Free Python Code Generator
Describe a Python task in plain English and get a complete, runnable script — with imports, functions, and a note on how to run it. Built for beginners, useful for everyone. Free, no signup, no limits.
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import os
# Folder to clean up — change this to your path
FOLDER = "./photos"
for i, name in enumerate(sorted(os.listdir(FOLDER)), start=1):
src = os.path.join(FOLDER, name)
if not os.path.isfile(src):
continue
ext = os.path.splitext(name)[1].lower()
dst = os.path.join(FOLDER, f"photo_{i:03d}{ext}")
os.rename(src, dst)
print(f"{name} -> {os.path.basename(dst)}")This script renames every file in a folder to photo_001, photo_002, and so on, keeping each file’s extension. Set FOLDER to your folder, then run python rename.py from a terminal.
Whether you're learning Python for the first time or you just need a quick script to automate something, this tool writes the code for you. Describe what you want in plain English — like "rename all files in a folder" or "fetch data from an API and save it as JSON" — and you get a complete Python script with clear comments and instructions on how to run it.
How to generate Python code in four steps
Describe your Python task
Type what you want in plain English — "a script to rename files", "parse a JSON file and extract certain fields". No need to know Python syntax.
We write the complete script
FreeCodeGen generates a full Python script with imports at the top, clearly named functions, and a main block — ready to copy and run.
Read the explanation
Every generated script comes with a short plain-English note covering what each section does and the exact command to run it.
Copy, adapt, and run
Paste the code into your editor or a .py file, fill in any placeholder values (like a file path or API key), then run it with python script.py.
About this Python code generator
This tool generates complete, ready-to-run Python scripts from a plain-English description. It's designed for beginners who are still learning the language, as well as experienced developers who want a quick starting point without typing boilerplate from scratch.
The kinds of Python code it handles best include file and folder operations (reading, writing, renaming, moving files), CSV and spreadsheet processing, fetching data from REST APIs, basic web scraping with requests and BeautifulSoup, sending emails, working with JSON, scheduling or automating repetitive tasks, and simple data analysis or transformation scripts.
Every generated script follows a consistent structure: import statements at the top, one or more well-named functions in the middle, and a main block at the bottom guarded by if __name__ == '__main__'. This makes the code easy to read, modify, and reuse as a module.
To run a generated script, save it as a .py file and execute it with python script.py (or python3 script.py on macOS/Linux). If the script uses third-party libraries like requests, pandas, or beautifulsoup4, install them first with pip install <library-name>. For anything beyond a quick one-off task, it's worth setting up a virtual environment first: python -m venv venv, then activate it with source venv/bin/activate (macOS/Linux) or venv\Scripts\activate (Windows).
When you get the generated code, look for placeholder values written in ALL_CAPS or wrapped in angle brackets — things like YOUR_API_KEY, INPUT_FILE_PATH, or <your-email>. Replace those with your actual values before running. The comments in the script will explain what each section does, so even if you're new to Python you can follow along and adapt the code to fit your exact situation.
Frequently asked questions
Does the generated Python code actually run?
Yes — the output is a complete script with imports and a main block, not just a snippet. It's a solid starting point; always read through it and replace any placeholder values before running.
What Python version does it target?
Generated code targets Python 3 (3.8+), which covers the vast majority of modern environments. If you need Python 2 compatibility, mention it in your prompt.
Can I use this if I've never written Python before?
Absolutely — that's the main use case. Every script comes with a plain-English explanation of what it does and the exact command to run it, so you don't need prior Python knowledge to get started.
What if the script uses a library I don't have installed?
The explanation will tell you which libraries to install. Run pip install <library-name> before executing the script. For example: pip install requests pandas.
Can I ask for changes to the generated script?
Yes — just describe what you want adjusted in a new prompt, like "same script but also log errors to a file" or "add a progress bar while processing". You can iterate as many times as you need, for free.