screen reader experiences with static and interactive tables¤

today explored the accessibility of static and interactive table representations. we had a really pleasant explore with itables as representation for tables. it is a better tactile for all.

%%html
<iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/B9FvsZTy2hg?si=lrg7Th_U-Uvf30d8&amp;start=1800" title="YouTube video player" width="560"></iframe>

    import nobook.utils, pandas, itables

activate the itables repr for the notebook.

    itables.init_notebook_mode(all_interactive=True)

create some data to work with by downloading gist from github. this was a nice way to warm up for live programming today.

    df = (await pandas.RangeIndex(1, 5).map(
        "https://api.github.com/users/tonyfast/gists?page={}".format
    ).http.get()).explode().series().set_index("id")
    df.head(2).style.set_caption("tonyfast's gists")

tonyfast's gists
	url	forks_url	commits_url	node_id	git_pull_url	git_push_url	html_url	files	public	created_at	updated_at	description	comments	user	comments_url	owner	truncated
id
90c41d4994f75c594db804aeba56fc26	https://api.github.com/gists/90c41d4994f75c594db804aeba56fc26	https://api.github.com/gists/90c41d4994f75c594db804aeba56fc26/forks	https://api.github.com/gists/90c41d4994f75c594db804aeba56fc26/commits	G_kwDOAECj89oAIDkwYzQxZDQ5OTRmNzVjNTk0ZGI4MDRhZWJhNTZmYzI2	https://gist.github.com/90c41d4994f75c594db804aeba56fc26.git	https://gist.github.com/90c41d4994f75c594db804aeba56fc26.git	https://gist.github.com/tonyfast/90c41d4994f75c594db804aeba56fc26	{'first_and_second_laws_of_thermodynamics.ipynb': {'filename': 'first_and_second_laws_of_thermodynamics.ipynb', 'type': 'text/plain', 'language': 'Jupyter Notebook', 'raw_url': 'https://gist.githubusercontent.com/tonyfast/90c41d4994f75c594db804aeba56fc26/raw/05a74d0f32aa9dfcd507f2acaf1875f330506fb3/first_and_second_laws_of_thermodynamics.ipynb', 'size': 20469}}	True	2024-01-10T21:04:06Z	2024-01-10T21:04:39Z	a notebook with revised literate pidgy cells for the first part of thermodyamics course	0	None	https://api.github.com/gists/90c41d4994f75c594db804aeba56fc26/comments	{'login': 'tonyfast', 'id': 4236275, 'node_id': 'MDQ6VXNlcjQyMzYyNzU=', 'avatar_url': 'https://avatars.githubusercontent.com/u/4236275?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/tonyfast', 'html_url': 'https://github.com/tonyfast', 'followers_url': 'https://api.github.com/users/tonyfast/followers', 'following_url': 'https://api.github.com/users/tonyfast/following{/other_user}', 'gists_url': 'https://api.github.com/users/tonyfast/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/tonyfast/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/tonyfast/subscriptions', 'organizations_url': 'https://api.github.com/users/tonyfast/orgs', 'repos_url': 'https://api.github.com/users/tonyfast/repos', 'events_url': 'https://api.github.com/users/tonyfast/events{/privacy}', 'received_events_url': 'https://api.github.com/users/tonyfast/received_events', 'type': 'User', 'site_admin': False}	False
aa3b16c5a284150e3d727a843b6cefec	https://api.github.com/gists/aa3b16c5a284150e3d727a843b6cefec	https://api.github.com/gists/aa3b16c5a284150e3d727a843b6cefec/forks	https://api.github.com/gists/aa3b16c5a284150e3d727a843b6cefec/commits	G_kwDOAECj89oAIGFhM2IxNmM1YTI4NDE1MGUzZDcyN2E4NDNiNmNlZmVj	https://gist.github.com/aa3b16c5a284150e3d727a843b6cefec.git	https://gist.github.com/aa3b16c5a284150e3d727a843b6cefec.git	https://gist.github.com/tonyfast/aa3b16c5a284150e3d727a843b6cefec	{'axe_types.py': {'filename': 'axe_types.py', 'type': 'application/x-python', 'language': 'Python', 'raw_url': 'https://gist.githubusercontent.com/tonyfast/aa3b16c5a284150e3d727a843b6cefec/raw/2f5b9e13263abcfa1c2fee71416a0f94971c48c6/axe_types.py', 'size': 8442}}	True	2023-12-03T21:31:06Z	2023-12-03T21:31:06Z		0	None	https://api.github.com/gists/aa3b16c5a284150e3d727a843b6cefec/comments	{'login': 'tonyfast', 'id': 4236275, 'node_id': 'MDQ6VXNlcjQyMzYyNzU=', 'avatar_url': 'https://avatars.githubusercontent.com/u/4236275?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/tonyfast', 'html_url': 'https://github.com/tonyfast', 'followers_url': 'https://api.github.com/users/tonyfast/followers', 'following_url': 'https://api.github.com/users/tonyfast/following{/other_user}', 'gists_url': 'https://api.github.com/users/tonyfast/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/tonyfast/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/tonyfast/subscriptions', 'organizations_url': 'https://api.github.com/users/tonyfast/orgs', 'repos_url': 'https://api.github.com/users/tonyfast/repos', 'events_url': 'https://api.github.com/users/tonyfast/events{/privacy}', 'received_events_url': 'https://api.github.com/users/tonyfast/received_events', 'type': 'User', 'site_admin': False}	False

    files = df.files.apply(dict.values).explode().series()

    files.style.set_caption("tonyfast's files in gist")

tonyfast's files in gist
	filename	type	language	raw_url	size
id
90c41d4994f75c594db804aeba56fc26	first_and_second_laws_of_thermodynamics.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/90c41d4994f75c594db804aeba56fc26/raw/05a74d0f32aa9dfcd507f2acaf1875f330506fb3/first_and_second_laws_of_thermodynamics.ipynb	20469
aa3b16c5a284150e3d727a843b6cefec	axe_types.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/aa3b16c5a284150e3d727a843b6cefec/raw/2f5b9e13263abcfa1c2fee71416a0f94971c48c6/axe_types.py	8442
713ae6c57602c0f85d011421b20d5ea0	BinaryExamples.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/713ae6c57602c0f85d011421b20d5ea0/raw/d24a71e9def2a3eecb24676dd8d3cfd7c55272f5/BinaryExamples.ipynb	352154
c004044b4fe641735031ecf2069cf595	aom.json	application/json	JSON	https://gist.githubusercontent.com/tonyfast/c004044b4fe641735031ecf2069cf595/raw/5204f4418e56d16380cd7a14ba4af195dd73b7a5/aom.json	52330
