pyplasm

Plasm is a design language for geometric and solid parametric design, developed by the CAD Group at the Universities La Sapienza and Roma Tre in Italy

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

This version

2.2.2

Jan 1, 2021

2.2.1

Dec 30, 2020

2.0.13

Dec 30, 2020

2.0.12

Dec 30, 2020

2.0.11

Dec 30, 2020

2.0.10

Dec 23, 2020

2.0.9

Sep 22, 2020

2.0.7

Sep 16, 2020

2.0.6

Sep 16, 2020

2.0.5

Sep 16, 2020

2.0.4

Sep 16, 2020

1.2.5

Sep 14, 2018

1.1.1

Jul 11, 2018

1.1.0

Jul 11, 2018

1.0.0

Jul 11, 2018

Download files

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

Files for pyplasm, version 2.2.2
Filename, size	File type	Python version	Upload date	Hashes
Filename, size pyplasm-2.2.2-cp36-none-macosx_10_9_x86_64.whl (5.7 MB)	File type Wheel	Python version cp36	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp36-none-manylinux2010_x86_64.whl (6.4 MB)	File type Wheel	Python version cp36	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp36-none-win_amd64.whl (2.9 MB)	File type Wheel	Python version cp36	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp37-none-macosx_10_9_x86_64.whl (5.7 MB)	File type Wheel	Python version cp37	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp37-none-manylinux2010_x86_64.whl (6.4 MB)	File type Wheel	Python version cp37	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp37-none-win_amd64.whl (2.9 MB)	File type Wheel	Python version cp37	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp38-none-macosx_10_9_x86_64.whl (5.7 MB)	File type Wheel	Python version cp38	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp38-none-manylinux2010_x86_64.whl (6.4 MB)	File type Wheel	Python version cp38	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp38-none-win_amd64.whl (2.9 MB)	File type Wheel	Python version cp38	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp39-none-macosx_10_9_x86_64.whl (5.7 MB)	File type Wheel	Python version cp39	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp39-none-manylinux2010_x86_64.whl (6.4 MB)	File type Wheel	Python version cp39	Upload date Jan 1, 2021	Hashes View
Filename, size pyplasm-2.2.2-cp39-none-win_amd64.whl (2.9 MB)	File type Wheel	Python version cp39	Upload date Jan 1, 2021	Hashes View

Hashes for pyplasm-2.2.2-cp36-none-macosx_10_9_x86_64.whl

Hashes for pyplasm-2.2.2-cp36-none-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`fb18f9fd8026221c340e5523e20796e711b160f7e3428aeee7855bc35a25bca0`
MD5	`186fc4da455c5995ea3f00e1b616e22f`
BLAKE2-256	`376dfcf2c3a27f02760861221a32710260456cfcf1fa84b456c0ed249cc6141f`

Hashes for pyplasm-2.2.2-cp36-none-manylinux2010_x86_64.whl

Hashes for pyplasm-2.2.2-cp36-none-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`ea6c2e1b9855b003b008e1d534de0d1edd43d036dc1407a4ef2e9b59f3d1ca58`
MD5	`4107374e583f4f2b65f1cc0d6725ba33`
BLAKE2-256	`551e0d3cf9e3ff9263cee27f74a3df2bc8c5e45cc1a668623fd9110b356bf357`

Hashes for pyplasm-2.2.2-cp36-none-win_amd64.whl

Hashes for pyplasm-2.2.2-cp36-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`c7190f6b458027257dfed0e903b13b1b70f62738668c3c4044809006b4fd5be3`
MD5	`a4cb0c993ab09a5ad149801ea72879a8`
BLAKE2-256	`2289ba96060a84690399155b1ae498fe456cfc788fb9f678bcffa1f7abca7ef6`

