Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ
John Wiley & Sons, Inc.
[2023]
|
| Edition: | 3rd edition. |
| Series: | For dummies
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781394213146/?ar |
| Summary: | Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. |
| Item Description: | Includes bibliographical references and index. - Description based on print version record. - Print version record |
| Physical Description: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781394213085 1394213085 9781394213146 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-098491148 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228122109.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231127s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 9781394213085 |c electronic bk. |9 978-1-394-21308-5 | ||
| 020 | |a 1394213085 |c electronic bk. |9 1-394-21308-5 | ||
| 020 | |a 9781394213146 |9 978-1-394-21314-6 | ||
| 035 | |a (DE-627-1)098491148 | ||
| 035 | |a (DE-599)KEP098491148 | ||
| 035 | |a (ORHE)9781394213146 | ||
| 035 | |a (DE-627-1)098491148 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.13/3 |2 23/eng/20231221 | |
| 100 | 1 | |a Mueller, John |d 1958- |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Python for data science |c by John Paul Mueller and Luca Massaron |
| 250 | |a 3rd edition. | ||
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons, Inc. |c [2023] | |
| 300 | |a 1 Online-Ressource (1 volume) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a For dummies | |
| 500 | |a Includes bibliographical references and index. - Description based on print version record. - Print version record | ||
| 520 | |a Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Programming languages (Electronic computers) | |
| 650 | 0 | |a Data mining | |
| 700 | 1 | |a Massaron, Luca |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781394213146/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-098491148 |
|---|---|
| _version_ | 1835903253459501056 |
| adam_text | |
| any_adam_object | |
| author | Mueller, John 1958- Massaron, Luca |
| author_facet | Mueller, John 1958- Massaron, Luca |
| author_role | aut aut |
| author_sort | Mueller, John 1958- |
| author_variant | j m jm l m lm |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)098491148 (DE-599)KEP098491148 (ORHE)9781394213146 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 3rd edition. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02112cam a22004212c 4500</leader><controlfield tag="001">ZDB-30-ORH-098491148</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228122109.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231127s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781394213085</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-394-21308-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1394213085</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-394-21308-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781394213146</subfield><subfield code="9">978-1-394-21314-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)098491148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP098491148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781394213146</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)098491148</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.13/3</subfield><subfield code="2">23/eng/20231221</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mueller, John</subfield><subfield code="d">1958-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Python for data science</subfield><subfield code="c">by John Paul Mueller and Luca Massaron</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">3rd edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons, Inc.</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">illustrations</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">For dummies</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Description based on print version record. - Print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Programming languages (Electronic computers)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Massaron, Luca</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781394213146/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-098491148 |
| illustrated | Illustrated |
| indexdate | 2025-06-25T12:16:20Z |
| institution | BVB |
| isbn | 9781394213085 1394213085 9781394213146 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 volume) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | John Wiley & Sons, Inc. |
| record_format | marc |
| series2 | For dummies |
| spelling | Mueller, John 1958- VerfasserIn aut Python for data science by John Paul Mueller and Luca Massaron 3rd edition. Hoboken, NJ John Wiley & Sons, Inc. [2023] 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For dummies Includes bibliographical references and index. - Description based on print version record. - Print version record Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Python (Computer program language) Programming languages (Electronic computers) Data mining Massaron, Luca VerfasserIn aut |
| spellingShingle | Mueller, John 1958- Massaron, Luca Python for data science Python (Computer program language) Programming languages (Electronic computers) Data mining |
| title | Python for data science |
| title_auth | Python for data science |
| title_exact_search | Python for data science |
| title_full | Python for data science by John Paul Mueller and Luca Massaron |
| title_fullStr | Python for data science by John Paul Mueller and Luca Massaron |
| title_full_unstemmed | Python for data science by John Paul Mueller and Luca Massaron |
| title_short | Python for data science |
| title_sort | python for data science |
| topic | Python (Computer program language) Programming languages (Electronic computers) Data mining |
| topic_facet | Python (Computer program language) Programming languages (Electronic computers) Data mining |
| work_keys_str_mv | AT muellerjohn pythonfordatascience AT massaronluca pythonfordatascience |