iconic design",
        "interior": "premium materials"
    },
    "pricing": {
        "original_price": "$101,200",
        "production_run": "ongoing",
        "rarity": "exclusive"
    }
}

JSON to Python

import json

x =  '{ "name":"John", "age":30, "city":"New York"}' # mr morts example json (im too lazy to come up with something original the mercedes clr gtr took waay to much time)

y = json.loads(x) # js equivalent is JSON.parse()

print(y) # returns a dict
print(y["age"])

{'name': 'John', 'age': 30, 'city': 'New York'}
30

Assignment!

Create code that does the following

  • Uses a dictionary
  • Contains at least 3 different types of variables in the dict, one of which must be a list
  • Changes keys in the dict, including a key in the list
  • Converts the dict to JSON

Extra Credit: do some kind of math in your code to change a key

Ideas: some recipe thing.

Here’s Nolan’s example:

import json # make sure to skibidi import

possesions = {
    "owner": "Lil Bro",
    "dollars": 50,
    "food": [
        "apps",
        "pizza",
        "banana"
    ]
}

print(possesions)
# bob the minion eats part of the banana
possesions["food"][2] = "half-eaten banana"
print(possesions["food"])
# fanum tax
possesions["dollars"] = possesions["dollars"] / 2
print(possesions["dollars"]) # notice that it changes to a float

# json
print(json.dumps(possesions))

{'owner': 'Lil Bro', 'dollars': 50, 'food': ['apps', 'pizza', 'banana']}
['apps', 'pizza', 'half-eaten banana']
25.0
{"owner": "Lil Bro", "dollars": 25.0, "food": ["apps", "pizza", "half-eaten banana"]}