{"id":"https://openalex.org/W3006150655","doi":"https://doi.org/10.3390/info11040193","title":"Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence","display_name":"Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence","publication_year":2020,"publication_date":"2020-04-04","ids":{"openalex":"https://openalex.org/W3006150655","doi":"https://doi.org/10.3390/info11040193","mag":"3006150655"},"language":"en","primary_location":{"id":"doi:10.3390/info11040193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11040193","pdf_url":"https://www.mdpi.com/2078-2489/11/4/193/pdf?version=1587379966","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/11/4/193/pdf?version=1587379966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053156269","display_name":"Sebastian Raschka","orcid":"https://orcid.org/0000-0001-6989-4493"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sebastian Raschka","raw_affiliation_strings":["Department of Statistics, University of Wisconsin-Madison, Madison, WI 53575, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Wisconsin-Madison, Madison, WI 53575, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054254831","display_name":"Joshua Patterson","orcid":"https://orcid.org/0000-0003-3272-2545"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Patterson","raw_affiliation_strings":["NVIDIA, Santa Clara, CA 95051, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA 95051, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083141249","display_name":"Corey Nolet","orcid":"https://orcid.org/0000-0002-2117-7636"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Corey Nolet","raw_affiliation_strings":["Department of Comp Sci & Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","NVIDIA, Santa Clara, CA 95051, USA"],"affiliations":[{"raw_affiliation_string":"Department of Comp Sci & Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"NVIDIA, Santa Clara, CA 95051, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053156269"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":4.7999,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.95748297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":"4","first_page":"193","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.815696120262146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7431503534317017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6971538066864014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6270918846130371},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4753541648387909},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4633851945400238},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46209588646888733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41010090708732605},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38598746061325073},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13049453496932983},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10560646653175354}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.815696120262146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7431503534317017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971538066864014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6270918846130371},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4753541648387909},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4633851945400238},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46209588646888733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41010090708732605},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38598746061325073},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13049453496932983},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10560646653175354}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/info11040193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11040193","pdf_url":"https://www.mdpi.com/2078-2489/11/4/193/pdf?version=1587379966","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2002.04803","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2002.04803","pdf_url":"https://arxiv.org/pdf/2002.04803","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3006150655","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2002.04803.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:doaj.org/article:50c2ea63f8a14b54b90c49e8b301b789","is_oa":true,"landing_page_url":"https://doaj.org/article/50c2ea63f8a14b54b90c49e8b301b789","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 11, Iss 4, p 193 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/11/4/193/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info11040193","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2002.04803","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2002.04803","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info11040193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11040193","pdf_url":"https://www.mdpi.com/2078-2489/11/4/193/pdf?version=1587379966","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306555","display_name":"Wisconsin Alumni Research Foundation","ror":"https://ror.org/00hwxbz16"},{"id":"https://openalex.org/F4320309434","display_name":"University of