{"id":"https://openalex.org/W2922515312","doi":"https://doi.org/10.1201/9781315151670-2","title":"Python: For Something Completely Different","display_name":"Python: For Something Completely Different","publication_year":2018,"publication_date":"2018-02-05","ids":{"openalex":"https://openalex.org/W2922515312","doi":"https://doi.org/10.1201/9781315151670-2","mag":"2922515312"},"language":"en","primary_location":{"id":"doi:10.1201/9781315151670-2","doi":"https://doi.org/10.1201/9781315151670-2","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781315151670-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306467597","display_name":"Chapman & Hall/CRC eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320449","host_organization_name":"Informa","host_organization_lineage":["https://openalex.org/P4310320449"],"host_organization_lineage_names":["Informa"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Analytics with Python","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W2889435903","display_name":"Data Science and Analytics with Python"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067656178","display_name":"J. Rogel-Salazar","orcid":"https://orcid.org/0000-0002-6673-9401","observed_orcids":["https://orcid.org/0000-0002-6673-9401"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jes\u00fas Rogel-Salazar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5067656178"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3144,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80009728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python-programming","display_name":"Python programming","score":0.8949999809265137},{"id":"https://openalex.org/keywords/code-readability","display_name":"code readability","score":0.6930000185966492},{"id":"https://openalex.org/keywords/object-oriented-programming","display_name":"object-oriented programming","score":0.7609999775886536},{"id":"https://openalex.org/keywords/interpreted-languages","display_name":"interpreted languages","score":0.7919999957084656},{"id":"https://openalex.org/keywords/portability","display_name":"portability","score":0.5590000152587891},{"id":"https://openalex.org/keywords/jupyter-notebooks","display_name":"Jupyter notebooks","score":0.6499999761581421},{"id":"https://openalex.org/keywords/numpy","display_name":"NumPy","score":0.8309999704360962},{"id":"https://openalex.org/keywords/arrays","display_name":"arrays","score":0.7960000038146973},{"id":"https://openalex.org/keywords/data-science-workflow","display_name":"data science workflow","score":0.8019999861717224}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7264951467514038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4367867410182953},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.35450947284698486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9781315151670-2","doi":"https://doi.org/10.1201/9781315151670-2","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781315151670-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306467597","display_name":"Chapman & Hall/CRC eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320449","host_organization_name":"Informa","host_organization_lineage":["https://openalex.org/P4310320449"],"host_organization_lineage_names":["Informa"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Analytics with Python","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4315767286","https://openalex.org/W3096001112","https://openalex.org/W2775735251","https://openalex.org/W2110114082","https://openalex.org/W4400280080","https://openalex.org/W4235556687","https://openalex.org/W4200020721","https://openalex.org/W586915224","https://openalex.org/W143162329","https://openalex.org/W4403638583"],"abstract_inverted_index":{"Python":[0,42,62,84,132],"started":[1],"up":[2],"as":[3,68,113,115,120],"a":[4,20,32,80,140],"hobby":[5],"programming":[6,24],"project.":[7],"Python's":[8],"emphasis":[9],"on":[10],"code":[11,70,77,85],"readability":[12],"and":[13,30,37,52,67,88,110],"expressive":[14],"syntax":[15],"has":[16,43],"made":[17],"it":[18,48],"into":[19],"general-purpose,":[21],"high-level,":[22],"object-oriented":[23],"language":[25,66],"available":[26],"in":[27],"multiple":[28],"platforms":[29],"with":[31,133],"plethora":[33],"of":[34,106,136,142,144],"supporting":[35],"packages":[36],"modules.":[38],"The":[39,100],"support":[40],"that":[41,61],"for":[44,50,94],"hierarchical":[45],"modularity":[46],"makes":[47],"possible":[49],"programmers":[51],"developers":[53],"to":[54,79,138],"build":[55],"further":[56],"functionality.":[57],"It":[58,90],"is":[59,63,86,91],"true":[60],"an":[64],"interpreted":[65],"such":[69,119],"may":[71],"be":[72],"often":[73],"slower":[74],"than":[75],"compiled":[76],"tailored":[78],"particular":[81],"machine":[82],"architecture.":[83],"flexible":[87],"portable.":[89],"fast":[92],"enough":[93],"the":[95,104,128,134,145],"typical":[96],"data":[97],"science":[98],"workflow.":[99],"iPython/Jupyter":[101],"notebook":[102],"supports":[103],"inclusion":[105],"text,":[107],"mathematical":[108],"expression":[109],"inline":[111],"graphics":[112],"well":[114],"other":[116],"rich":[117],"media":[118],"websites,":[121],"images,":[122],"video,":[123],"maths,":[124],"etc.":[125],"NumPy":[126],"extends":[127],"types":[129],"supported":[130],"by":[131],"definition":[135],"arrays":[137],"describe":[139],"collection":[141],"objects":[143],"same":[146],"type.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2019-03-22T00:00:00"}