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Anthony Stirling
2025-11-09 12:43:33 +00:00
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# Type3 Signature Inventory
_Generated from `docs\type3\signatures`. Run `scripts/summarize_type3_signatures.py` after capturing new samples._
## Alias: `cmex10`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:bdff85a28d968fea7fbffcf4869b1a28bdd7eb8b73230a016b41bdcbe28de94b` | `01_Matplotlib.pdf` | 1 | 90 |
## Alias: `cmmi10`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:6c72170517812e39f970746f53a2ae08dafbbe7374c20bcb4d5a60adc49cb77b` | `01_Matplotlib.pdf` | 2 | 100, 120 |
## Alias: `cmr10`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:5b535a05c982fb8ff029dfbedd5e9d28c1c4379ebac259d207f65606a94e5b15` | `01_Matplotlib.pdf` | 3 | 48, 49, 53 |
## Alias: `cmsy10`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:1324cd8127143ef9023616b7911c570db3b1eb35758cdc9258ec16c0f4587775` | `01_Matplotlib.pdf` | 1 | 48 |
| `sha256:2832e219b2db3bacf0d5a147d4b74ad5226fdf7562c395ef3fb12937633e037d` | `01_Matplotlib.pdf` | 1 | 8734 |
## Alias: `dejavusans`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:2be58b6ef1e29a83b8634d70b9e32c37a15dea2e608894439ef7224c35b77f5d` | `01_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 53, 55 |
| `sha256:994c963d70041eee141fd275fa22c525a71283de2b4a952814d02e0bbfa8caea` | `01_Matplotlib.pdf` | 4 | 46, 48, 49, 53 |
| `sha256:93573cb1ab32b9cb09378298fb120de079f6a309908d2ee86f91392a6aba5c31` | `01_Matplotlib.pdf` | 30 | 32, 45, 48, 49, 50, 51, 52, 53, 54, 55 |
| `sha256:4febfad91e0141f9658506a0bf8fc2a449f0ea7d97b44e95fc9a970c77af4b0a` | `01_Matplotlib.pdf` | 7 | 48, 49, 50, 51, 52, 53, 54 |
| `sha256:0386e5811612ba4b998d57cd3869d7fbc48092a79d436deda774af107a4af813` | `01_Matplotlib.pdf` | 9 | 46, 48, 49, 50, 51, 52, 53, 54, 55 |
| `sha256:b95fa2a272cbc950b81320790d04fcf19ebb24050fa2139ba6a474172cac596b` | `01_Matplotlib.pdf` | 20 | 32, 40, 41, 48, 50, 52, 54, 56, 83, 85 |
| `sha256:d034d16ac69e3e1c5008e77c4c24dc3179308a2742601e89d5c8ab327e4040dd` | `01_Matplotlib.pdf` | 15 | 43, 48, 49, 50, 51, 56, 61, 97, 98, 105 |
| `sha256:85e16e36ed0290c149647be7e468a7c46e7b66fd290131213040f7bad905aa44` | `01_Matplotlib.pdf` | 25 | 32, 45, 46, 48, 49, 50, 52, 53, 54, 56 |
| `sha256:85e16e36ed0290c149647be7e468a7c46e7b66fd290131213040f7bad905aa44` | `01_Matplotlib.pdf` | 25 | 32, 45, 46, 48, 49, 50, 52, 53, 54, 56 |
| `sha256:3654d4d9bcbbf6ad51628082203094069a17aad3a5e6f5c7972833566e42ab6b` | `01_Matplotlib.pdf` | 29 | 32, 46, 48, 49, 50, 51, 52, 53, 54, 55 |
