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Snake Game using Turtle in Python ✅ Source Code 👇👇

# import required modules
import turtle
import time
import random

delay = 0.1
score = 0
high_score = 0


# Creating a window screen
wn = turtle.Screen()
wn.title("Snake Game")
wn.bgcolor("blue")
# the width and height can be put as user's choice
wn.setup(width=600, height=600)
wn.tracer(0)

# head of the snake
head = turtle.Turtle()
head.shape("square")
head.color("white")
head.penup()
head.goto(0, 0)
head.direction = "Stop"

# food in the game
food = turtle.Turtle()
colors = random.choice(['red', 'green', 'black'])
shapes = random.choice(['square', 'triangle', 'circle'])
food.speed(0)
food.shape(shapes)
food.color(colors)
food.penup()
food.goto(0, 100)

pen = turtle.Turtle()
pen.speed(0)
pen.shape("square")
pen.color("white")
pen.penup()
pen.hideturtle()
pen.goto(0, 250)
pen.write("Score : 0  High Score : 0", align="center",
          font=("candara", 24, "bold"))


# assigning key directions
def group():
    if head.direction != "down":
        head.direction = "up"


def godown():
    if head.direction != "up":
        head.direction = "down"


def goleft():
    if head.direction != "right":
        head.direction = "left"


def goright():
    if head.direction != "left":
        head.direction = "right"


def move():
    if head.direction == "up":
        y = head.ycor()
        head.sety(y+20)
    if head.direction == "down":
        y = head.ycor()
        head.sety(y-20)
    if head.direction == "left":
        x = head.xcor()
        head.setx(x-20)
    if head.direction == "right":
        x = head.xcor()
        head.setx(x+20)


wn.listen()
wn.onkeypress(group, "w")
wn.onkeypress(godown, "s")
wn.onkeypress(goleft, "a")
wn.onkeypress(goright, "d")

segments = []


# Main Gameplay
while True:
    wn.update()
    if head.xcor() > 290 or head.xcor() < -290 or head.ycor() > 290 or head.ycor() < -290:
        time.sleep(1)
        head.goto(0, 0)
        head.direction = "Stop"
        colors = random.choice(['red', 'blue', 'green'])
        shapes = random.choice(['square', 'circle'])
        for segment in segments:
            segment.goto(1000, 1000)
        segments.clear()
        score = 0
        delay = 0.1
        pen.clear()
        pen.write("Score : {} High Score : {} ".format(
            score, high_score), align="center", font=("candara", 24, "bold"))
    if head.distance(food) < 20:
        x = random.randint(-270, 270)
        y = random.randint(-270, 270)
        food.goto(x, y)

        # Adding segment
        new_segment = turtle.Turtle()
        new_segment.speed(0)
        new_segment.shape("square")
        new_segment.color("orange")  # tail colour
        new_segment.penup()
        segments.append(new_segment)
        delay -= 0.001
        score += 10
        if score > high_score:
            high_score = score
        pen.clear()
        pen.write("Score : {} High Score : {} ".format(
            score, high_score), align="center", font=("candara", 24, "bold"))
    # Checking for head collisions with body segments
    for index in range(len(segments)-1, 0, -1):
        x = segments[index-1].xcor()
        y = segments[index-1].ycor()
        segments[index].goto(x, y)
    if len(segments) > 0:
        x = head.xcor()
        y = head.ycor()
        segments[0].goto(x, y)
    move()
    for segment in segments:
        if segment.distance(head) < 20:
            time.sleep(1)
            head.goto(0, 0)
            head.direction = "stop"
            colors = random.choice(['red', 'blue', 'green'])
            shapes = random.choice(['square', 'circle'])
            for segment in segments:
                segment.goto(1000, 1000)
            segments.clear()

            score = 0
            delay = 0.1
            pen.clear()
            pen.write("Score : {} High Score : {} ".format(
                score, high_score), align="center", font=("candara", 24, "bold"))
    time.sleep(delay)

wn.mainloop()

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check it out to check salary of developers in any companies. ☝️

Snake game 🎯

Python Notes will be uploaded tomorrow, make sure to Join this Channel.

Python notes ☝️☝️

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression

# Sample training data (manually added)
texts = [
"NASA finds water on Mars",
"Apple launches new iPhone with AI",
"Aliens have landed in Delhi",
"Government bans all smartphones",
"COVID-19 vaccine approved worldwide",
"World ends tomorrow",
"Elon Musk buys the Moon",
"UN announces global peace treaty",
]
labels = ["REAL", "REAL", "FAKE", "FAKE", "REAL", "FAKE", "FAKE", "REAL"]

# Step 1: Preprocess
vectorizer = TfidfVectorizer()
X = vectorizer.fit_transform(texts)

# Step 2: Train model
model = LogisticRegression()
model.fit(X, labels)

# Step 3: Take input and predict
headline = input("📰 Enter a news headline: ")
headline_vec = vectorizer.transform([headline])
prediction = model.predict(headline_vec)

print(" This news is:", "FAKE " if prediction[0] == "FAKE" else "REAL ")

Fake News Detector ☝️

from instabot import Bot

bot = Bot()

#Login
bot.login(username="your_username", password="your_password")
#Don't use your main account because it might get affected!
#Create a demo account for test purpose!

#Follow a user
bot.follow("elonmusk")

#comment
bot.comment("coding","Great content!")

#send DM to someone
bot.send_message("Hey! Big fan",["python.science","only_programming"])

Instagram Bot

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY")

messages = [
{"role": "system", "content": "You are an intelligent assistant."}
]

while True:
message = input("User : ")
if message:
messages.append({"role": "user", "content": message})

chat = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=messages
)

reply = chat.choices[0].message.content
print(f"ChatGPT: {reply}")

messages.append({"role": "assistant", "content": reply})

Chatbot using python