Python Syntax Highlighting
Full support for Python keywords, decorators, f-strings, type hints, and comprehensions with accurate colorized output.
Keep Python syntax colors, line numbers, and the layout you choose. Preview every page and export the PDF without uploading your code.
Paste code. See it formatted. Export as PDF.
Full support for Python keywords, decorators, f-strings, type hints, and comprehensions with accurate colorized output.
Download your Python scripts as professionally formatted PDF documents with preserved syntax colors and line numbers.
Choose font size, page orientation, columns, and page size. Multi-column layout is ideal for dense Python scripts.
Toggle line numbers on or off. Essential for code reviews where referencing specific lines matters.
Print Python code for offline desk checking. Many senior engineers prefer reviewing code on paper to catch logic errors that screens miss.
Create handouts for Python classes and workshops. Students follow along with printed code that includes line numbers for easy reference.
Include formatted Python code snippets in technical documentation, architecture decision records, or project reports.
Print algorithm implementations and data structure code for offline study. Annotate printed code with notes and corrections.
Paste your Python code into the editor or type directly. The language is auto-detected from the file extension.
Adjust font size, line numbers, columns, page orientation, and page size to match your needs.
Click Print to send to your printer, or PDF to download a formatted document with syntax highlighting preserved.
Python’s indentation is part of the program, not decoration. If a printout collapses leading spaces, wraps blocks carelessly, or separates a decorator from its function, the code becomes harder to reason about and can appear to mean something it does not. Codeprint preserves whitespace, decorators, type annotations, comprehensions, and f-strings exactly while adding syntax colors that remain useful on paper.
Desk checking is a time-tested way to find problems that disappear into a familiar editor theme. With the whole function visible at once, you can trace state changes, circle an incorrect condition, compare branches, and write questions beside the precise line that prompted them. Line numbers make those notes easy to bring back into a pull request or classroom discussion.
The result is designed as a document rather than a screenshot. Text remains selectable, the page size and orientation are explicit, and dense scripts can use a smaller type size or multiple columns. That makes a Python PDF useful for code reviews, teaching handouts, architecture records, and offline interview practice without uploading the script to a conversion service.