Skip to main content

support Python 2 with fewer warts

Project description

The future module helps run Python 3.x-compatible code under Python 2.

The goal of the future module is to allow you to write clean, modern Python 3.x-compatible code today and to run it with minimal effort under Python 2 alongside a Python 2 stack of dependencies.

It is designed to be used as follows::

from __future__ import division, absolute_import, print_function
from future import common_iterators, disable_obsolete_builtins, super

# Then Python 3-compatible code, e.g.
for i in range(10**9):
    pass

class verbose_list(list):
    def append(self, item):
        print('Adding an item')
        return super().append(item)    # new simpler super() function

# These raise NotImplementedErrors:
# apply(), cmp(), coerce(), xrange(), etc.

FAQ

Q:

Does it work?

A:

Probably not.

Q:

Who is this for?

A:
  1. People who would prefer to write clean, future-proof Python 3.3+-compatible code, but whose day-jobs require that their code run on a Python 2 stack.
  2. People who wish to simplify migration of their codebases to Python 3.3+, module by module and feature by feature.
  3. People with existing or new Python 3.3+ codebases who wish to provide Python 2.6 and 2.7 support easily.
  4. People who like debugging crazy exceptions.
Q:

What is the relationship between this project and python-modernize?

A:

python-modernize is great, and this project is designed to complement it. For a project wishing to migrate to Python 3, python-modernize is useful for starting the process of cleaning up legacy code idioms and translating code into a more modern idiom: a common subset of Python 3 and Python 2 that should run under either platform.

future allows hand-written Python 3 code to run with less work and and less backward-compatible cruft on Python 2.

Q:

What is the relationship between this project and six?

A:

future is a higher-level interface that builds on the six module. They share the same goal of supporting codebases that work on both Python 2 and Python 3 without modification. They differ in the interface they offer, the Python versions they target, and the amount of magic in the implementation.

Codebases that use it are sometimes standard Python 3 code, sometimes Python 2 code, and sometimes six-specific wrapper interfaces.

Here is a simple example of code compatible with both Python 2 and Python 3 using six:

from six.moves import xrange
for i in xrange(10**8):    # invalid Python 3 code
    pass

Here is the corresponding example using the future module:

from future import common_iterators
for i in range(10**8):     # standard Python 3
    pass

Note that the former introduces warty Python 2 cruft into a Python 3 codebase in order to offer Python 2 support. The latter example is standard Python 3 code, with an import line that has no effect on Python 3.

Another difference is version support: future supports only Python 2.6, Python 2.7, and Python 3.3+. In contrast, six is designed to support versions of Python prior to 2.6 and Python 3.0-3.2. Some of the interfaces provided by six (like the next() function) are superseded by features provided in Python 2.6 and Python 2.7, such as from __future__ import print_function.

Another difference is that the implementation of future is more magical (i.e. evil). It does scary, ugly things so your code doesn’t have to.

Q:

Can you support feature XYZ from the standard library in Python 3.3+ on Python 2.x?

A:

Probably not. Our goal is to make it as easy as possible to support both platforms using standard Python 3 code, in order to facilitate Python 3 adoption. Our goal is not to reimplement shiny new features from Python 3 in Python 2. That may be a worthwhile goal, but it belongs in a separate project.

Q:

How did the original need for this arise?

A:

In teaching Python to newbies, we faced a dilemma: teach them Python 3, which was future-proof but not as useful today because of weaker 3rd-party package support, or teach them Python 2, which was more useful today but would require them to unlearn various habits soon. We searched for ways to avoid polluting the world with more deprecated code.

Q:

Do you support Pypy and/or Jython?

A:

Not sure. This would be nice. Pull requests, please!

Q:

Should I use this in production?

A:

No! Maybe one day?… But no!

Q:

Can I help?

A:

Yes, we welcome bug reports, tests, and pull requests.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
future-0.0.1.tar.gz (8.6 kB) Copy SHA256 hash SHA256 Source None Jul 14, 2013

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page