e17946facd998a931527467d646cc822	README.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/e17946facd998a931527467d646cc822/raw/0481fae6d1b7d48298e46af27b53f87f79a7ad43/README.md	3044
99303420edc6021bbeeaa96c522469a1	ummm.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/99303420edc6021bbeeaa96c522469a1/raw/3a3550ed6823091a90ee65d02d94a861ebaca304/ummm.py	266
c8e19ffb2b85f5bf6f5a4b6e76c327cd	abc.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/c8e19ffb2b85f5bf6f5a4b6e76c327cd/raw/64ec5a716f3f85b3b2ff06f1b3b6b10e9d9e0018/abc.py	469
4e33098a9f3a50805ad99d08e96825a6	graph shit.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/4e33098a9f3a50805ad99d08e96825a6/raw/7c4ab23e3f60dea7c299dad16b780dcb88a746e4/graph%20shit.py	4213
243d7758d659c406f6e12cbd7b045384	hide_empty_outputs.html	text/html	HTML	https://gist.githubusercontent.com/tonyfast/243d7758d659c406f6e12cbd7b045384/raw/082e9f20e4c02ffdb291ad3a5ccf64d57fa45544/hide_empty_outputs.html	90
42612252e0ed0df02f811932becd8241	2022-12-01-1.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/42612252e0ed0df02f811932becd8241/raw/e447e1564892d37203b2584d28426779967bdb7d/2022-12-01-1.ipynb	4956
abc7748fcc84177b59156d156132aabb	lua.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/abc7748fcc84177b59156d156132aabb/raw/5e959672aa41780cb63e95e1e484f3d3d67e8b54/lua.py	408
d9842e69957895a883203101d32053c5	2022-09-18-static-notebook-tags.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/d9842e69957895a883203101d32053c5/raw/1cd7cdb5e9aa56aaec94848ba14a60bd4c208a46/2022-09-18-static-notebook-tags.ipynb	21687
d3aa6592100eb30d7ec9efcb3b3efb06	details-summary.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/d3aa6592100eb30d7ec9efcb3b3efb06/raw/11130e268b64bdf36027786a3edb7199e6347d92/details-summary.ipynb	5841
146153f37825c9a0d078027c141823c5	2022-08-05-iris-demo.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/146153f37825c9a0d078027c141823c5/raw/fee6a9f02acf05a0b49ed4d37d8ecb0517db17f9/2022-08-05-iris-demo.ipynb	103473
ef00eeb40ce268ff68cc7d606437ac6c	nbval triggers	text/plain	None	https://gist.githubusercontent.com/tonyfast/ef00eeb40ce268ff68cc7d606437ac6c/raw/6f3e58577e0ca4a9326ae1104908e13c951eb474/nbval%20triggers	84
1172d78b9a9a9738c8be759d304220e4	2022-07-17-shebang-magic.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/1172d78b9a9a9738c8be759d304220e4/raw/ef13d1d236d4ad9e1dfffee2d5a6eedb0d237e11/2022-07-17-shebang-magic.ipynb	9822
3006d326442a9f4dd2ba61370cc2d37e	2022-07-16-larknb.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/3006d326442a9f4dd2ba61370cc2d37e/raw/10a00bd9ab4b3d69e4c6b005092f98168f8fdf7e/2022-07-16-larknb.ipynb	19876
3006d326442a9f4dd2ba61370cc2d37e	_snippet.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/3006d326442a9f4dd2ba61370cc2d37e/raw/c9df7ae9cdf85886e4e40650d28f127ec47256ea/_snippet.py	1844
d8ed2e33c5f70ad3b8340d4cf6cace21	2022-07-16-list-of-urls-py-md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/d8ed2e33c5f70ad3b8340d4cf6cace21/raw/e614842133dec8853c3c23feccef6af9f34b048a/2022-07-16-list-of-urls-py-md.ipynb	16111
6c236af7dcaa87fc012f31b720575dd7	2022-06-28-.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/6c236af7dcaa87fc012f31b720575dd7/raw/0003c0747a1b1f91865e9e8e690c807c55d8bef4/2022-06-28-.ipynb	22890
1ddcdce4eab431a8227be352d4c5a57b	2021-12-15-a11y-highlights.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/1ddcdce4eab431a8227be352d4c5a57b/raw/edc53fda384c46a14ff3f423a4020208bc49d0d9/2021-12-15-a11y-highlights.md.ipynb	446103
df99b18e240d43c8b966aeb0a6e5a0d8	2021-12-15-a11y-highlights.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/df99b18e240d43c8b966aeb0a6e5a0d8/raw/3d3a066eb0b3663f2b52b456a7c04cb1ba3138af/2021-12-15-a11y-highlights.md.ipynb	436488
4cec811eb02f0107dc77f7da564657a2	2021-12-15-a11y-highlights.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/4cec811eb02f0107dc77f7da564657a2/raw/d9c7d867045149ea06d6b150c40f0b7b410cac96/2021-12-15-a11y-highlights.md.ipynb	446103
bec93ba06cb420d58db3b1a4656e05b7	2021-12-15-a11y-highlights.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/bec93ba06cb420d58db3b1a4656e05b7/raw/39c2f5f37455f3cebee7811be5e5a32ce3e0d25c/2021-12-15-a11y-highlights.md.ipynb	444956
121f22a609d142992bf081bda7a875f7	2021-10-13-gannt.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/121f22a609d142992bf081bda7a875f7/raw/92993005ec23d85500b1f035e1185ffe56052ca2/2021-10-13-gannt.ipynb	111977
e2cae138e4bb043cd277709ff45ba8a3	2021-10-11-colorizing.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e2cae138e4bb043cd277709ff45ba8a3/raw/15393db863cbe04693ac1bb9604d43e731baff79/2021-10-11-colorizing.ipynb	54416
f34f1fc4454de5e61b6ed55a6736071c	2021-10-08-distributions-dataframe.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/f34f1fc4454de5e61b6ed55a6736071c/raw/32cfd4aded9a98a9a6818f5295672acd1dcde232/2021-10-08-distributions-dataframe.ipynb	22674
0d5cbee1f3b4aac205e9ddd407d0f4dc	2021-10-03-pd-calendar.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/0d5cbee1f3b4aac205e9ddd407d0f4dc/raw/4a5a73eb2577829a8d77fe6fb7be5404f97af326/2021-10-03-pd-calendar.ipynb	89667
0d5cbee1f3b4aac205e9ddd407d0f4dc	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/0d5cbee1f3b4aac205e9ddd407d0f4dc/raw/031449f75c4e2e7dfe4d58525ae69ddce1e9693b/requirements.txt	15
cf3a246202f177500d47146303bdc235	2021-10-01-drum-machine.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/cf3a246202f177500d47146303bdc235/raw/7508496e07a11dc6f3eb6d3490c140d35ac7d6f3/2021-10-01-drum-machine.ipynb	3755
cf3a246202f177500d47146303bdc235	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/cf3a246202f177500d47146303bdc235/raw/03d0f8c03a3106861fa3646e311cd573662dac5c/requirements.txt	17
d68fbc171ebe00055225e97472ef91d2	2021-09-27-doit-widget.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/d68fbc171ebe00055225e97472ef91d2/raw/51f2186f0c06072d1f8be3c0f81cf7a46b1707fc/2021-09-27-doit-widget.ipynb	91056
