Version 2.5.0

What's Changed

• add manifest for conda-forge by @rasbt in #91
• Make py3nvml optional by @bnavigator in #92
• fixed imports and docstring by @d-kleine in #95
• Display module of functions/classes imported by @martinp7 in #94

New Contributors

• @bnavigator made their first contribution in #92
• @d-kleine made their first contribution in #95
• @martinp7 made their first contribution in #94

Full Changelog: v2.4.0...v2.5.0

v. 2.4.0 (May 23, 2023)

• Adds a new --gpu flag to print out GPU information (currently limited to NVIDIA devices) (#90, via contribution by 907Resident)

v. 2.3.1 (May 27, 2022)

• Upper limit on importlib-metadata caused trouble installing on Python 3.7.
  Instead pin to minimum version with Python 3.8 functionality according to https://github.com/python/importlib_metadata#compatibility (#86, via contribution by James Myatt)

v. 2.3.0 (January 3, 2022)

• Added the following arguments: --github_username - for prints author github username, --email - for prints author email, --website - for prints author or project website. (#82, via contribution by joschkazj)
• Added a --conda option to print the name of the current conda environment. (#79, via contribution by Alexander Krasnikov)
• It is now possible to inject globals when used outside IPython (#80, via contribution by
  Hugo Lapré). For example, version numbers of imported packages can now be obtained as follows:

import numpy
import watermark.watermark as watermark


watermark(iversions=True, globals_=globals())

v. 2.2.0 (February 17, 2021)

• Refactoring such that a watermark() function now also works outside IPython and Jupyter. Now, the magic %watermark calls watermark(). Calling %watermark via IPython and Juypter still works as usual. However, in addition the watermark() function can be used within regular Python for unit testing purposes etc. (#46, via contribution by Tymoteusz Wołodźko)

Watermark v. 2.0.2 (November 19, 2019)

• Support VERSION attributes, in addition to __version__ attributes.

Watermark v. 2.0.1 (October 4, 2019)

• Now uses pkg_resources as the default method for getting version numbers.
• Fixes a whitespace bug when printing the timezone.

Watermark v. 1.8.2 (July 28, 2019)

• When no Python library was imported and the --iversion is used, print an empty string instead of raising an error.

Watermark v. 1.8.1 (January 26, 2019)

• Fixes string alignment issues when the -iv/--iversion flag is used.

Watermark v1.8.0 (Jan 02, 2019)

• The -iv/--iversion flag now also shows package versions that were imported as from X import Y
  and import X.Y as Y. For example,

import scipy as sp
from sklearn import metrics
import numpy.linalg as linalg

%watermark --iversions

will return

scipy     1.1.0
sklearn   0.20.1
numpy     1.15.4