Tools

Python 2/3 Converter

This page provides the Python 2/3 Converter tool. Utilize it for your tasks.

Why Use a Python 2 to 3 Converter?

Although Python 2 reached end-of-life on January 1, 2020, millions of code lines still run on legacy versions. A fast, reliable Python 2/3 Converter helps you:

  • Migrate legacy projects to supported, secure Python 3.x releases.

  • Unlock modern libraries that drop Python 2 compatibility (e.g., Pandas ≥ 1.0, Django ≥ 2.0).

  • Eliminate SyntaxError surprises when CI/CD pipelines upgrade their default interpreter.

  • Future-proof tutorials & blog posts, keeping content relevant for new learners.


How the Converter Works

  1. Paste or Upload Your Code
    The editor supports single files, multi-module projects, and Jupyter snippets.

  2. Click “Translate”
    Behind the scenes, we combine lib2to3, future, and custom rules to refactor:

    • print statements ➜ print() functions

    • Integer division quirks ➜ // for floor, / for true division

    • xrange, iteritems, basestring, and more ➜ Python 3 equivalents

    • unicode/str handling ➜ str + explicit .encode() / .decode() where needed

  3. Review the Output
    Inlined comments flag any edge cases that may require a quick manual tweak.

  4. Copy or Download
    Grab production-ready Python 3 code and run it through our Python PEP 8 Formatter for pristine style.


Common Python 2 → 3 Transformations

Feature

Python 2 Syntax

Python 3 Syntax

Why It Matters

Printing

print "hi"

print("hi")

Function call enables redirection & f-strings

Division

5 / 2 # 2

5 / 2 # 2.5
5 // 2 # 2

Avoid silent integer truncation

Iteration

for k, v in dict.iteritems():

for k, v in dict.items():

Unified iterator semantics

Ranges

xrange(10)

range(10)

range is lazy in Py 3

Exceptions

except ValueError, e:

except ValueError as e:

New as syntax is mandatory

Strings

u"unicode"

"unicode" (default str = Unicode)

Removes dual str/unicode types


Pro Tips for Smooth Migration

  • Run unit tests before & after to confirm logic parity.

  • Add from __future__ import division, print_function in Py 2 code to catch issues early.

  • Pin dependencies—some libraries still ship Py 2-only versions on older tags.

  • Use virtual environments to isolate interpreters (pyenv, venv, or Conda).


Frequently Asked Questions

Will the converter update third-party library calls?
Core syntax and standard-library changes are automated; external APIs may still need manual tweaks.

Does it change code style to PEP 8?
Syntax first—run the output through our Python PEP 8 Formatter for consistent style.

Is my code stored or logged?
No. All processing is in-memory via an encrypted session; nothing is saved server-side.

Can I convert Python 3 back to 2?
The tool focuses on upgrading to Python 3. Downgrading is not recommended given EOL status.


Super-Charge Your Python Workflow

  • Lint converted code with our Python Static Analyzer (coming soon).

  • Format it perfectly using the Python PEP 8 Formatter.

  • Visualize data instantly with our SQL-to-Pandas Converter.

Upgrade once—code confidently on modern Python for years to come.