d68fbc171ebe00055225e97472ef91d2	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/d68fbc171ebe00055225e97472ef91d2/raw/7c4090b962c8b1e6c658a09a2894966c29005879/requirements.txt	15
3e259e5033c7a284016cae9382d84415	2021-09-20-pandas-one-liner.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/3e259e5033c7a284016cae9382d84415/raw/4dc1f8efb8500816bb22e19c929c6b7ac534b423/2021-09-20-pandas-one-liner.ipynb	13494
378c801a3a80e61be39022acaab6331d	2021-09-08-traceback-format.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/378c801a3a80e61be39022acaab6331d/raw/74d78a2d38a6c11c3b3d6b440405a75ff5c954ed/2021-09-08-traceback-format.ipynb	6801
1be9012678ecad1cea26514ad7cf709e	jupyter_config.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/1be9012678ecad1cea26514ad7cf709e/raw/a053dc78f9247f3ca233b15e4f86eb65b3af85e5/jupyter_config.py	1367
1be9012678ecad1cea26514ad7cf709e	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/1be9012678ecad1cea26514ad7cf709e/raw/531d35f146716da5824c573c629695aa5d5d1122/readme.md	143
279bdf4430e8ed55bcbb0064877dc066	editting.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/279bdf4430e8ed55bcbb0064877dc066/raw/6f8284199c5bb7bce67d611436b74c48707733c1/editting.ipynb	21660
d01a0248979b21c9484d0827e04c0e68	generate-alt-text.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/d01a0248979b21c9484d0827e04c0e68/raw/9c1ebb8ff4ca0b3fd41963e48e28e77f06dacfa0/generate-alt-text.ipynb	43368
359ed1f7d2df21d9e79c0f996f795d57	style.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/359ed1f7d2df21d9e79c0f996f795d57/raw/e0ff961042bd70d4cbad449acb48b8db4871c152/style.ipynb	2917582
0c0b11c8e69bc8d38611ec6ac1fddbd2	readyou.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/0c0b11c8e69bc8d38611ec6ac1fddbd2/raw/751c23aa68602181c27e3fab8b466d39a888fb62/readyou.ipynb	3820
0c0b11c8e69bc8d38611ec6ac1fddbd2	tbone.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/0c0b11c8e69bc8d38611ec6ac1fddbd2/raw/379dddae0767604d5ca13fc256e6702ffc915888/tbone.md.ipynb	42032
eadf27c67451b4b683e29b0c891b035e	uritemplates.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/eadf27c67451b4b683e29b0c891b035e/raw/45d07027894b2f68348ce2818e6f5a4d303f5c9c/uritemplates.ipynb	14324
0035d132c0c9162de4b3e66e3d596334	suggest-changes-pr.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/0035d132c0c9162de4b3e66e3d596334/raw/2d4df2936624f60e4b5506f3dc07d11072d27425/suggest-changes-pr.ipynb	709746
cbeb91729e94c785f6c50c6c434455f0	doit-requires.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/cbeb91729e94c785f6c50c6c434455f0/raw/1eb6403947cafc2ccb362a019da3e389e27035f5/doit-requires.ipynb	5494
bd97099fb9f932a6402e5c6161f14748	arrays.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/bd97099fb9f932a6402e5c6161f14748/raw/1a0ac540d148cf1a6aadccab1f5c096f9f3cc884/arrays.ipynb	4030
bd97099fb9f932a6402e5c6161f14748	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/bd97099fb9f932a6402e5c6161f14748/raw/1e4235935656637ab2b1932ac09f2ea62d24da6a/readme.md	27
c040b39d6149ef4fa57343f073dbde38	publishing.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/c040b39d6149ef4fa57343f073dbde38/raw/359cb6228e2ba4c6be8652de2679e31a5d0085b2/publishing.ipynb	4779
14e1115b6dd15e863326209c9492c327	ww-roles.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/14e1115b6dd15e863326209c9492c327/raw/76e2ad14d2f7164ffc7b2b8d6ec8d2514b9fcd72/ww-roles.ipynb	7770
e7dd7ff3d808d57b77e9765626a73a91	testing-notebooks.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e7dd7ff3d808d57b77e9765626a73a91/raw/1b189bb50f4ad8788cf38a894380461baadc1a53/testing-notebooks.md.ipynb	1399459
a9bb09cb019e201ed95b76a6f558a106	copy-pasta-trick.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/a9bb09cb019e201ed95b76a6f558a106/raw/8ffc6a68e477660a6d48c19730d5bc756a3ae08b/copy-pasta-trick.ipynb	654769
82e8b9744c139a63febb1a3280e91cec	collection-ouputs.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/82e8b9744c139a63febb1a3280e91cec/raw/e57eac0cafc8e475e8d75dd0f465b5fc153583e6/collection-ouputs.ipynb	186568
82e8b9744c139a63febb1a3280e91cec	gcal-sux.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/82e8b9744c139a63febb1a3280e91cec/raw/a51e9b4b92ecedc4800a4cd1998f25271af1629a/gcal-sux.ipynb	222588
82e8b9744c139a63febb1a3280e91cec	pluck-attachments.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/82e8b9744c139a63febb1a3280e91cec/raw/41d9735b467a4e172b78a98acfcd51df633f2080/pluck-attachments.ipynb	4843
203fee00e29fadaaa0604e915eb7a8f6	all-the-displays.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/203fee00e29fadaaa0604e915eb7a8f6/raw/9794f57a57ec6f831f73cf18e3f761fd1a552216/all-the-displays.md.ipynb	6664
203fee00e29fadaaa0604e915eb7a8f6	mimemediatypes.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/203fee00e29fadaaa0604e915eb7a8f6/raw/eaf542286665bfc852acbae9dbb70bb4638f722d/mimemediatypes.md.ipynb	653575
203fee00e29fadaaa0604e915eb7a8f6	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/203fee00e29fadaaa0604e915eb7a8f6/raw/01a81c32c80c5a397a7963bba831eb088e2b9940/readme.md	125
203fee00e29fadaaa0604e915eb7a8f6	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/203fee00e29fadaaa0604e915eb7a8f6/raw/2a8766e97919219fa1b9e20cbab5f2d3bef93976/requirements.txt	297
f53d109fffe1e46b90cd2da8ce322f45	hyper-collage.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/f53d109fffe1e46b90cd2da8ce322f45/raw/49cf4de9db77a5b7d1e186e81fb0ed40c6bfcd52/hyper-collage.ipynb	17544796
5f17546e574531159c3ad6ecc889c45f	modes.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/5f17546e574531159c3ad6ecc889c45f/raw/7e67dd7f3a1121c057eb6a7610d127d98a446324/modes.md.ipynb	670642
053564797743b7fbbaa6e421fd2b059d	emoji.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/053564797743b7fbbaa6e421fd2b059d/raw/3d8cf4ff076321c3aff8769808613dc40ad2fada/emoji.md.ipynb	50379