| `sha256:d0c6cddc416d130701395246621a0f669fc292df4097a7a74395602faf4475df` | `01_Matplotlib.pdf` | 17 | 48, 49, 53, 97, 100, 101, 102, 103, 105, 108 |
| `sha256:cadf43a2df81340368af44c76b499223931d78dcc76c70cf4b4a93d133e368af` | `01_Matplotlib.pdf` | 27 | 32, 46, 48, 49, 50, 52, 54, 56, 84, 97 |
| `sha256:f1a874c4268b1bffffc99acabbe0a60aa662611b4bac0e688e4fc0ae3f2033bb` | `01_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 54, 56 |
| `sha256:e3d87c113463c8642a4f22943064fd75c133ad31fe5efebf6de6abf211b74b5a` | `01_Matplotlib.pdf` | 7 | 48, 49, 50, 51, 52, 54, 56 |
| `sha256:d47afb7581e98f588f0e70953e8692249aaa2ec3df36fbd90985f27b1ce1cf50` | `01_Matplotlib.pdf` | 12 | 46, 48, 49, 50, 51, 52, 53, 54, 55, 97 |
| `sha256:e47b8f112a875361a43bcb6d9c6467e0296412d29e417e58a0e60c90b664d281` | `01_Matplotlib.pdf` | 9 | 46, 48, 50, 97, 99, 105, 108, 115, 118 |
| `sha256:9c67df2ac5c3dcf957dfb0cd048fa450322a72b5a2dfb05f816c536b3b090607` | `01_Matplotlib.pdf` | 19 | 32, 39, 46, 48, 49, 50, 53, 58, 97, 99 |
| `sha256:3ee773a0af6fdedb9853dca9f4d8b80a421a0024bdf06bea41f15d58e3b90c87` | `01_Matplotlib.pdf` | 13 | 46, 48, 49, 50, 52, 54, 56, 97, 99, 105 |
| `sha256:4fa06c90399d80b41cb718163a5d78af2b203df6b6579246fb0b24d349b7a591` | `01_Matplotlib.pdf` | 15 | 46, 48, 49, 50, 52, 53, 54, 56, 97, 98 |
| `sha256:e47b8f112a875361a43bcb6d9c6467e0296412d29e417e58a0e60c90b664d281` | `01_Matplotlib.pdf` | 9 | 46, 48, 50, 97, 99, 105, 108, 115, 118 |
| `sha256:ac6756c76d6e43b771cc1e643dfc7891dfaaac05aa5e302190d0a662838ab031` | `01_Matplotlib.pdf` | 13 | 46, 48, 49, 50, 51, 53, 55, 97, 99, 105 |
| `sha256:bf7b95498f7d00d228c5c155db62b6c1aa7e0215cca1690c9fdb0adcfd496b10` | `01_Matplotlib.pdf` | 14 | 46, 48, 49, 50, 65, 66, 67, 68, 97, 99 |
| `sha256:39b8e5ec8e20a788cd45166baf0ab796397f152c9cd8dec1f882c635380cad92` | `01_Matplotlib.pdf` | 13 | 46, 48, 49, 50, 52, 53, 54, 97, 99, 105 |
| `sha256:27b98489865df8df55f19e4505c093501f236465885ca3bf5b66b6f047a85bb2` | `01_Matplotlib.pdf` | 19 | 46, 48, 49, 50, 51, 52, 68, 70, 72, 76 |
| `sha256:497ddd27e1f56ef6504c61613e3a159bab13314a4970a3be13b3a556648964da` | `01_Matplotlib.pdf` | 12 | 46, 48, 49, 50, 51, 97, 98, 99, 105, 108 |
| `sha256:3b41f9e5f3a7ffa6f4cdffa2a46f02781ec1b2b0c99994707cfb139aa15a11e2` | `01_Matplotlib.pdf` | 5 | 32, 48, 49, 50, 53 |
| `sha256:93723fe436a1aa654db56caf133f56280444b9dc0682af50b83787c3e49ee3ec` | `01_Matplotlib.pdf` | 16 | 32, 48, 49, 50, 52, 53, 54, 56, 58, 97 |
| `sha256:a648cb0524465bcb3bf4a2f65e0761cfc5167b1871a7db9488bee11b56062727` | `01_Matplotlib.pdf` | 14 | 32, 46, 48, 49, 50, 52, 53, 54, 56, 58 |
