PromptBase
Close icon
Explore
General
Home
Marketplace
Apps
Create
Login
Sell
πŸ¦™ Llama

Python Code Snippets For All Levels

Python Code Snippets For All Levels llama prompt mini thumbnail
30Eye icon
Views
TestedTick icon
TipsTick icon
4 examplesTick icon
πŸš€ Unlock Python Mastery! Whether you're a beginner or an expert, this prompt generates Python code snippets tailored to your needs! From web development to data analysis, automation to machine learning, you'll get clean, efficient, and well-commented code. Perfect for anyone looking to boost productivity and skills with Python, covering both simple and advanced techniques. Ready to code like a pro? πŸπŸ’»
...more
$4.99
Get prompt
After purchasing, you will gain access to the prompt file which you can use with Llama or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
3 weeks ago
Related item

Prompt Details

Model
(llama-3-8b-instruct)
Token size
99
Example input
[insert user-specified task or function]: Write a "Hello World" Program
Example output
Here's a simple "Hello World" program in Python: Python # Hello World Program def main(): """ Prints 'Hello, World!' to the console. Returns: None """ print("Hello, World!") if __name__ == "__main__": main() Explanation: The main function encapsulates the program's primary logic. The docstring provides a brief description of the function's purpose. The print statement outputs "Hello, World!" to the console. The if __name__ == "__main__" block ensures main is called when the script is run directly. Best Practices: Clear function naming and structure. Docstrings for documentation. Proper indentation (4 spaces). Simple, concise code. Applicability: This code serves as a foundation for various Python applications: Web Development: Use as a starting point for Flask or Django projects. Data Analysis: Import libraries like Pandas and NumPy within the main function. Automation: Replace print with automation logic (e.g., file operations). Machine Learning: Import libraries like TensorFlow or Scikit-learn within main. Running the Code: Save this code in a file (e.g., hello.py) and execute it using Python: Bash python hello.py Output: Hello, World!
Browse Marketplace