Wisconsin-Madison","ror":"https://ror.org/01y2jtd41"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006150655.pdf","grobid_xml":"https://content.openalex.org/works/W3006150655.grobid-xml"},"referenced_works_count":254,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W410850256","https://openalex.org/W753012316","https://openalex.org/W1486696347","https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1562353621","https://openalex.org/W1568834902","https://openalex.org/W1678356000","https://openalex.org/W1728842521","https://openalex.org/W1751428553","https://openalex.org/W1798702550","https://openalex.org/W1962931680","https://openalex.org/W1964477602","https://openalex.org/W1964981582","https://openalex.org/W1980287119","https://openalex.org/W1981552604","https://openalex.org/W1983144994","https://openalex.org/W1988790447","https://openalex.org/W1995341919","https://openalex.org/W2001619934","https://openalex.org/W2005343162","https://openalex.org/W2011301426","https://openalex.org/W2040870580","https://openalex.org/W2045256553","https://openalex.org/W2063978378","https://openalex.org/W2071039340","https://openalex.org/W2078176013","https://openalex.org/W2097117768","https://openalex.org/W2097998348","https://openalex.org/W2099454382","https://openalex.org/W2101234009","https://openalex.org/W2102539288","https://openalex.org/W2103363198","https://openalex.org/W2106411961","https://openalex.org/W2106616471","https://openalex.org/W2108598243","https://openalex.org/W2110114082","https://openalex.org/W2117539524","https://openalex.org/W2119565742","https://openalex.org/W2131975293","https://openalex.org/W2132424367","https://openalex.org/W2147800946","https://openalex.org/W2149381887","https://openalex.org/W2155893237","https://openalex.org/W2173213060","https://openalex.org/W2179402106","https://openalex.org/W2180612164","https://openalex.org/W2181523240","https://openalex.org/W2181616869","https://openalex.org/W2182361439","https://openalex.org/W2186615578","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2217402295","https://openalex.org/W2243397390","https://openalex.org/W2245493112","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2300242332","https://openalex.org/W2384495648","https://openalex.org/W2402144811","https://openalex.org/W2408141691","https://openalex.org/W2460937040","https://openalex.org/W2469490737","https://openalex.org/W2493744448","https://openalex.org/W2513383847","https://openalex.org/W2521200999","https://openalex.org/W2527672088","https://openalex.org/W2528914598","https://openalex.org/W2539792571","https://openalex.org/W2542459869","https://openalex.org/W2543927648","https://openalex.org/W2553303224","https://openalex.org/W2561498661","https://openalex.org/W2577255746","https://openalex.org/W2577537660","https://openalex.org/W2593245696","https://openalex.org/W2594633041","https://openalex.org/W2605409611","https://openalex.org/W2607219512","https://openalex.org/W2612372205","https://openalex.org/W2618851150","https://openalex.org/W2652074165","https://openalex.org/W2735607295","https://openalex.org/W2745565856","https://openalex.org/W2746600820","https://openalex.org/W2752782242","https://openalex.org/W2754049786","https://openalex.org/W2755371172","https://openalex.org/W2765233338","https://openalex.org/W2765384636","https://openalex.org/W2767002384","https://openalex.org/W2767962654","https://openalex.org/W2768346313","https://openalex.org/W2768348081","https://openalex.org/W2770173563","https://openalex.org/W2772709170","https://openalex.org/W2773726006","https://openalex.org/W2774607536","https://openalex.org/W2774644650","https://openalex.org/W2782630856","https://openalex.org/W2784118834","https://openalex.org/W2785366763","https://openalex.org/W2785430118","https://openalex.org/W2785557471","https://openalex.org/W2786104118","https://openalex.org/W2786118190","https://openalex.org/W2786672974","https://openalex.org/W2786771851","https://openalex.org/W2788193959","https://openalex.org/W2788481061","https://openalex.org/W2788853733","https://openalex.org/W2798302089","https://openalex.org/W2799266338","https://openalex.org/W2799462250","https://openalex.org/W2805516822","https://openalex.org/W2808084211","https://openalex.org/W2810075754","https://openalex.org/W2884150179","https://openalex.org/W2885520603","https://openalex.org/W2888570478","https://openalex.org/W2889210204","https://openalex.org/W2889326414","https://openalex.org/W2896728112","https://openalex.org/W2899771611","https://openalex.org/W2899971035","https://openalex.org/W2901299405","https://openalex.org/W2902240649","https://openalex.org/W2902543210","https://openalex.org/W2903304956","https://openalex.org/W2903675476","https://openalex.org/W2905148628","https://openalex.org/W2905672847","https://openalex.org/W2908007030","https://openalex.org/W2909369566","https://openalex.org/W2911964244","https://openalex.org/W2912724758","https://openalex.org/W2912934387","https://openalex.org/W2916788099","https://openalex.org/W2918342466","https://openalex.org/W2919115771","https://openalex.org/W2945033152","https://openalex.org/W2945790622","https://openalex.org/W2946948417","https://openalex.org/W2947123069","https://openalex.org/W2947657997","https://openalex.org/W2949117887","https://openalex.org/W2953817258","https://openalex.org/W2962711307","https://openalex.org/W2962741697","https://openalex.org/W2962746461","https://openalex.org/W2962750597","https://openalex.org/W2962797416","https://openalex.org/W2962862931","https://openalex.org/W2963026768","https://openalex.org/W2963070423","https://openalex.org/W2963122961","https://openalex.org/W2963207607","https://openalex.org/W2963249138","https://openalex.org/W2963288913","https://openalex.org/W2963341956","https://openalex.org/W2963389226","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963423218","https://openalex.org/W2963440486","https://openalex.org/W2963446712","https://openalex.org/W2963515833","https://openalex.org/W2963612069","https://openalex.org/W2963626858","https://openalex.org/W2963