| `sha256:2f18ed7f982aeb954aaae388ba0c75e3c676717ca324156b42bb17f3f20ef403` | `01_Matplotlib.pdf` | 18 | 46, 48, 49, 50, 52, 54, 97, 99, 101, 102 |
| `sha256:18ce863feb57f42f2b92ac85a8c55ef3eeaa15488c5d6cd8c724b085994c64fa` | `01_Matplotlib.pdf` | 12 | 46, 48, 49, 50, 51, 52, 97, 99, 105, 108 |
| `sha256:a3eb7054e426aad7d1fac1f39ad6d3f886e34c04f780def5cf22b53cb3a45b46` | `01_Matplotlib.pdf` | 15 | 46, 48, 49, 50, 52, 53, 54, 55, 56, 97 |
| `sha256:edd22119635bfb0f2bff750137c6c6400a7fae4ff80cc252d2e6f2ca88f599a7` | `01_Matplotlib.pdf` | 15 | 46, 48, 49, 50, 51, 52, 53, 54, 56, 97 |
| `sha256:aae1797f3e3ff55d71b02590333aff86663d6bb4a5768bed7550e5987f40afe8` | `01_Matplotlib.pdf` | 14 | 46, 48, 49, 50, 52, 53, 54, 56, 97, 99 |
| `sha256:0165552fad28860f2ea6079be7a87ea0833acde99309b3ef619c8f81707c46a3` | `01_Matplotlib.pdf` | 14 | 46, 48, 49, 50, 51, 52, 54, 97, 99, 105 |
| `sha256:792a1c5aaa1743ab203a363a8f6cd07c3b043e33c72e97c4ea21f5862158e6c1` | `01_Matplotlib.pdf` | 17 | 43, 46, 48, 49, 50, 51, 52, 53, 54, 56 |
| `sha256:f4bfd64f36bf33dea79800561a67f78d5ccdb436363574abf0892f58b376a2e6` | `01_Matplotlib.pdf` | 25 | 32, 46, 48, 49, 50, 51, 52, 53, 54, 85 |
| `sha256:119da04d962622c8aa46d77f6bdfccb5d4a4ef7173775275b046efd59098e5d9` | `01_Matplotlib.pdf` | 17 | 46, 48, 49, 50, 53, 55, 97, 101, 103, 105 |
| `sha256:003af1c45e3a5ab09544e226eba25e3a70abfe6e36dd48584474cc7a497685f6` | `01_Matplotlib.pdf` | 28 | 32, 40, 41, 46, 48, 49, 50, 52, 54, 56 |
| `sha256:88b3471db1978cc83233f249453806a8369c766b089b424c86c2584196ed5dbf` | `01_Matplotlib.pdf` | 14 | 46, 48, 49, 50, 52, 54, 56, 100, 101, 102 |
| `sha256:a15cc90b7fc110cef4f07fe8a692d572e1289a9ee29c95732294662fded4e042` | `01_Matplotlib.pdf` | 16 | 32, 46, 48, 49, 50, 51, 53, 79, 83, 97 |
| `sha256:fb54c23aa081562ac114676ffe43032c9c0fb63af3e5b7b3441b88872d1f2e7a` | `01_Matplotlib.pdf` | 16 | 46, 48, 49, 50, 52, 53, 54, 56, 66, 72 |
| `sha256:4b553d51d58f5891af071359fb016caf1c6137778da129a6b208dcc8cb0c4635` | `01_Matplotlib.pdf` | 9 | 46, 48, 49, 50, 51, 52, 53, 54, 56 |
| `sha256:93573cb1ab32b9cb09378298fb120de079f6a309908d2ee86f91392a6aba5c31` | `01_Matplotlib.pdf` | 30 | 32, 45, 48, 49, 50, 51, 52, 53, 54, 55 |
| `sha256:4febfad91e0141f9658506a0bf8fc2a449f0ea7d97b44e95fc9a970c77af4b0a` | `01_Matplotlib.pdf` | 7 | 48, 49, 50, 51, 52, 53, 54 |
| `sha256:0386e5811612ba4b998d57cd3869d7fbc48092a79d436deda774af107a4af813` | `01_Matplotlib.pdf` | 9 | 46, 48, 49, 50, 51, 52, 53, 54, 55 |
