logankilpatrick

# Generate Passwords in Julia
# Source: https://github.com/logankilpatrick/10-Julia-Projects-for-Beginners
using ProgressBars
using Random

# WARNING: Do not use this code to generate actual passwords!
function generate_passwords()
    num_passwords = parse(Int64, Base.prompt("How many passwords do you want to generate?"))
    password_length = parse(Int64, Base.prompt("How long should each password be?"))

logankilpatrick

# Rock 🗿, Paper 📃, Scissors ✂️ Game in Julia

function play_rock_paper_scissors()
    moves = ["🗿", "📃", "✂️"]
    computer_move = moves[rand(1:3)]

    # Base.prompt is similar to readline which we used before
    human_move = Base.prompt("Please enter 🗿, 📃, or ✂️")
    # Appends a ": " to the end of the line by default

logankilpatrick

# Computer Number Guessing Game in Julia
# Source: https://github.com/logankilpatrick/10-Julia-Projects-for-Beginners

using Random

function play_number_guess_computer()

    print("Please enter a number between 1 and 50 for the computer to try and guess: ")
    
    # Take in the user input and convert it to a number

logankilpatrick

# Number Guessing Game in Julia
# Source: https://github.com/logankilpatrick/10-Julia-Projects-for-Beginners

function play_number_guess_human()

    total_numbers = 25 # 

    # Generate a random number within a certain range
    target_number = rand(1:total_numbers)
    guess = 0

logankilpatrick

# Mad Libs in Julia
# Source: https://github.com/logankilpatrick/10-Julia-Projects-for-Beginners

function play_mad_libs()

    print("Enter a verb (action): ")
    verb1 = readline()

    print("Enter an adjective (descriptive word): ")
    adj1 = readline()

logankilpatrick

import os
import sys
import numpy as np
from tensorflow.keras import models, layers
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.datasets import mnist

# Change this to the location of the database directories
DB_DIR = os.path.dirname(os.path.realpath(__file__))

logankilpatrick

import os
import sys
import numpy as np
from tensorflow.keras import models, layers, callbacks
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.datasets import mnist

# Change this to the location of the database directories
DB_DIR = os.path.dirname(os.path.realpath(__file__))

logankilpatrick

import os
import sys
import numpy as np
from tensorflow.keras import models, layers, callbacks
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.datasets import mnist
from matplotlib import pyplot as plt

# Change this to the location of the database directories

logankilpatrick

import os
import sys
from typing import Counter
import tensorflow as tf
import numpy as np
from tensorflow.keras import models, layers, callbacks
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.datasets import mnist
from matplotlib import pyplot as plt

logankilpatrick

import os
import sys
import numpy as np
import tensorflow as tf
from tensorflow.keras import models, layers, callbacks
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.datasets import mnist

# Change this to the location of the database directories