{"id":10376,"date":"2024-05-24T17:23:56","date_gmt":"2024-05-24T15:23:56","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=10376"},"modified":"2024-05-24T17:23:56","modified_gmt":"2024-05-24T15:23:56","slug":"version-0-8-of-the-pysmartdatamodels-package","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/version-0-8-of-the-pysmartdatamodels-package\/","title":{"rendered":"Version 0.8 of the pysmartdatamodels package"},"content":{"rendered":"

Due to the new configuration of files of the package pysmartdatamodels<\/a> it will be no longer required to use the from<\/em><\/strong> clause (initially)<\/p>\n

Therefore now to import the package in python it will be simply<\/p>\n

import pysmartdatamodels as sdm<\/pre>\n
Accordingly the examples of code in all data models are being changed, including a comment on this version change.<\/p>\n
This updated of the examples o code will be announced soon.<\/p>\n
\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"
Due to the new configuration of files of the package pysmartdatamodels it will be no longer required to use the from clause (initially) Therefore now to import the package in python it will be simply import pysmartdatamodels as sdm Accordingly the examples of code in all data models are being… More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[105,107,109,113,115,119,117,88,143,111,125,182,201],"tags":[],"class_list":["post-10376","post","type-post","status-publish","format-standard","hentry","category-cross-sector","category-smart-cities","category-smart-energy-domain","category-smart-environment","category-smart-manufacturing","category-smart-robotics","category-smart-water","category-smart-sensoring","category-smartaeronautics","category-smart-agrifood","category-smartdestinations","category-smarthealth","category-smartlogistics"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":10291,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-package-0-6-4-with-adaptations-to-data-spaces\/","url_meta":{"origin":10376,"position":0},"title":"New version of pysmartdatamodels package 0.6.4 with adaptations to Data Spaces","author":"maestro","date":"26\/02\/2024","format":false,"excerpt":"There is a new version of the python package pysmartdatamodels to use it you have just to type pip install pysmartdatamodels in your system Besides the update in the list of data models it includes two new functions - look_for_data_model that allows approximate searches for a data model based on\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/02\/pysmartdatamodels_0.6.4.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":32544,"url":"https:\/\/smartdatamodels.org\/index.php\/new-pysmartdatamodels-version-0-8-0-9-updated-to-1066-data-models\/","url_meta":{"origin":10376,"position":1},"title":"New pysmartdatamodels Version 0.8.0.9. Updated to 1066 data models","author":"maestro","date":"09\/03\/2026","format":false,"excerpt":"We are thrilled to announce a significant new release of our Python package, pysmartdatamodels, designed to empower developers and streamline the contribution process for our community. This update is packed with new data models till 6-3-26. Yo do not need to update the package if you use the function it\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2026\/03\/Screenshot-from-2026-03-07-20-55-08.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":10306,"url":"https:\/\/smartdatamodels.org\/index.php\/minor-extension-of-pysmartdatamodels-0-6-4-1\/","url_meta":{"origin":10376,"position":2},"title":"Minor extension of pysmartdatamodels 0.6.4.1","author":"maestro","date":"28\/02\/2024","format":false,"excerpt":"There is a minor new version of the package pysmartdatamodels. Now it allows to have in the metadata of a data model the direct links to the specification in the 8 languages. you can access thanks to the function list_datamodel_metadata and accessing the objects with the keys, spec, spec_DE, spec_ES,\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/02\/pysdm_0.6.4.1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":10131,"url":"https:\/\/smartdatamodels.org\/index.php\/new-pysmartdatamodels-package-0-6-3-release\/","url_meta":{"origin":10376,"position":3},"title":"New pysmartdatamodels package 0.6.3 Release","author":"maestro","date":"02\/11\/2023","format":false,"excerpt":"We are thrilled to announce the latest update to pysmartdatamodels Python package, version 0.6.3, featuring a new function: generate_sql_schema()This addition enabling seamless generation of SQL schemas with just a few lines of code! Introducing\u00a0 generate_sql_schemqa() Function: With the new function, generate_sql_schemqa()\u00a0 pysmartdatamodels simplifies the process of creating SQL schemas for\u2026","rel":"","context":"In "Smart Cities domain"","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8301,"url":"https:\/\/smartdatamodels.org\/index.php\/pysmartdatamodels\/","url_meta":{"origin":10376,"position":4},"title":"pysmartdatamodels options in the tools menu","author":"maestro","date":"10\/02\/2023","format":false,"excerpt":"New options for pysmartdatamodels package. There are a new element in he tools menu to access the pysmartdatamodels package, its documentation, or a code example.","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2023\/02\/Selection_174.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":10356,"url":"https:\/\/smartdatamodels.org\/index.php\/new-version-of-pysmartdatamodels-python-package-0-7-1\/","url_meta":{"origin":10376,"position":5},"title":"New version of pysmartdatamodels python package 0.7.1","author":"maestro","date":"07\/05\/2024","format":false,"excerpt":"The changes in this new version are: - Including new function validate_dcat_ap_distribution_sdm - Updating the comments of most of the functions - Some code improvements by jilin.he@fiware.org - Included a new directory with templates for the creation of a data model. Not used yet but next version they will be\u2026","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/05\/pysmartdatamodels_0.7.1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/10376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=10376"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/10376\/revisions"}],"predecessor-version":[{"id":10378,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/10376\/revisions\/10378"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=10376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=10376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=10376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}