| `sha256:b95fa2a272cbc950b81320790d04fcf19ebb24050fa2139ba6a474172cac596b` | `01_Matplotlib.pdf` | 20 | 32, 40, 41, 48, 50, 52, 54, 56, 83, 85 |
| `sha256:b318f65b9dc209eb6f004e3a6c20a772ebbca3d752adc10c66a6a8a479da2838` | `01_Matplotlib.pdf` | 20 | 32, 40, 41, 46, 48, 49, 50, 52, 53, 54 |
| `sha256:64f725573c1f5d90196e94ed338a7af06baf274420414befeb9693c80acd0f77` | `01_Matplotlib.pdf` | 23 | 32, 46, 48, 49, 50, 51, 52, 53, 55, 57 |
| `sha256:9a701e082ba5a779e2b20b8de0c7844b3f7838ba8cd4bd7ef366893761fb994d` | `01_Matplotlib.pdf` | 10 | 46, 48, 49, 50, 51, 52, 53, 54, 55, 56 |
| `sha256:2f6f8d63ff6235f3b7cd6f5eba8076854892037afa2ea6962953b3e7cda3736e` | `01_Matplotlib.pdf` | 31 | 32, 40, 41, 44, 61, 65, 66, 67, 68, 70 |
| `sha256:f17b5eb0ee996d1388c548f79fa50fa2d8c6076959eff189bb745d156d54547f` | `01_Matplotlib.pdf` | 26 | 32, 39, 65, 66, 67, 68, 73, 97, 98, 100 |
| `sha256:f22c75548364bb25fc3efbe11f05c56e29f07c15c3046ddbc85a64e5cc5a97bd` | `01_Matplotlib.pdf` | 21 | 32, 48, 49, 50, 72, 80, 91, 93, 99, 100 |
| `sha256:54a6c2e4bc290b48e21eece7f81cb6633c4b53a91f198fdaabfc73743b0e4499` | `01_Matplotlib.pdf` | 15 | 48, 49, 50, 51, 52, 53, 54, 97, 100, 101 |
| `sha256:059af9dbaaab27c1d660ef00de6d4fd6e1687cfe2abca0a4c07265c2b2b450c6` | `01_Matplotlib.pdf` | 22 | 32, 46, 48, 49, 50, 51, 53, 55, 68, 77 |
| `sha256:6651550d7b913850087244b7a70961989c2efc6d8c8d060d8663ff087b7723f6` | `01_Matplotlib.pdf` | 20 | 32, 46, 48, 49, 50, 52, 54, 56, 97, 100 |
| `sha256:4d4ee6f04f57a40a589741df4747990ed485c192b0fc179a415aba822f352a8d` | `01_Matplotlib.pdf` | 26 | 32, 45, 48, 49, 50, 51, 52, 53, 56, 65 |
| `sha256:4febfad91e0141f9658506a0bf8fc2a449f0ea7d97b44e95fc9a970c77af4b0a` | `01_Matplotlib.pdf` | 7 | 48, 49, 50, 51, 52, 53, 54 |
| `sha256:e808a8ecba94bf0190ab7218bb0702698125ee2e456e82e00da709e8188e2bf8` | `01_Matplotlib.pdf` | 28 | 32, 46, 48, 49, 50, 53, 54, 70, 83, 84 |
| `sha256:b5064b202eb1dae41545eddf674ee23bd82176e76aac8eb749540c2689f2e3ec` | `01_Matplotlib.pdf` | 33 | 32, 33, 37, 48, 49, 50, 52, 53, 54, 68 |
| `sha256:f8f14410ec170248916e19f9d09120cfd786c47906b7c3735781d24e944b094e` | `01_Matplotlib.pdf` | 11 | 32, 83, 84, 101, 109, 110, 111, 115, 116, 119 |
| `sha256:2be58b6ef1e29a83b8634d70b9e32c37a15dea2e608894439ef7224c35b77f5d` | `01_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 53, 55 |
| `sha256:994c963d70041eee141fd275fa22c525a71283de2b4a952814d02e0bbfa8caea` | `01_Matplotlib.pdf` | 4 | 46, 48, 49, 53 |
| `sha256:c43134bebeaf8328ac299ba978d7e663e2dc4fe99463b9d7f72f72f77936204e` | `01_Matplotlib.pdf` | 9 | 48, 49, 50, 51, 52, 53, 54, 55, 56 |
