{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pandapy-a-wrapper-around-structured-arrays-to","title":"PandaPy: A Wrapper Around Structured Arrays to Mimic ‘Structs’ in the C Language","arxiv_id":null,"date":"2020-05-13","proceeding":"The Alan Turing Institute 2020 5","authors":["Derek Snow"],"abstract":"Similar to the original Pandas project, PandaPy is developed to improve the usability of python for finance. Structured data types are designed to be able to mimic ‘structs’ in the C language, and they share a similar memory layout. The biggest benefit of this approach is that NumPy directly maps onto a C structure definition, so the buffer containing the array content can be accessed directly within an appropriately written C program. This makes PandaPy a strong contender for high frequency trading on small-to-medium datasets. PandaPy currently houses more than 30 functions.","url_abs":"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3599639","url_pdf":"https://poseidon01.ssrn.com/delivery.php?ID=843106086008087064081031071096067010017051024001008020124118113123013019071030119091049101001060018038058113070074022070081116109034011046042125020000102118124030119035092066013089111105015124081014090087010082118030067097124122003123107114114098099027&EXT=pdf&INDEX=TRUE","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pandapy-a-wrapper-around-structured-arrays-to","repo_url":"https://github.com/MindSpore-scientific-2/code-10/tree/main/S2Wrapper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"pandapy-a-wrapper-around-structured-arrays-to","repo_url":"https://github.com/MindSpore-scientific-2/code-8/tree/main/S2Wrapper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"pandapy-a-wrapper-around-structured-arrays-to","repo_url":"https://github.com/firmai/pandapy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}