What is __future__ in Python used for and how/when to use it, and how it works
Interview Questions practice on Codemia
Over 8,000 real interview questions from top companies, searchable by company and role.
In Python, __future__ is a pseudo-module which programmers can use to enable new language features which are not compatible with the current interpreter. Essentially, it allows you to use features from future Python releases in your current projects.
Purpose of __future__
Python strives to maintain backward compatibility with older versions, but sometimes newer releases introduce features that could potentially break older code if implemented immediately. The __future__ module provides a way to gradually introduce these changes. By importing specific features from __future__, developers can test new features without waiting for the next Python release. This is particularly useful for smoothing the transition between Python 2 and Python 3.
How __future__ Works
To use features from the __future__ module, you should import them at the top of your Python script. The syntax looks like this:
This import needs to be placed before any other code or imports (except for from __future__ import annotations in Python 3.7+ which can be placed after other imports related to type hints). Once a feature has been successfully imported from __future__, it becomes globally active for the remainder of that program.
Commonly Used Features
Here are some commonly imported features from __future__:
- division: Changes the division operator
/to mean true division (e.g.,3 / 2 == 1.5). Without this import,/performs integer division where the decimals are discarded if both operands are integers. - print_function: This feature makes the
printsyntax in Python 3 (whereprintis a function) mandatory, even in Python 2.x. - unicode_literals: With this feature, all string literals are automatically treated as unicode strings.
- absolute_import: It changes the way how imports work to avoid conflicts between system modules and local modules if they share the same name.
- annotations: From Python 3.7 onwards, it allows postponing the evaluation of type annotations, which can be useful for type hinting.
When to Use __future__
Use __future__ imports in the following scenarios:
- When preparing your code for an upcoming Python version, especially if backward compatibility across versions is a concern.
- To maintain clean and modern code practices, leveraging the latest Python features.
- To ensure consistent behavior of certain operations (like division) across different Python versions (Python 2.x vs 3.x).
Example Usage
For an example, in a project where both Python 2.x and Python 3.x support might be required, using print_function from __future__ can be helpful:
If running this script in Python 2 without the import would raise a SyntaxError because print in Python 2 is a statement, not a function.
Summary Table
| Feature | Description | Python Version Introduced | Common Use |
| division | Makes / operator perform true division | 2.2 | To ensure consistent division behavior |
| print_function | Makes print a function | 2.6 | For compatibility with Python 3.x's print function |
| unicode_literals | Treats all string literals as unicode | 2.6 | Helps in handling text data consistently in Python 2.x and 3.x |
| absolute_import | Changes the way imports are handled | 2.5 | Prevents name collision between system and local modules |
| annotations | Allows postponing the evaluation of type annotations | 3.7 | Useful for forward references and other advanced type hinting |
Conclusion
The __future__ module in Python is a critical tool for ensuring that codebases are ready for future releases while maintaining compatibility with current and older versions. By allowing developers to opt-in to new features progressively, Python ensures that its evolution is both innovative and stable. By understanding and utilizing __future__, developers can write more robust and forward-compatible Python code.
Related reading
- What is __future__ in Python used for and how/when to use it, and how it works
- What is __init__.py for?
- What is __main__.py?
- What is __pycache__?
- What is __pycache__?
- What is a callable?
- What is a clean pythonic way to implement multiple constructors?
- What is a clean pythonic way to implement multiple constructors?
.png&w=3840&q=75)
Tackling System Design Interview Problems
A short course that equips you with the skills to approach system design interviews methodically.
Start the free courseTrack what you have practised
A free account saves your progress, solutions and study plan across every problem on Codemia.
Interview Questions practice on Codemia
Over 8,000 real interview questions from top companies, searchable by company and role.