| `sha256:4f763d5e2cd0bdcd4650936ac505bd0e011899712ffe80ffa4b4d43f42941327` | `01_Matplotlib.pdf` | 10 | 46, 48, 49, 50, 52, 54, 56, 98, 103, 114 |
| `sha256:2be58b6ef1e29a83b8634d70b9e32c37a15dea2e608894439ef7224c35b77f5d` | `01_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 53, 55 |
| `sha256:cb72de0c6105b9802d360c47a292a1f7bc344939a6801b879ea09dae4e45e863` | `01_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 51, 52, 53 |
| `sha256:2add5b5ad6e536f3614b75e246b49a006edbbecdd309d24bd42c874a3ae3c8ed` | `01_Matplotlib.pdf` | 21 | 45, 48, 49, 50, 51, 52, 97, 99, 100, 101 |
| `sha256:85e16e36ed0290c149647be7e468a7c46e7b66fd290131213040f7bad905aa44` | `02_Matplotlib.pdf` | 25 | 32, 45, 46, 48, 49, 50, 52, 53, 54, 56 |
| `sha256:85e16e36ed0290c149647be7e468a7c46e7b66fd290131213040f7bad905aa44` | `02_Matplotlib.pdf` | 25 | 32, 45, 46, 48, 49, 50, 52, 53, 54, 56 |
| `sha256:059af9dbaaab27c1d660ef00de6d4fd6e1687cfe2abca0a4c07265c2b2b450c6` | `02_Matplotlib.pdf` | 22 | 32, 46, 48, 49, 50, 51, 53, 55, 68, 77 |
| `sha256:9a701e082ba5a779e2b20b8de0c7844b3f7838ba8cd4bd7ef366893761fb994d` | `02_Matplotlib.pdf` | 10 | 46, 48, 49, 50, 51, 52, 53, 54, 55, 56 |
| `sha256:2f6f8d63ff6235f3b7cd6f5eba8076854892037afa2ea6962953b3e7cda3736e` | `02_Matplotlib.pdf` | 31 | 32, 40, 41, 44, 61, 65, 66, 67, 68, 70 |
| `sha256:f17b5eb0ee996d1388c548f79fa50fa2d8c6076959eff189bb745d156d54547f` | `02_Matplotlib.pdf` | 26 | 32, 39, 65, 66, 67, 68, 73, 97, 98, 100 |
| `sha256:6651550d7b913850087244b7a70961989c2efc6d8c8d060d8663ff087b7723f6` | `02_Matplotlib.pdf` | 20 | 32, 46, 48, 49, 50, 52, 54, 56, 97, 100 |
| `sha256:4febfad91e0141f9658506a0bf8fc2a449f0ea7d97b44e95fc9a970c77af4b0a` | `02_Matplotlib.pdf` | 7 | 48, 49, 50, 51, 52, 53, 54 |
| `sha256:e808a8ecba94bf0190ab7218bb0702698125ee2e456e82e00da709e8188e2bf8` | `02_Matplotlib.pdf` | 28 | 32, 46, 48, 49, 50, 53, 54, 70, 83, 84 |
| `sha256:b5064b202eb1dae41545eddf674ee23bd82176e76aac8eb749540c2689f2e3ec` | `02_Matplotlib.pdf` | 33 | 32, 33, 37, 48, 49, 50, 52, 53, 54, 68 |
| `sha256:f8f14410ec170248916e19f9d09120cfd786c47906b7c3735781d24e944b094e` | `02_Matplotlib.pdf` | 11 | 32, 83, 84, 101, 109, 110, 111, 115, 116, 119 |
| `sha256:2be58b6ef1e29a83b8634d70b9e32c37a15dea2e608894439ef7224c35b77f5d` | `02_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 53, 55 |
| `sha256:994c963d70041eee141fd275fa22c525a71283de2b4a952814d02e0bbfa8caea` | `02_Matplotlib.pdf` | 4 | 46, 48, 49, 53 |
| `sha256:c43134bebeaf8328ac299ba978d7e663e2dc4fe99463b9d7f72f72f77936204e` | `02_Matplotlib.pdf` | 9 | 48, 49, 50, 51, 52, 53, 54, 55, 56 |