8f2e5f2afa1f85acdacef2a81a14e571	modes.md.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/8f2e5f2afa1f85acdacef2a81a14e571/raw/d95ae86b8f617361e24fce2d0aa56b9b1c9aaeff/modes.md.ipynb	669895
2d356ded4dfe1ba263e829cb11c5dfc7	about-schema.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/2d356ded4dfe1ba263e829cb11c5dfc7/raw/dfae9db1bfa3ea09218600e0f568e0d2a7ae7b4e/about-schema.ipynb	31488
405e3ec4f800fbc9d2b0a142ef4d4b10	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/405e3ec4f800fbc9d2b0a142ef4d4b10/raw/9306175c2fc31f0a4ac88722b27c38e1795bdf2d/readme.md	110
405e3ec4f800fbc9d2b0a142ef4d4b10	utterance.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/405e3ec4f800fbc9d2b0a142ef4d4b10/raw/31f56a74537bbbc25ea14e622cfd6d14b54cb263/utterance.ipynb	5950
04f2caed49085783037b6cf0ab24b84e	rich-displays.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/04f2caed49085783037b6cf0ab24b84e/raw/a3bdc9b89f2a00defeaafcdcfdef35a8cbbe7e8a/rich-displays.ipynb	44908
37a13eee3d0936013e393f3ffd83c90f	outlining.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/37a13eee3d0936013e393f3ffd83c90f/raw/26868cc73df6daa6c57062e79e7dee12f65d9c25/outlining.ipynb	7903
e4e11f53b34c957436d7f64319c8e05c	outlining.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e4e11f53b34c957436d7f64319c8e05c/raw/08244fd8dda3772be7e8ad014ea177d97f732a04/outlining.ipynb	7296
16d3bc82d69890949212b46040bd86e1	embed-rdf.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/16d3bc82d69890949212b46040bd86e1/raw/cec39befb4d8b1730b179b836c8cfbdc8fa22b77/embed-rdf.ipynb	13345
00cf40ccbddccca6b5eddb94bfcc6389	expand-compact-trivial.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/00cf40ccbddccca6b5eddb94bfcc6389/raw/9ada84ae5a7463b84a2e6b9304d5fdeb7f13dc78/expand-compact-trivial.ipynb	3006
eb60d7d650a6b4a6e626678a34465e66	gistsssss.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/eb60d7d650a6b4a6e626678a34465e66/raw/eea7526787ab1f46796f5351d649f4cf46611b2a/gistsssss.ipynb	73496
7a640121acfdea3f0e31b0bd9e243104	template-magic.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/7a640121acfdea3f0e31b0bd9e243104/raw/01c2d5a70af25b6347fbf94c9f17ef91f48fb9ac/template-magic.ipynb	9326
3440a5b4c19a257d6164fff93fbef154	magics.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/3440a5b4c19a257d6164fff93fbef154/raw/0147c878a329e1eb76aa743d279cb5dfc1b2b902/magics.ipynb	12759
e0b700b7c620788226b434f2571d5421	data-eng.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e0b700b7c620788226b434f2571d5421/raw/4d7d4b6b55842a78df5469b52b3976ce1f9b042f/data-eng.ipynb	47427
e0b700b7c620788226b434f2571d5421	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/e0b700b7c620788226b434f2571d5421/raw/2151364bea8260d7f85e00b2e09459891883872d/readme.md	125
e0b700b7c620788226b434f2571d5421	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/e0b700b7c620788226b434f2571d5421/raw/f1c56b8472a713051137ea593c0bfd732dea686a/requirements.txt	30
621994692678591362bf44fd64992620	get-weird.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/621994692678591362bf44fd64992620/raw/193fcb122fca4c1bffde22d8a97a366290a5f6c2/get-weird.ipynb	7756
bc807b3a52681953544e0f0e38fdb002	tables.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/bc807b3a52681953544e0f0e38fdb002/raw/3343758f3dbd5399e4e1e564d0b16a11c92c46b8/tables.ipynb	36483
00faf2496cc79955b9c5482f1d27626d	sssssearch.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/00faf2496cc79955b9c5482f1d27626d/raw/c1ff108cd35cd4c9a1c15425ce24ef1165a03c21/sssssearch.ipynb	9755
145b5d543a2aee4b569fa6444cd0a4f9	nbdask.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/145b5d543a2aee4b569fa6444cd0a4f9/raw/398d66f95c240eb5b1d1e54b730d21ea97aafa79/nbdask.ipynb	22580
0ac1fbf346a73e6204ae721205f60736	dodo.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/0ac1fbf346a73e6204ae721205f60736/raw/73bb01b0a4ced906f9503693b02d84f12a1d7419/dodo.py	703
3181cb04cad6e16a2add26c646893db7	moi.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/3181cb04cad6e16a2add26c646893db7/raw/71ccf042b3dd622e4d58afe5e6a10813dce60809/moi.ipynb	4814
edf3e7dcc7302203611600eba8b6f32c	moi.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/edf3e7dcc7302203611600eba8b6f32c/raw/c04c441ddad11b86523dc7b75d0dcafac3203527/moi.ipynb	4814
28eaf9fc8da67c8d9941bba48c66471c	nox-magic.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/28eaf9fc8da67c8d9941bba48c66471c/raw/124c681990252968854d21cc3be43977cea4ab5a/nox-magic.ipynb	8936
89fd5090a964b565e2575e50fd51744f	nox-magic.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/89fd5090a964b565e2575e50fd51744f/raw/86f2dd8fe6d5a94f3b3fb5d5b89c13c897374521/nox-magic.ipynb	8072
dfdcb0e4d49ed5f3f0e15b36a5a81076	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/dfdcb0e4d49ed5f3f0e15b36a5a81076/raw/0e73bce9e2cf1232425302640f7f8fcfc9504d21/readme.md	142
54e95a64de8a959f83f8443710ff53d1	2021-binder-is-the-best.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/54e95a64de8a959f83f8443710ff53d1/raw/5d5420762f49f91046279281e43dc10ce68409e2/2021-binder-is-the-best.ipynb	98684
54e95a64de8a959f83f8443710ff53d1	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/54e95a64de8a959f83f8443710ff53d1/raw/a5768992004dfc9efdd1d3a0e9b9ebc2c652b05b/requirements.txt	41
196c9aae8d51434c138722687e718364	details-summary.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/196c9aae8d51434c138722687e718364/raw/7e5c47ce6ac7485b616d7976c5e4d5bfe94439f9/details-summary.ipynb	760568
196c9aae8d51434c138722687e718364	index.html	text/html	HTML	https://gist.githubusercontent.com/tonyfast/196c9aae8d51434c138722687e718364/raw/1928af7a56557127621e3bd4724ce4f8e6f2abf3/index.html	568747
b401b771b76587a71403fff9f77c0395	shapeshifter.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/b401b771b76587a71403fff9f77c0395/raw/7a067b1e87315db6b03779f23af439aef25757da/shapeshifter.ipynb	15834
