Skip to main content

dataguzzler-python

Project description

Dataguzzler-Python

Dataguzzler-Python is a tool to facilitate data acquisition, leveraging Python for scripting and interaction. A Dataguzzler-Python data acquisition system consists of modules that can control and/or capture data from your measurement hardware, and often additional higher-level modules that integrate functionality provided by the hardware into some sort of virtual instrument.

For basic information see: doc/source/about.rst For installation instructions see: doc/source/installation.rst For a quickstart guide see: doc/source/quickstart.rst

Basic requirements are Python v3.8 or above with the following packages: numpy, setuptools, wheel, build, setuptools_scm

Basic installation is (possibly as root or Administrator): pip install --no-deps --no-build-isolation .

More detailed documentation is also available in doc/source/

To render the documentation use a command prompt, change to the doc/ directory and type "make". On Windows it will create HTML documentation in the doc/build/html directory. On Linux you get options such as "make html" and "make latexpdf" to get different forms of documentation.

Project details


Download files

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

Source Distribution

dataguzzler_python-0.4.1.tar.gz (663.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dataguzzler_python-0.4.1-py3-none-any.whl (205.0 kB view details)

Uploaded Python 3

File details

Details for the file dataguzzler_python-0.4.1.tar.gz.

File metadata

  • Download URL: dataguzzler_python-0.4.1.tar.gz
  • Upload date:
  • Size: 663.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for dataguzzler_python-0.4.1.tar.gz
Algorithm Hash digest
SHA256 7d3c45c31cd228d17d48dbddd9def3b97af96c5269a5590a190f068b3f87d16a
MD5 12d0522ecfc5840c51cebfa937960cb0
BLAKE2b-256 8c4193daa859cbf70fa68a6885b1ce7172ca3cd1acef0000639ac9c3d8e3650a

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataguzzler_python-0.4.1.tar.gz:

Publisher: push-to-pypi.yml on isuthermography/dataguzzler-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dataguzzler_python-0.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for dataguzzler_python-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fa39272eeed5f2abfb16eac743a3c2e15b8def44afd20d035fa24160866ef2e6
MD5 18abb18f52c9d4d5da58eb0bd7ca1c8d
BLAKE2b-256 7403f85a264b28f4342fe7bde5498c81dfe0dc75cd67d2a10ddd5d17f17d341d

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataguzzler_python-0.4.1-py3-none-any.whl:

Publisher: push-to-pypi.yml on isuthermography/dataguzzler-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page