| `sha256:4f763d5e2cd0bdcd4650936ac505bd0e011899712ffe80ffa4b4d43f42941327` | `02_Matplotlib.pdf` | 10 | 46, 48, 49, 50, 52, 54, 56, 98, 103, 114 |
| `sha256:2be58b6ef1e29a83b8634d70b9e32c37a15dea2e608894439ef7224c35b77f5d` | `02_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 52, 53, 55 |
| `sha256:cb72de0c6105b9802d360c47a292a1f7bc344939a6801b879ea09dae4e45e863` | `02_Matplotlib.pdf` | 7 | 46, 48, 49, 50, 51, 52, 53 |
| `sha256:31d0e67bc63a816302c9ff6ad9c19e17603aef1a4c3677b81b1d9084caa86e03` | `03_handout-beginner.pdf` | 6 | 46, 48, 49, 50, 51, 53 |
| `sha256:4b509d2ae2cfab89783a73df2c66f0fd50949f97696079cb58f1e58b81daaa07` | `03_handout-beginner.pdf` | 4 | 84, 101, 105, 109 |
| `sha256:831f7012db360331ffb5a5de6a6d6e03ffaad29f48d81cabe9fc613b25aad818` | `04_handout-intermediate.pdf` | 43 | 32, 40, 41, 46, 48, 49, 50, 51, 52, 53 |
| `sha256:bf790625423c5ebdf94760eb796c847af885b930d3a30861509b07f1c77c3f60` | `04_handout-intermediate.pdf` | 9 | 46, 48, 49, 50, 51, 52, 53, 54, 56 |
| `sha256:f7c3be2199c397a4c702dd434ac63fc9e046d749eff8cede4513fbc2774751b4` | `04_handout-intermediate.pdf` | 5 | 48, 49, 50, 51, 53 |
| `sha256:8f7bf7a6382e8a762c5a84f19f84f0675f61eb1b34bd42562c0b3ac6712e29ef` | `04_handout-intermediate.pdf` | 2 | 48, 49 |
| `sha256:dfaf8075e13be0e51f72485f9d825cea9ad077eb2dd9d63b9922add67d7d2761` | `04_handout-intermediate.pdf` | 12 | 32, 48, 49, 50, 51, 53, 80, 100, 101, 105 |
| `sha256:853422e67ac88fe7ae28d5c459dc9f5a84f24e7840eeb2d82a00719032119326` | `04_handout-intermediate.pdf` | 10 | 32, 67, 83, 97, 100, 101, 105, 110, 111, 115 |
| `sha256:b42182c55ec4bd53ab0698bee5f92945921dbccb534fdb5c6b41f1782e1fe88e` | `04_handout-intermediate.pdf` | 7 | 32, 48, 49, 50, 51, 53, 65 |
| `sha256:75466035ac34f2523215e599452e32d796d7d02bc7122ed3d02fe91ebe064c25` | `04_handout-intermediate.pdf` | 6 | 48, 49, 50, 52, 54, 56 |
| `sha256:75466035ac34f2523215e599452e32d796d7d02bc7122ed3d02fe91ebe064c25` | `04_handout-intermediate.pdf` | 6 | 48, 49, 50, 52, 54, 56 |
## Alias: `dejavusans-bold`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:dc03917f2edd92a7a68a46ad36f65a908e4feb85e61cb37e9026205f3986574a` | `01_Matplotlib.pdf` | 7 | 65, 87, 100, 101, 103, 105, 116 |
| `sha256:dc03917f2edd92a7a68a46ad36f65a908e4feb85e61cb37e9026205f3986574a` | `02_Matplotlib.pdf` | 7 | 65, 87, 100, 101, 103, 105, 116 |
| `sha256:c845063bef18f173afbfcb90fbf6773f43648c5f0666ecfa0132afe4e164068d` | `03_handout-beginner.pdf` | 9 | 32, 65, 83, 97, 101, 105, 110, 118, 119 |
