Python Data Analysis :: Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python /
Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodol...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2021
|
Ausgabe: | Third edition. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. |
Beschreibung: | Description based upon print version of record. |
Beschreibung: | 1 online resource (463 pages) |
ISBN: | 9781789953459 1789953456 |
Internformat
MARC
LEADER | 00000cam a2200000Mu 4500 | ||
---|---|---|---|
001 | ZDB-4-EBA-on1235599035 | ||
003 | OCoLC | ||
005 | 20241004212047.0 | ||
006 | m o d | ||
007 | cr unuuuuuuuuu | ||
008 | 210130s2021 xx o ||| 0 eng d | ||
040 | |a EBLCP |b eng |c EBLCP |d NLW |d YDX |d KMS |d OCLCO |d N$T |d TEFOD |d OCLCO |d OCLCQ |d IEEEE |d OCLCO |d OCLCL |d TMA |d OCLCQ | ||
019 | |a 1249693394 | ||
020 | |a 9781789953459 | ||
020 | |a 1789953456 | ||
020 | |z 9781789955248 | ||
035 | |a (OCoLC)1235599035 |z (OCoLC)1249693394 | ||
037 | |a F5D278BF-5802-4A5C-94B7-6603744055C3 |b OverDrive, Inc. |n http://www.overdrive.com | ||
037 | |a 10163464 |b IEEE | ||
050 | 4 | |a QA76.73.P98 |b N385 2021 | |
082 | 7 | |a 005.133 |2 23 | |
049 | |a MAIN | ||
100 | 1 | |a Navlani, Avinash. | |
245 | 1 | 0 | |a Python Data Analysis : |b Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / |c Avinash Navlani, Armando Fandango, Ivan Idris. |
250 | |a Third edition. | ||
264 | 1 | |a Birmingham : |b Packt Publishing, Limited, |c 2021 | |
300 | |a 1 online resource (463 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
500 | |a Description based upon print version of record. | ||
505 | 0 | |a Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing. | |
520 | |a Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. | ||
650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
650 | 0 | |a Electronic data processing. |0 http://id.loc.gov/authorities/subjects/sh85042288 | |
650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
650 | 6 | |a Python (Langage de programmation) | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Exploration de données (Informatique) | |
650 | 7 | |a COMPUTERS |x Data Modeling & Design. |2 bisacsh | |
650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
650 | 7 | |a COMPUTERS |x Data Visualization. |2 bisacsh | |
650 | 7 | |a Data mining |2 fast | |
650 | 7 | |a Electronic data processing |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
650 | 7 | |a Python (Computer program language) |2 fast | |
700 | 1 | |a Fandango, Armando. | |
700 | 1 | |a Idris, Ivan. | |
758 | |i has work: |a Python data analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGkTPBJgJQQFgBf6G8YGd3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |a Navlani, Avinash |t Python Data Analysis - Third Edition |d Birmingham : Packt Publishing, Limited,c2021 |
856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725992 |3 Volltext |
938 | |a YBP Library Services |b YANK |n 301879613 | ||
938 | |a ProQuest Ebook Central |b EBLB |n EBL6462897 | ||
938 | |a EBSCOhost |b EBSC |n 2725992 | ||
994 | |a 92 |b GEBAY | ||
912 | |a ZDB-4-EBA | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-on1235599035 |
---|---|
_version_ | 1816882537785458688 |
adam_text | |
any_adam_object | |
author | Navlani, Avinash |
author2 | Fandango, Armando Idris, Ivan |
author2_role | |
author2_variant | a f af i i ii |
author_facet | Navlani, Avinash Fandango, Armando Idris, Ivan |
author_role | |
author_sort | Navlani, Avinash |
author_variant | a n an |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA76 |
callnumber-raw | QA76.73.P98 N385 2021 |
callnumber-search | QA76.73.P98 N385 2021 |
callnumber-sort | QA 276.73 P98 N385 42021 |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing. |
ctrlnum | (OCoLC)1235599035 |
dewey-full | 005.133 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.133 |
dewey-search | 005.133 |
dewey-sort | 15.133 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
edition | Third edition. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03380cam a2200637Mu 4500</leader><controlfield tag="001">ZDB-4-EBA-on1235599035</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr unuuuuuuuuu</controlfield><controlfield tag="008">210130s2021 xx o ||| 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">EBLCP</subfield><subfield code="b">eng</subfield><subfield code="c">EBLCP</subfield><subfield code="d">NLW</subfield><subfield code="d">YDX</subfield><subfield code="d">KMS</subfield><subfield code="d">OCLCO</subfield><subfield code="d">N$T</subfield><subfield code="d">TEFOD</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">IEEEE</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">TMA</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1249693394</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789953459</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1789953456</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781789955248</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1235599035</subfield><subfield code="z">(OCoLC)1249693394</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">F5D278BF-5802-4A5C-94B7-6603744055C3</subfield><subfield code="b">OverDrive, Inc.</subfield><subfield code="n">http://www.overdrive.com</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">10163464</subfield><subfield code="b">IEEE</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield><subfield code="b">N385 2021</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Navlani, Avinash.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python Data Analysis :</subfield><subfield code="b">Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python /</subfield><subfield code="c">Avinash Navlani, Armando Fandango, Ivan Idris.