6114098c8a6352a2d6f05ecfd52c1b8d	binderlytics-post.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/6114098c8a6352a2d6f05ecfd52c1b8d/raw/30d341a05e2c8e21b6c1ac7bf55be104ed0a771d/binderlytics-post.ipynb	93844
e5cd62b247d780ec32026032e984776d	np.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e5cd62b247d780ec32026032e984776d/raw/da0b0b6c393f2ebd52df363f05ad50fc2612fa7a/np.ipynb	1847
e5cd62b247d780ec32026032e984776d	numpy.json	application/json	JSON	https://gist.githubusercontent.com/tonyfast/e5cd62b247d780ec32026032e984776d/raw/34541fabd3a9e7f4a77a3c78a92a407e56d5f445/numpy.json	919753
e5cd62b247d780ec32026032e984776d	requirements.txt	text/plain	None	https://gist.githubusercontent.com/tonyfast/e5cd62b247d780ec32026032e984776d/raw/1411a4a0b5ab886adfb744e685d150151ab10023/requirements.txt	6
602c1665507771385b662a800a4126a4	axe-numfocus-audit.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/602c1665507771385b662a800a4126a4/raw/5d040a75081d1a3e3997af89b6ab6e151984a8ad/axe-numfocus-audit.ipynb	8302
c877b7ae570781a4b16277b900f22ab2	indented-parser.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/c877b7ae570781a4b16277b900f22ab2/raw/0cc6e81c1a30b9034bfdb5cad2352a868c0e99cb/indented-parser.ipynb	2667
a7b5df83f99fa6ff5d7fd025046484d0	programming-computing.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/a7b5df83f99fa6ff5d7fd025046484d0/raw/0317c3350ac29d08059bd4a8071b22f45963b736/programming-computing.ipynb	33243
707ea716d9d413feef184e7bdbb67a93	lines-nb-format.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/707ea716d9d413feef184e7bdbb67a93/raw/f43245fdd28c4e1eb124759a958233e4ab4f550c/lines-nb-format.ipynb	14797
1b94f9b82b10edceb4708e4d97a2958f	pa11y-devdocs.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/1b94f9b82b10edceb4708e4d97a2958f/raw/cb54995b7ad610491e04cf8bc79d5375c5be38fa/pa11y-devdocs.ipynb	9854
430faaf87c6d3607d80ec29cc7049043	2021-testing-in-notebooks.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/430faaf87c6d3607d80ec29cc7049043/raw/d34b8fd3a7dbd02e5aac5f20eabd82d1151cffea/2021-testing-in-notebooks.ipynb	17664
430faaf87c6d3607d80ec29cc7049043	README.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/430faaf87c6d3607d80ec29cc7049043/raw/4904ec133ec71fb4827e06c6e260d01ccf4fef4b/README.md	105
e48532414d0c46988369a6fc46182e93	gistfile1.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/e48532414d0c46988369a6fc46182e93/raw/ab12993d0280646ec679cfebcdb2f5c53465222c/gistfile1.txt	201
b617e4f87337a50e1361ab043b53c2c7	2021-testing-in-notebooks.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/b617e4f87337a50e1361ab043b53c2c7/raw/6f110d536250c2c1f5594e6a089343a195c31932/2021-testing-in-notebooks.ipynb	16488
e2fc3098da00a449a7fe7e5f3a76f773	rich_displays.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e2fc3098da00a449a7fe7e5f3a76f773/raw/296d53fe82381675619854155d0f75eef7dcdd07/rich_displays.ipynb	30934
e7b07e836137c8f4a24753c8a9e34048	rich_schemata.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e7b07e836137c8f4a24753c8a9e34048/raw/5cefa9bdfc6b419c8348336b8e77abe04fedd151/rich_schemata.ipynb	8338
a6f0fd0da7b0ab08c525ebbf1e71cf9e	test_appy.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/a6f0fd0da7b0ab08c525ebbf1e71cf9e/raw/48641ade3797ad7533a54bd3fe4b156d42a1ef91/test_appy.py	724
da051bfa3f53a75af1b3590b6b2cb578	jmes.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/da051bfa3f53a75af1b3590b6b2cb578/raw/aaa9928d9ac7e7c811f11e9c721845a2eb2e094c/jmes.ipynb	3535
c5a731da3c38433a265d0017342bd818	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/c5a731da3c38433a265d0017342bd818/raw/23b2de551b1ede1a4728f19a4e2e187c15a134df/requirements.txt	11
c82f5433545ab189b80720cde27d4cf0	app.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/c82f5433545ab189b80720cde27d4cf0/raw/f332750554d455d9d31a2d5670e60c3948d4262b/app.py	2868
656b6bcf15dedbeee5dcadd527c68b4d	small_program.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/656b6bcf15dedbeee5dcadd527c68b4d/raw/b8ebd08b60fcb79e785857d6d21554836e6e99a3/small_program.py	216
126d1d6a9f6f8e9da620ebc2ebf36efb	test.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/126d1d6a9f6f8e9da620ebc2ebf36efb/raw/726b4472e79a7c1cb1e4f7eed532e9fb866d14f5/test.py	2466
e0f3ae7d3669f1e64254f4817d48e3b5	multipledispatch.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/e0f3ae7d3669f1e64254f4817d48e3b5/raw/a012b674ea6fa23398f951740afd4333a04406c0/multipledispatch.py	2750
53f57f73b6cf0f0097ba32228404ce56	gistfile1.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/53f57f73b6cf0f0097ba32228404ce56/raw/ea044afd45aa05f856393b1f32507532a5d7d3c0/gistfile1.txt	112
a92ab263c44036d0ea91d62ae4ed1602	rdfstuff.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/a92ab263c44036d0ea91d62ae4ed1602/raw/a3a97280286cc3bdb28fd29bc88ce6eea60f76c7/rdfstuff.py	23162
ee8eaa20501ddefe346a12ae27abc628	notebook-with-meaning.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/ee8eaa20501ddefe346a12ae27abc628/raw/9a67b83349d120b46275ec64e32d617e7cf7ce27/notebook-with-meaning.ipynb	12632
bfe7b1babfc42f6418e1cab7ab734e8f	Datalegreya.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/bfe7b1babfc42f6418e1cab7ab734e8f/raw/266ec28877a8b1fceea16fbf7036f964c2a786a1/Datalegreya.ipynb	3551479
898382be9d805b50b47cf5490474a719	test_dgaf-Copy1.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/898382be9d805b50b47cf5490474a719/raw/165a069fff9057969c748e39065152d38e3a3258/test_dgaf-Copy1.ipynb	22156
cfc07157d728029b8fb6b3122681c825	noxfile.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/cfc07157d728029b8fb6b3122681c825/raw/5d4bebde7ab42214627e30fba4afcecee5629de7/noxfile.py	462
2075d26303eb9e556f44a9f11c2a9f71	forge-assets.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/2075d26303eb9e556f44a9f11c2a9f71/raw/afd0e42419aabbebb66fc1c8ae20f410408cfcaf/forge-assets.ipynb	145602
