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Python Code Generator

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Example

Horror text game

Here's a simple Python code snippet for a horror text game:

python
import random  
  
def print_slow(text):  
    for char in text:  
        print(char, end='', flush=True)  
        time.sleep(0.05)  
    print()  
  
def game():  
    print_slow("You awake in a dimly lit room. It's eerily quiet, and a chilling breeze passes through the cracked window. The door is locked from the outside. What would you like to do?")  
      
    while True:  
        choice = input("1. Try to break the door down\n2. Look for another way out\n3. Investigate the room\n4. Scream for help\n\nEnter your choice: ")  
          
        if choice == '1':  
            print_slow("You exert all your strength, but the door won't budge. You're trapped!")  
        elif choice == '2':  
            print_slow("You search the room carefully and find a small vent. It seems like your only way out!")  
            break  
        elif choice == '3':  
            print_slow("As you investigate the room, you notice strange symbols carved into the walls. They send a shiver down your spine.")  
        elif choice == '4':  
            print_slow("You scream for help, but all you hear is your own voice echoing back at you. You're truly alone.")  
        else:  
            print_slow("Please enter a valid choice.")  
      
    print_slow("You crawl through the vent, hoping it will lead you to safety...")  
    # More game logic and story progression goes here  
  
game()  

This code sets up the initial scenario for the horror text game, where the player wakes up in a dimly lit room and has to make choices to navigate through the game. The print_slow function is used to print the text slowly, creating a more atmospheric effect. The player's choices are handled in a while loop, and different outcomes are printed based on the chosen option. The snippet ends with a message indicating the player's progression to the next part of the game.

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How to use the Python Code Generator

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  1. 01

    Create a free account

    It takes a few seconds. No credit card needed.

  2. 02

    Fill in a few details

    Tell the tool what you need. Short answers work fine.

    • What kind of Python code do you want to generate?
    • Python Framework (optional)
  3. 03

    Generate and edit

    Click Generate, then copy, edit or save the result.

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  • Snippets on Demand

    Describe what you need — parse this file, call this API, transform this data — and get working Python.

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    See idiomatic Python for the exact task you’re trying to learn.

  • Scripts and Automation

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Python Code examples. Real results, made with this tool.

  • INPUT

    Post request

    OUTPUT

    To send a POST request in Python, you can use the requests library. Here's an example code snippet that demonstrates how to make a POST request:

    python
    import requests  
      
    # Define the API endpoint and payload  
    url = '<API_ENDPOINT_URL>'  
    payload = {  
        'key1': 'value1',  
        'key2': 'value2'  
    }  
      
    # Send the POST request  
    response = requests.post(url, data=payload)  
      
    # Check the response status code  
    if response.status_code == 200:  
        print('POST request successful')  
    else:  
        print('POST request failed')  

    In the above code snippet, replace <API_ENDPOINT_URL> with the actual URL of the API endpoint you want to send the POST request to. Modify the payload dictionary to include the required data for your specific API.

    Note that the requests library needs to be installed for this code snippet to work. You can install it using pip:

    pip install requests  
    

    Remember to import the requests module at the beginning of your script.

  • INPUT

    API post request

    OUTPUT

    Here's an example of Python code to make a POST request to an API:

    python
    import requests  
      
    url = "https://api.example.com/endpoint"  
    payload = {  
        "key1": "value1",  
        "key2": "value2"  
    }  
    headers = {  
        "Content-Type": "application/json"  
    }  
      
    response = requests.post(url, json=payload, headers=headers)  
      
    if response.status_code == 200:  
        print("POST request successful")  
        print(response.json())  
    else:  
        print("Error:", response.status_code)  
        print(response.text)  

    In this example, the code uses the requests library to make the POST request. You should replace the url variable with the actual API endpoint URL you want to send the request to. The payload dictionary contains the data you want to send in the request body. Adjust it according to your API's requirements.

    The headers dictionary specifies the Content-Type as JSON, which is a common format for sending data in POST requests. Modify it if your API requires a different content type.

    After making the request, the code checks the response status code. If it's 200 (indicating a successful request), it prints the response content as JSON. Otherwise, it prints the error status code and response text.

    Remember to install the requests library if you haven't already by running pip install requests in your terminal or command prompt.

  • INPUT

    Flask API using python

    OUTPUT

    Here is a sample Python code snippet for creating a Flask API using Python:

    python
    from flask import Flask, jsonify  
      
    app = Flask(__name__)  
      
    @app.route('/')  
    def hello():  
        return jsonify(message='Hello, World!')  
      
    if __name__ == '__main__':  
        app.run()  

    This code snippet creates a basic Flask application with a single route that returns a JSON response with a "Hello, World!" message. You can customize this code snippet by adding more routes and functionality as needed. Remember to install the Flask library before running this code.

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  • What can it generate?

    Functions, scripts and utilities — file handling, APIs, data wrangling, automation — in clean, idiomatic Python.

  • Does it know libraries like pandas and requests?

    Yes — name the library or let it choose the standard tool for the task.

  • Is generated code safe to run?

    Read before running, test on sample data, and review anything touching files or networks — treat it as a competent first draft, not a trusted dependency.

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