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Third edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing, Limited,</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (463 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh96008834</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Electronic data processing.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85042288</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85079324</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh97002073</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Apprentissage automatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Data Modeling & Design.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Data Processing.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Data Visualization.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Electronic data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Python (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fandango, Armando.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Idris, Ivan.</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Python data analysis (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCGkTPBJgJQQFgBf6G8YGd3</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Navlani, Avinash</subfield><subfield code="t">Python Data Analysis - Third Edition</subfield><subfield code="d">Birmingham : Packt Publishing, Limited,c2021</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725992</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">301879613</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL6462897</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">2725992</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-4-EBA-on1235599035 |
illustrated | Not Illustrated |
indexdate | 2024-11-27T13:30:12Z |
institution | BVB |
isbn | 9781789953459 1789953456 |
language | English |
oclc_num | 1235599035 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (463 pages) |
psigel | ZDB-4-EBA |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Packt Publishing, Limited, |
record_format | marc |
spelling | Navlani, Avinash. Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / Avinash Navlani, Armando Fandango, Ivan Idris. Third edition. Birmingham : Packt Publishing, Limited, 2021 1 online resource (463 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based upon print version of record. Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing. Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Python (Langage de programmation) Apprentissage automatique. Exploration de données (Informatique) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Data Visualization. bisacsh Data mining fast Electronic data processing fast Machine learning fast Python (Computer program language) fast Fandango, Armando. Idris, Ivan. has work: Python data analysis (Text) https://id.oclc.org/worldcat/entity/E39PCGkTPBJgJQQFgBf6G8YGd3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Navlani, Avinash Python Data Analysis - Third Edition Birmingham : Packt Publishing, Limited,c2021 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725992 Volltext |
spellingShingle | Navlani, Avinash Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Python (Langage de programmation) Apprentissage automatique. Exploration de données (Informatique) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Data Visualization. bisacsh Data mining fast Electronic data processing fast Machine learning fast Python (Computer program language) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh85042288 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh97002073 |
title | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / |
title_auth | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / |
title_exact_search | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / |
title_full | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / Avinash Navlani, Armando Fandango, Ivan Idris. |
title_fullStr | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / Avinash Navlani, Armando Fandango, Ivan Idris. |
title_full_unstemmed | Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / Avinash Navlani, Armando Fandango, Ivan Idris. |
title_short | Python Data Analysis : |
title_sort | python data analysis perform data collection data processing wrangling visualization and model building using python |
title_sub | Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / |
topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Electronic data processing. http://id.loc.gov/authorities/subjects/sh85042288 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Python (Langage de programmation) Apprentissage automatique. Exploration de données (Informatique) COMPUTERS Data Modeling & Design. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Data Visualization. bisacsh Data mining fast Electronic data processing fast Machine learning fast Python (Computer program language) fast |
topic_facet | Python (Computer program language) Electronic data processing. Machine learning. Data mining. Python (Langage de programmation) Apprentissage automatique. Exploration de données (Informatique) COMPUTERS Data Modeling & Design. COMPUTERS Data Processing. COMPUTERS Data Visualization. Data mining Electronic data processing Machine learning |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725992 |
work_keys_str_mv | AT navlaniavinash pythondataanalysisperformdatacollectiondataprocessingwranglingvisualizationandmodelbuildingusingpython AT fandangoarmando pythondataanalysisperformdatacollectiondataprocessingwranglingvisualizationandmodelbuildingusingpython AT idrisivan pythondataanalysisperformdatacollectiondataprocessingwranglingvisualizationandmodelbuildingusingpython |