745132fbaeddde27a882716d04f71d42	miniforge.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/745132fbaeddde27a882716d04f71d42/raw/8105b8ef575cbac2db7238e2d825f2ca0ddfba37/miniforge.ipynb	5396
7c6f96d65cf4a9159a293159b138c2a2	requirements-df.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/7c6f96d65cf4a9159a293159b138c2a2/raw/33a46989ab5b3ecc6a5399f9835333e27101f6de/requirements-df.ipynb	9061
3d335e1da911f31930070a107c927b1d	nono.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/3d335e1da911f31930070a107c927b1d/raw/f533f0dcc1d34e748193fa59a14004a5da38d3a3/nono.ipynb	11832
2169468ba38cb5cc033d0ef11afb5a84	better.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/2169468ba38cb5cc033d0ef11afb5a84/raw/04ef5a1a835725566c9681f4908a85e0bec41079/better.py	265
2169468ba38cb5cc033d0ef11afb5a84	discover-tests.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/2169468ba38cb5cc033d0ef11afb5a84/raw/2a55ea8f03efd960d932f35de41c22b6798cbf77/discover-tests.ipynb	2837
bacfb0c2d81b1ceba7794385a7882049	nox-in-the-notebook.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/bacfb0c2d81b1ceba7794385a7882049/raw/9fa1a0289e1e9442e67eba4957effb607eb38bdf/nox-in-the-notebook.ipynb	3480
044ded6a7acadc56430e8d36c1f77cb6	_.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/044ded6a7acadc56430e8d36c1f77cb6/raw/d34cb846ad45a1c72796e67ab082d1685c8d540c/_.py	335
56fc6cab7e7ce145c963d9312da295df	typer-chain.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/56fc6cab7e7ce145c963d9312da295df/raw/d656a290782dc4ea5f3e720a9ecf240dd2308d58/typer-chain.ipynb	3736
56fc6cab7e7ce145c963d9312da295df	typer-doit.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/56fc6cab7e7ce145c963d9312da295df/raw/9416d9a7b44c9dc4a24bcf0fdd7002ceeb17e7e1/typer-doit.ipynb	6072
f74eb42f2a998d8e428a752ceb0cb1d1	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/f74eb42f2a998d8e428a752ceb0cb1d1/raw/451a78031441fa27d52c76b1b7fb41ddc153e2a8/readme.md	1697
7c6fbc36df87ef7c90bdfdca038e8f2e	2020-11-09-dgaf.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/7c6fbc36df87ef7c90bdfdca038e8f2e/raw/029a0f06265805f95205d25af4ac66d0bf31e866/2020-11-09-dgaf.ipynb	3449
520e34998e3040d1fcda740543d7d6e0	dodo.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/520e34998e3040d1fcda740543d7d6e0/raw/bdf785eb90006a8f60c476ddc6931b03578f4a6a/dodo.py	211
520e34998e3040d1fcda740543d7d6e0	gcxs_blogpost.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/520e34998e3040d1fcda740543d7d6e0/raw/74e30352fe4bc0876261019acbd7b45f922d5e7d/gcxs_blogpost.ipynb	370084
520e34998e3040d1fcda740543d7d6e0	postBuild	text/plain	None	https://gist.githubusercontent.com/tonyfast/520e34998e3040d1fcda740543d7d6e0/raw/0f9b1b97803c123125a9885e89ffbc6974e2d83f/postBuild	9
520e34998e3040d1fcda740543d7d6e0	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/520e34998e3040d1fcda740543d7d6e0/raw/f984fb2daa2642e014227c92ed86cf64275f6094/requirements.txt	101
56db68b91e395c14a9fd8e0ea8cb024e	gists_sqlite.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/56db68b91e395c14a9fd8e0ea8cb024e/raw/cfd66afe82a3f12a9d990293ab91262f9f303de2/gists_sqlite.ipynb	14877
56db68b91e395c14a9fd8e0ea8cb024e	postBuild	text/plain	None	https://gist.githubusercontent.com/tonyfast/56db68b91e395c14a9fd8e0ea8cb024e/raw/daebc2422b7aa95f8d94aad58764b621c6066b75/postBuild	68
f5e6d43ba1704482e13c0209c9987691	readme.md	text/markdown	Markdown	https://gist.githubusercontent.com/tonyfast/f5e6d43ba1704482e13c0209c9987691/raw/a36b8191d8c852d599aac00aa2592eb007b2dbf1/readme.md	133
f5e6d43ba1704482e13c0209c9987691	requirements.txt	text/plain	Text	https://gist.githubusercontent.com/tonyfast/f5e6d43ba1704482e13c0209c9987691/raw/89745d1bfa43f1fcb2cf18de941cbedaf54e24da/requirements.txt	90
f5e6d43ba1704482e13c0209c9987691	rich-template.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/f5e6d43ba1704482e13c0209c9987691/raw/defaef05ba945df01d7c0d846c8bfeb40d1f8960/rich-template.ipynb	119962
193202c1a41c57bb98a617e34486ac53	Untitled6.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/193202c1a41c57bb98a617e34486ac53/raw/76a9251acb5fce52c46a7b460ba8c7a3eeed7b5c/Untitled6.ipynb	109382
ccb1134bbbcf63a59620dfaa716a1136	ics_example.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/ccb1134bbbcf63a59620dfaa716a1136/raw/c685efe139e80e91a76e00ddd6564451137e5e31/ics_example.ipynb	3734
a699b67a4c6625a6c0b4eb7eb06d3bff	states.py	application/x-python	Python	https://gist.githubusercontent.com/tonyfast/a699b67a4c6625a6c0b4eb7eb06d3bff/raw/431e56db9101d59d141dd1c3edb26d0f9269fccc/states.py	1440
a699b67a4c6625a6c0b4eb7eb06d3bff	test_states.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/a699b67a4c6625a6c0b4eb7eb06d3bff/raw/ec7a224d1e8285ddf735efdbd858480a2267ec5a/test_states.ipynb	3294
cfb55f41f5452ef33ec6fbb4e0bda991	doctest-myst.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/cfb55f41f5452ef33ec6fbb4e0bda991/raw/3697d760910ffb2fc89401f6e5d3c3a1e1e3a05d/doctest-myst.ipynb	5731
357b09758b5fb0f31fd2c0e7f7cf3967	readme.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/357b09758b5fb0f31fd2c0e7f7cf3967/raw/c235fb0dc11c8520feef0832f3bd3c46b859c462/readme.ipynb	1117725
e0468f0decb0a454d8fae4de8511d794	df-df-api.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/e0468f0decb0a454d8fae4de8511d794/raw/111caa6166c7c1811b876980c99b12d349fddf22/df-df-api.ipynb	22500
292377ff60690bff0bf866e93a36eaf2	reprish.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/292377ff60690bff0bf866e93a36eaf2/raw/fd37cfabd5d17ff91b94ec883c6acbb635eac8d7/reprish.ipynb	6115
c72d948631f3d38702d2876942ceb57e	custom_repr.ipynb	text/plain	Jupyter Notebook	https://gist.githubusercontent.com/tonyfast/c72d948631f3d38702d2876942ceb57e/raw/984af994a51abbb97efd655dd79b168b81fcafbd/custom_repr.ipynb	62577

we were curious about the verbosity of the aria sort buttons. so we made a table with less columns to see if that was the culprit, but we left with future exploration to do.

