"Path" object conveniently wrapping assorted file/path-related functionality
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README.rst

https://readthedocs.org/projects/pathpy/badge/?version=latest

path.py implements path objects as first-class entities, allowing common operations on files to be invoked on those path objects directly. For example:

from path import Path
d = Path('/home/guido/bin')
for f in d.files('*.py'):
    f.chmod(0o755)

# Globbing
for f in d.files('*.py'):
    f.chmod(0o755)

# Changing the working directory:
with Path("somewhere"):
    # cwd in now `somewhere`
    ...

# Concatenate paths with /
foo_txt = Path("bar") / "foo.txt"

path.py is hosted at Github.

Find the documentation here.

Guides and Testimonials

Yasoob wrote the Python 101 Writing a Cleanup Script based on path.py.

Installing

Path.py may be installed using setuptools, distribute, or pip:

pip install path.py

The latest release is always updated to the Python Package Index.

You may also always download the source distribution (zip/tarball), extract it, and run python setup.py to install it.

Advantages

Python 3.4 introduced pathlib, which shares many characteristics with path.py. In particular, it provides an object encapsulation for representing filesystem paths. One may have imagined pathlib would supersede path.py.

But the implementation and the usage quickly diverge, and path.py has several advantages over pathlib:

  • path.py implements Path objects as a subclass of str (unicode on Python 2), and as a result these Path objects may be passed directly to other APIs that expect simple text representations of paths, whereas with pathlib, one must first cast values to strings before passing them to APIs unaware of pathlib. This shortcoming was addressed by PEP 519, in Python 3.6.
  • path.py goes beyond exposing basic functionality of a path and exposes commonly-used behaviors on a path, providing methods like rmtree (from shlib) and remove_p (remove a file if it exists).
  • As a PyPI-hosted package, path.py is free to iterate faster than a stdlib package. Contributions are welcome and encouraged.
  • path.py provides a uniform abstraction over its Path object, freeing the implementer to subclass it readily. One cannot subclass a pathlib.Path to add functionality, but must subclass Path, PosixPath, and WindowsPath, even if one only wishes to add a __dict__ to the subclass instances. path.py instead allows the Path.module object to be overridden by subclasses, defaulting to the os.path. Even advanced uses of path.Path that subclass the model do not need to be concerned with OS-specific nuances.

Alternatives

In addition to pathlib, the pylib project implements a LocalPath class, which shares some behaviors and interfaces with path.py.

Development

To install a development version, use the Github links to clone or download a snapshot of the latest code. Alternatively, if you have git installed, you may be able to use pip to install directly from the repository:

pip install git+https://github.com/jaraco/path.py.git

Testing

Tests are continuously run by Travis-CI: BuildStatus

To run the tests, refer to the .travis.yml file for the steps run on the Travis-CI hosts.

Releasing

Tagged releases are automatically published to PyPI by Travis-CI, assuming the tests pass.