632944","https://openalex.org/W2963693747","https://openalex.org/W2963744840","https://openalex.org/W2963771792","https://openalex.org/W2963778169","https://openalex.org/W2963815651","https://openalex.org/W2963821229","https://openalex.org/W2963857521","https://openalex.org/W2964024268","https://openalex.org/W2964040467","https://openalex.org/W2964081807","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2964289456","https://openalex.org/W2964321317","https://openalex.org/W2964349084","https://openalex.org/W2965658867","https://openalex.org/W2966284335","https://openalex.org/W2969224142","https://openalex.org/W2970567221","https://openalex.org/W2970971581","https://openalex.org/W2971001037","https://openalex.org/W2972087877","https://openalex.org/W2974195721","https://openalex.org/W2975074147","https://openalex.org/W2975773138","https://openalex.org/W2976634804","https://openalex.org/W2977305629","https://openalex.org/W2978740895","https://openalex.org/W2978997459","https://openalex.org/W2979490629","https://openalex.org/W2979949198","https://openalex.org/W2981150028","https://openalex.org/W2982316857","https://openalex.org/W2991040477","https://openalex.org/W2998702515","https://openalex.org/W2999401213","https://openalex.org/W3000779003","https://openalex.org/W3001059052","https://openalex.org/W3003257820","https://openalex.org/W3010243192","https://openalex.org/W3011025453","https://openalex.org/W3013276880","https://openalex.org/W3014367186","https://openalex.org/W3015625436","https://openalex.org/W3038035611","https://openalex.org/W3038113349","https://openalex.org/W3102476541","https://openalex.org/W3104887532","https://openalex.org/W3196513022","https://openalex.org/W4212883601","https://openalex.org/W4213156773","https://openalex.org/W4229494842","https://openalex.org/W4230289604","https://openalex.org/W4238584892","https://openalex.org/W4248437541","https://openalex.org/W4251423297","https://openalex.org/W4288086177","https://openalex.org/W6633992998","https://openalex.org/W6668388963","https://openalex.org/W6674385629","https://openalex.org/W6675354045","https://openalex.org/W6685764666","https://openalex.org/W6713134421","https://openalex.org/W6722226382","https://openalex.org/W6723415496","https://openalex.org/W6730169791","https://openalex.org/W6730236268","https://openalex.org/W6734194636","https://openalex.org/W6734897383","https://openalex.org/W6745344099","https://openalex.org/W6746582238","https://openalex.org/W6747694723","https://openalex.org/W6748111160","https://openalex.org/W6751839145","https://openalex.org/W6752515464","https://openalex.org/W6752654261","https://openalex.org/W6755447188","https://openalex.org/W6756040250","https://openalex.org/W6756946016","https://openalex.org/W6757204547","https://openalex.org/W6776172991"],"related_works":["https://openalex.org/W3179491647","https://openalex.org/W2972764295","https://openalex.org/W2984209734","https://openalex.org/W3134586122","https://openalex.org/W2921646645","https://openalex.org/W2784994977","https://openalex.org/W3183376142","https://openalex.org/W2016323631","https://openalex.org/W2585928444","https://openalex.org/W3145890507","https://openalex.org/W2901418095","https://openalex.org/W2890750613","https://openalex.org/W2136300339","https://openalex.org/W3186257470","https://openalex.org/W3160266346","https://openalex.org/W632601026","https://openalex.org/W2248442760","https://openalex.org/W1976482259","https://openalex.org/W3115306759","https://openalex.org/W2048160144"],"abstract_inverted_index":{"Smarter":[0],"applications":[1],"are":[2,34],"making":[3],"better":[4],"use":[5,115],"of":[6,24,42,76,81,116,130,144,169,177],"the":[7,22,28,31,39,87,95,114,128,145,167,171,175],"insights":[8],"gleaned":[9],"from":[10,37,49],"data,":[11],"having":[12],"an":[13],"impact":[14],"on":[15],"every":[16],"industry":[17],"and":[18,30,50,64,85,104,110,119,148,159,173],"research":[19],"discipline.":[20],"At":[21],"core":[23,146],"this":[25],"revolution":[26],"lies":[27],"tools":[29],"methods":[32],"that":[33,151],"driving":[35,174],"it,":[36],"processing":[38,68],"massive":[40],"piles":[41],"data":[43,102],"generated":[44],"each":[45],"day":[46],"to":[47,89,93,141],"learning":[48,63,132,180],"taking":[51,135],"useful":[52],"action.":[53],"Deep":[54],"neural":[55],"networks,":[56],"along":[57],"with":[58,133,166],"advancements":[59],"in":[60],"classical":[61],"machine":[62,105,131,179],"scalable":[65],"general-purpose":[66],"graphics":[67],"unit":[69],"(GPU)":[70],"computing,":[71,101],"have":[72,152],"become":[73],"critical":[74],"components":[75],"artificial":[77],"intelligence,":[78],"enabling":[79,113],"many":[80],"these":[82],"astounding":[83],"breakthroughs":[84],"lowering":[86],"barrier":[88],"adoption.":[90],"Python":[91,178],"continues":[92],"be":[94],"most":[96],"preferred":[97],"language":[98],"for":[99,163],"scientific":[100],"science,":[103],"learning,":[106],"boosting":[107],"both":[108],"performance":[109],"productivity":[111],"by":[112],"low-level":[117],"libraries":[118,158],"clean":[120],"high-level":[121],"APIs.":[122],"This":[123],"survey":[124],"offers":[125],"insight":[126],"into":[127],"field":[129,176],"Python,":[134],"a":[136],"tour":[137],"through":[138],"important":[139],"topics":[140],"identify":[142],"some":[143],"hardware":[147],"software":[149],"paradigms":[150],"enabled":[153],"it.":[154],"We":[155],"cover":[156],"widely-used":[157],"concepts,":[160],"collected":[161],"together":[162],"holistic":[164],"comparison,":[165],"goal":[168],"educating":[170],"reader":[172],"forward.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-26T00:00:00"}