    files[["filename"]].style.set_caption(
        "a table with two columns to test the sorting buttons"
    )

a table with two columns to test the sorting buttons
	filename
id
90c41d4994f75c594db804aeba56fc26	first_and_second_laws_of_thermodynamics.ipynb
aa3b16c5a284150e3d727a843b6cefec	axe_types.py
713ae6c57602c0f85d011421b20d5ea0	BinaryExamples.ipynb
c004044b4fe641735031ecf2069cf595	aom.json
e17946facd998a931527467d646cc822	README.md
99303420edc6021bbeeaa96c522469a1	ummm.py
c8e19ffb2b85f5bf6f5a4b6e76c327cd	abc.py
4e33098a9f3a50805ad99d08e96825a6	graph shit.py
243d7758d659c406f6e12cbd7b045384	hide_empty_outputs.html
42612252e0ed0df02f811932becd8241	2022-12-01-1.ipynb
abc7748fcc84177b59156d156132aabb	lua.py
d9842e69957895a883203101d32053c5	2022-09-18-static-notebook-tags.ipynb
d3aa6592100eb30d7ec9efcb3b3efb06	details-summary.ipynb
146153f37825c9a0d078027c141823c5	2022-08-05-iris-demo.ipynb
ef00eeb40ce268ff68cc7d606437ac6c	nbval triggers
1172d78b9a9a9738c8be759d304220e4	2022-07-17-shebang-magic.ipynb
3006d326442a9f4dd2ba61370cc2d37e	2022-07-16-larknb.ipynb
3006d326442a9f4dd2ba61370cc2d37e	_snippet.py
d8ed2e33c5f70ad3b8340d4cf6cace21	2022-07-16-list-of-urls-py-md.ipynb
6c236af7dcaa87fc012f31b720575dd7	2022-06-28-.ipynb
1ddcdce4eab431a8227be352d4c5a57b	2021-12-15-a11y-highlights.md.ipynb
df99b18e240d43c8b966aeb0a6e5a0d8	2021-12-15-a11y-highlights.md.ipynb
4cec811eb02f0107dc77f7da564657a2	2021-12-15-a11y-highlights.md.ipynb
bec93ba06cb420d58db3b1a4656e05b7	2021-12-15-a11y-highlights.md.ipynb
121f22a609d142992bf081bda7a875f7	2021-10-13-gannt.ipynb
e2cae138e4bb043cd277709ff45ba8a3	2021-10-11-colorizing.ipynb
f34f1fc4454de5e61b6ed55a6736071c	2021-10-08-distributions-dataframe.ipynb
0d5cbee1f3b4aac205e9ddd407d0f4dc	2021-10-03-pd-calendar.ipynb
0d5cbee1f3b4aac205e9ddd407d0f4dc	requirements.txt
cf3a246202f177500d47146303bdc235	2021-10-01-drum-machine.ipynb
cf3a246202f177500d47146303bdc235	requirements.txt
d68fbc171ebe00055225e97472ef91d2	2021-09-27-doit-widget.ipynb
d68fbc171ebe00055225e97472ef91d2	requirements.txt
3e259e5033c7a284016cae9382d84415	2021-09-20-pandas-one-liner.ipynb
378c801a3a80e61be39022acaab6331d	2021-09-08-traceback-format.ipynb
1be9012678ecad1cea26514ad7cf709e	jupyter_config.py
1be9012678ecad1cea26514ad7cf709e	readme.md
279bdf4430e8ed55bcbb0064877dc066	editting.ipynb
d01a0248979b21c9484d0827e04c0e68	generate-alt-text.ipynb
359ed1f7d2df21d9e79c0f996f795d57	style.ipynb
0c0b11c8e69bc8d38611ec6ac1fddbd2	readyou.ipynb
0c0b11c8e69bc8d38611ec6ac1fddbd2	tbone.md.ipynb
eadf27c67451b4b683e29b0c891b035e	uritemplates.ipynb
0035d132c0c9162de4b3e66e3d596334	suggest-changes-pr.ipynb
cbeb91729e94c785f6c50c6c434455f0	doit-requires.ipynb
bd97099fb9f932a6402e5c6161f14748	arrays.ipynb
bd97099fb9f932a6402e5c6161f14748	readme.md
c040b39d6149ef4fa57343f073dbde38	publishing.ipynb
14e1115b6dd15e863326209c9492c327	ww-roles.ipynb
e7dd7ff3d808d57b77e9765626a73a91	testing-notebooks.md.ipynb
a9bb09cb019e201ed95b76a6f558a106	copy-pasta-trick.ipynb
82e8b9744c139a63febb1a3280e91cec	collection-ouputs.ipynb
82e8b9744c139a63febb1a3280e91cec	gcal-sux.ipynb
82e8b9744c139a63febb1a3280e91cec	pluck-attachments.ipynb
203fee00e29fadaaa0604e915eb7a8f6	all-the-displays.md.ipynb
203fee00e29fadaaa0604e915eb7a8f6	mimemediatypes.md.ipynb
203fee00e29fadaaa0604e915eb7a8f6	readme.md
203fee00e29fadaaa0604e915eb7a8f6	requirements.txt
f53d109fffe1e46b90cd2da8ce322f45	hyper-collage.ipynb
5f17546e574531159c3ad6ecc889c45f	modes.md.ipynb
053564797743b7fbbaa6e421fd2b059d	emoji.md.ipynb
8f2e5f2afa1f85acdacef2a81a14e571	modes.md.ipynb
2d356ded4dfe1ba263e829cb11c5dfc7	about-schema.ipynb
405e3ec4f800fbc9d2b0a142ef4d4b10	readme.md
405e3ec4f800fbc9d2b0a142ef4d4b10	utterance.ipynb
04f2caed49085783037b6cf0ab24b84e	rich-displays.ipynb
37a13eee3d0936013e393f3ffd83c90f	outlining.ipynb
e4e11f53b34c957436d7f64319c8e05c	outlining.ipynb
16d3bc82d69890949212b46040bd86e1	embed-rdf.ipynb
00cf40ccbddccca6b5eddb94bfcc6389	expand-compact-trivial.ipynb
