Code & Scripts

    Python for people who don't write Python all day.

    Tuned for data work. Describe the transformation, analysis, or chart you want. Get back Python that uses the right library for the job.

    Start free

    Used by 99,000+ analysts and data folks

    Try it

    Free to try. No credit card. 5 generations on us.

    What you'll get

    A real output for a real prompt.

    Python Code Generator

    What would you like to do in Python?

    Generate Python code that cleans a CSV with pandas, drops null values, and summarizes sales by region

    Need inspiration? Try one of these prompts:

    Generate Python code that cleans a CSV with pandas, drops null values, and summarizes sales by regionDebug a NumPy routine that throws a ValueError when stacking arrays of different shapesExplain a Matplotlib script that overlays a rolling average on top of a bar chartGenerate Python code to group customer feedback by sentiment and export to Excel

    Core Python Libraries

    matplotlibNumPypandasseabornstatsmodels

    Additional Libraries

    beautifulsoup4networkxpillowpytorchscikit-learnscipysympytabulate+ 8 more

    Action

    GenerateDebugExplain

    Results

    There's a specific kind of user this tool is built for, and it's probably you if you're reading this. You know enough Python to be dangerous. You can read a script and roughly understand what it does. You've pip-installed things before. But you don't write Python from a blank file every day, and when you do, half the time is spent looking up whether it's df.groupby('col').sum() or df.groupby('col').agg(...) and whether .iloc or .loc is the right one here.

    This tool handles that. You describe what you want the code to do. We write the code, using the right library conventions, with the right imports at the top.

    What it's tuned for

    Data manipulation with pandas. Numerical work with NumPy. Visualization with matplotlib, seaborn, and plotly. Machine learning with scikit-learn. File I/O (CSV, Excel, JSON, Parquet). Web scraping with requests and BeautifulSoup. API work. Date and time math with datetime and pandas.

    It's less tuned for web frameworks (Django, Flask), game dev, or systems programming. It'll generate working code for those, but there are better tools for that work.

    Real prompts we see

    “Clean this dataframe: parse the date column, drop rows where email is blank, lowercase everything in the name column, and deduplicate on email keeping the most recent.”

    “Read all CSVs in a folder, stack them, and save as Parquet.”

    “Train a logistic regression on this dataset to predict churn. Print the confusion matrix and ROC AUC.”

    “Plot these three time series on the same chart with different colors, a legend, and a title.”

    All of those get you working code, not pseudocode, with the imports and the data-loading boilerplate included.

    Debug mode

    Paste code that's breaking. Paste the error message. Describe what the code is supposed to do. We'll tell you what's wrong and suggest a fix. This is especially useful for the KeyError: 'column_name' class of bugs where the real problem is three steps upstream.

    Why not just use ChatGPT

    You can. Plenty of people do. Two reasons people tell us they end up here anyway. One, we don't context-switch you out of your workflow. You're here for the code, you get the code, you leave. Two, because we're tuned for this specific job, we skip the preamble. No “Certainly! Here's a Python script that...” paragraph. Just the code, then the explanation if you want it.

    Common questions.

    Pairs well with.

    Stop wrestling with syntax.

    Start free