## Alias: `dejavusans-oblique`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:81cd2d4d9353ee02c7ed80c2892658072b2a8bbd9ed1832b474129dfbe35d5d8` | `01_Matplotlib.pdf` | 13 | 70, 71, 85, 87, 100, 101, 103, 109, 112, 114 |
| `sha256:08864aa8e8d17cead6059d5b4f1b1eea2053fa0ea3ca64e885d6eaacb78bccaf` | `01_Matplotlib.pdf` | 2 | 100, 120 |
## Alias: `dejavusansdisplay`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:ae77c4eb2c49f72c616272f3d7ac624ddb0b4db1c77acbe6b9d13531f68e1d5d` | `01_Matplotlib.pdf` | 0 | |
| `sha256:ae77c4eb2c49f72c616272f3d7ac624ddb0b4db1c77acbe6b9d13531f68e1d5d` | `01_Matplotlib.pdf` | 0 | |
## Alias: `dejavusansmono`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:88758adf0b41a81204ed3ad63463f5d15c7c2f80e8942cee501d06fa7274dc4e` | `01_Matplotlib.pdf` | 8 | 97, 98, 105, 108, 109, 111, 112, 116 |
| `sha256:74e60bcb2d7975b0c7b372aca9fc25f55c9018005425a741830e7c4370b8d593` | `01_Matplotlib.pdf` | 24 | 35, 39, 48, 49, 50, 51, 52, 53, 54, 55 |
## Alias: `f36`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:72c7041f938222b87ce2d9295547f8c19edf250af538160b69be35a968d76ea7` | `08_matplotlib.pdf` | 1 | 136 |
## Alias: `f59`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:d5942c0913ef64ae862556a746b28dac1a621caa5e05973e16881c8e8e15e329` | `08_matplotlib.pdf` | 1 | 42 |
## Alias: `sourcecodepro-regular`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:96ba693001b2ab224ad5b5a7464cecd4d33e68f30fb23f78a8473dbb031ce246` | `04_handout-intermediate.pdf` | 11 | 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 |
| `sha256:72fca14e9e44fc41b0cdb1c6a088f0b07f882f9f04c51a0145f43cf8b285c5b6` | `04_handout-intermediate.pdf` | 11 | 46, 48, 49, 50, 51, 52, 53, 54, 55, 56 |
## Alias: `stixsizethreesym-regular`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:33d0ab9d9d72c1aed1edfc9b815dd6a2d618cbbe9084309c7f2de0f3df3073d7` | `01_Matplotlib.pdf` | 2 | 91, 93 |
## Alias: `unknown`
| Signature | Samples | Glyph Count | Coverage (first 10) |
| --- | --- | --- | --- |
| `sha256:23e4b174e951cd6135e229fb397db4ff518021cf14d5f817031b9f754841e511` | `07_matplotlib.pdf` | 11 | 0, 46, 97, 98, 105, 108, 109, 111, 112, 116 |
| `sha256:f6112d6a35d5fdf5d6431b3156b713020953154042814ad12d2b81731c97250b` | `07_matplotlib.pdf` | 13 | 0, 32, 37, 97, 98, 101, 105, 108, 109, 110 |
| `sha256:7e05c074b630c0f3e1fc23537c22bf4b6191c783601e534cd156f71c1827702c` | `07_matplotlib.pdf` | 42 | 0, 32, 34, 37, 39, 40, 41, 42, 44, 46 |
| `sha256:9958bc1f309f6bafb55834e271bb0b337704fcac51f6d989abe9553fcffa103d` | `07_matplotlib.pdf` | 15 | 0, 46, 97, 98, 105, 108, 109, 110, 111, 112 |