eb60d7d650a6b4a6e626678a34465e66	gistsssss.ipynb
7a640121acfdea3f0e31b0bd9e243104	template-magic.ipynb
3440a5b4c19a257d6164fff93fbef154	magics.ipynb
e0b700b7c620788226b434f2571d5421	data-eng.ipynb
e0b700b7c620788226b434f2571d5421	readme.md
e0b700b7c620788226b434f2571d5421	requirements.txt
621994692678591362bf44fd64992620	get-weird.ipynb
bc807b3a52681953544e0f0e38fdb002	tables.ipynb
00faf2496cc79955b9c5482f1d27626d	sssssearch.ipynb
145b5d543a2aee4b569fa6444cd0a4f9	nbdask.ipynb
0ac1fbf346a73e6204ae721205f60736	dodo.py
3181cb04cad6e16a2add26c646893db7	moi.ipynb
edf3e7dcc7302203611600eba8b6f32c	moi.ipynb
28eaf9fc8da67c8d9941bba48c66471c	nox-magic.ipynb
89fd5090a964b565e2575e50fd51744f	nox-magic.ipynb
dfdcb0e4d49ed5f3f0e15b36a5a81076	readme.md
54e95a64de8a959f83f8443710ff53d1	2021-binder-is-the-best.ipynb
54e95a64de8a959f83f8443710ff53d1	requirements.txt
196c9aae8d51434c138722687e718364	details-summary.ipynb
196c9aae8d51434c138722687e718364	index.html
b401b771b76587a71403fff9f77c0395	shapeshifter.ipynb
6114098c8a6352a2d6f05ecfd52c1b8d	binderlytics-post.ipynb
e5cd62b247d780ec32026032e984776d	np.ipynb
e5cd62b247d780ec32026032e984776d	numpy.json
e5cd62b247d780ec32026032e984776d	requirements.txt
602c1665507771385b662a800a4126a4	axe-numfocus-audit.ipynb
c877b7ae570781a4b16277b900f22ab2	indented-parser.ipynb
a7b5df83f99fa6ff5d7fd025046484d0	programming-computing.ipynb
707ea716d9d413feef184e7bdbb67a93	lines-nb-format.ipynb
1b94f9b82b10edceb4708e4d97a2958f	pa11y-devdocs.ipynb
430faaf87c6d3607d80ec29cc7049043	2021-testing-in-notebooks.ipynb
430faaf87c6d3607d80ec29cc7049043	README.md
e48532414d0c46988369a6fc46182e93	gistfile1.txt
b617e4f87337a50e1361ab043b53c2c7	2021-testing-in-notebooks.ipynb
e2fc3098da00a449a7fe7e5f3a76f773	rich_displays.ipynb
e7b07e836137c8f4a24753c8a9e34048	rich_schemata.ipynb
a6f0fd0da7b0ab08c525ebbf1e71cf9e	test_appy.py
da051bfa3f53a75af1b3590b6b2cb578	jmes.ipynb
c5a731da3c38433a265d0017342bd818	requirements.txt
c82f5433545ab189b80720cde27d4cf0	app.py
656b6bcf15dedbeee5dcadd527c68b4d	small_program.py
126d1d6a9f6f8e9da620ebc2ebf36efb	test.py
e0f3ae7d3669f1e64254f4817d48e3b5	multipledispatch.py
53f57f73b6cf0f0097ba32228404ce56	gistfile1.txt
a92ab263c44036d0ea91d62ae4ed1602	rdfstuff.py
ee8eaa20501ddefe346a12ae27abc628	notebook-with-meaning.ipynb
bfe7b1babfc42f6418e1cab7ab734e8f	Datalegreya.ipynb
898382be9d805b50b47cf5490474a719	test_dgaf-Copy1.ipynb
cfc07157d728029b8fb6b3122681c825	noxfile.py
2075d26303eb9e556f44a9f11c2a9f71	forge-assets.ipynb
745132fbaeddde27a882716d04f71d42	miniforge.ipynb
7c6f96d65cf4a9159a293159b138c2a2	requirements-df.ipynb
3d335e1da911f31930070a107c927b1d	nono.ipynb
2169468ba38cb5cc033d0ef11afb5a84	better.py
2169468ba38cb5cc033d0ef11afb5a84	discover-tests.ipynb
bacfb0c2d81b1ceba7794385a7882049	nox-in-the-notebook.ipynb
044ded6a7acadc56430e8d36c1f77cb6	_.py
56fc6cab7e7ce145c963d9312da295df	typer-chain.ipynb
56fc6cab7e7ce145c963d9312da295df	typer-doit.ipynb
f74eb42f2a998d8e428a752ceb0cb1d1	readme.md
7c6fbc36df87ef7c90bdfdca038e8f2e	2020-11-09-dgaf.ipynb
520e34998e3040d1fcda740543d7d6e0	dodo.py
520e34998e3040d1fcda740543d7d6e0	gcxs_blogpost.ipynb
520e34998e3040d1fcda740543d7d6e0	postBuild
520e34998e3040d1fcda740543d7d6e0	requirements.txt
56db68b91e395c14a9fd8e0ea8cb024e	gists_sqlite.ipynb
56db68b91e395c14a9fd8e0ea8cb024e	postBuild
f5e6d43ba1704482e13c0209c9987691	readme.md
f5e6d43ba1704482e13c0209c9987691	requirements.txt
f5e6d43ba1704482e13c0209c9987691	rich-template.ipynb
193202c1a41c57bb98a617e34486ac53	Untitled6.ipynb
ccb1134bbbcf63a59620dfaa716a1136	ics_example.ipynb
a699b67a4c6625a6c0b4eb7eb06d3bff	states.py
a699b67a4c6625a6c0b4eb7eb06d3bff	test_states.ipynb
cfb55f41f5452ef33ec6fbb4e0bda991	doctest-myst.ipynb
357b09758b5fb0f31fd2c0e7f7cf3967	readme.ipynb
e0468f0decb0a454d8fae4de8511d794	df-df-api.ipynb
292377ff60690bff0bf866e93a36eaf2	reprish.ipynb
c72d948631f3d38702d2876942ceb57e	custom_repr.ipynb