{"id":27942153,"url":"https://github.com/pranabdas/arpespythontools","last_synced_at":"2025-10-17T02:01:53.347Z","repository":{"id":40652654,"uuid":"197916778","full_name":"pranabdas/arpespythontools","owner":"pranabdas","description":"Explore, analyze, visualize Angle Resolved Photoemission Spectroscopy (ARPES) 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align=\"center\"\u003eARPES Python Tools\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml\"\u003e\u003cimg src=\"https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml/badge.svg\" alt=\"Python tests status\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml\"\u003e\u003cimg src=\"https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml/badge.svg\" alt=\"Deploy gh-pages status\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/pranabdas/arpespythontools/actions/workflows/publish.yml\"\u003e\u003cimg src=\"https://github.com/pranabdas/arpespythontools/actions/workflows/publish.yml/badge.svg\" alt=\"Deploy gh-pages status\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/pranabdas/arpespythontools/blob/master/LICENSE\"\u003e\u003cimg src=\"https://img.shields.io/github/license/sourcerer-io/hall-of-fame.svg?colorB=A31F34\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://pypi.org/project/arpespythontools/#history\"\u003e\u003cimg src=\"https://img.shields.io/github/v/release/pranabdas/arpespythontools.svg\" alt=\"Latest Release\"/\u003e\u003c/a\u003e\n  \u003ca href=\"https://pypi.org/project/arpespythontools/\"\u003e\u003cimg src=\"https://img.shields.io/pypi/pyversions/arpespythontools\" alt=\"Supported Python versions\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\nThis python library helps you load, analyze and visualize ARPES data.\n\n## Quick start\n\nInstall latest stable version:\n```console\npip install --upgrade arpespythontools\n```\n\nImport and start using:\n\n```python\nimport arpespythontools as arp\n\ndata, energy, angle = arp.load_ses_spectra(\"sample_spectrum.txt\")\ndata_k, e_bin, k = arp.k_conv(data, energy, angle, 16.67)\n```\n\nPlease find the detailed documentation here: https://pranabdas.github.io/arpespythontools/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpranabdas%2Farpespythontools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpranabdas%2Farpespythontools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpranabdas%2Farpespythontools/lists"}