Hashes for pyplasm-2.2.2-cp37-none-macosx_10_9_x86_64.whl

Hashes for pyplasm-2.2.2-cp37-none-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9b3eae238265ac79a8a671311479ec4b414c11a93f3e3bc5ad76e77d64d8bf67`
MD5	`c83c49efb1028a9a10b21d9b03e9cc7e`
BLAKE2-256	`807a0a26b8309fe164811c19dafce573f255fc874d87f33f312e2ded4f8fcb04`

Hashes for pyplasm-2.2.2-cp37-none-manylinux2010_x86_64.whl

Hashes for pyplasm-2.2.2-cp37-none-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`4d0e5405a4831908b6596f9abca4792866992e76d7f28bfa5b39cbd23780af12`
MD5	`28c7179dfa3cb9a1925f5f679256be71`
BLAKE2-256	`47aef6524032522a0f4adeb20c074e35038580f733e05baf7946cd1ff1196da8`

Hashes for pyplasm-2.2.2-cp37-none-win_amd64.whl

Hashes for pyplasm-2.2.2-cp37-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`5ebc56639758bc87322c0d73a960e8858f916bed6128fd3020faffdb04976a87`
MD5	`e15fb6235bb804617753537504a526c8`
BLAKE2-256	`6c2a996e08ff848ac5416b4d575ed499ff4ddccce01d4e6c51df16853e1ce592`

Hashes for pyplasm-2.2.2-cp38-none-macosx_10_9_x86_64.whl

Hashes for pyplasm-2.2.2-cp38-none-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`700196e5de6e032f26ae8c4310e0a99e6b469c9ba6a1279f9e85eb69b6223174`
MD5	`e040c28bb56cfcc6a9246140495684d5`
BLAKE2-256	`2f544513490c077dfc181e3926666896f88e05c2bf9d0d76c76bfc891b6a8bdc`

Hashes for pyplasm-2.2.2-cp38-none-manylinux2010_x86_64.whl

Hashes for pyplasm-2.2.2-cp38-none-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`0eea474a3af0676cfb5584abac8301d2d19be3c0f1b2d6766c527eb183ea103b`
MD5	`250dd0a597cb0bf85deda07a1b67db16`
BLAKE2-256	`f723ac0344aacbca3d5a2d1756a53be9f0f592378a7ef47b5ecfb4c1848c3596`

Hashes for pyplasm-2.2.2-cp38-none-win_amd64.whl

Hashes for pyplasm-2.2.2-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`eee602f6566998b2100b9a695c6330563dd52a3e24ea91c5dcb8b34d883d88a9`
MD5	`05a82f3ae4b70d09e654d1692f4621fd`
BLAKE2-256	`728fa8b45e96a447bcf597ed25f282dba5ba100ee40b7a344c135e13cc759362`

Hashes for pyplasm-2.2.2-cp39-none-macosx_10_9_x86_64.whl

Hashes for pyplasm-2.2.2-cp39-none-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1aecf34fdf68a0084efcabc321f21ab01e22bf45483eefe1bff7b7a5b2b14c5e`
MD5	`6f13a099f3cd191b797b174b88c54faa`
BLAKE2-256	`6aaf4ff67371ab905f6d250ad35a48a0bf8dd82fa2729f62a75b86baa9590781`

Hashes for pyplasm-2.2.2-cp39-none-manylinux2010_x86_64.whl

Hashes for pyplasm-2.2.2-cp39-none-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`84223e88de01810cc13af422cf1a9e3de21b360ba8e951aa3c69bd81955cfcde`
MD5	`0e08e1e568d69915e692e1467b1c7a10`
BLAKE2-256	`c19dc81ac198a7c2495ad1924e78d7baa3fcb63576984dc2234a1c6d23e04675`

Hashes for pyplasm-2.2.2-cp39-none-win_amd64.whl

Hashes for pyplasm-2.2.2-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`c0969e8cd8e10d3a2999ff5d834ce7835a1614ff36bd62273f81debb72a04d3c`
MD5	`1d8b3878a75787026c90a35d1387cd59`
BLAKE2-256	`5a84c8894645c8e1dcaa05e4732aec819185513222740ad9967e1f7593534b0f`