Pandas workout: 200 exercises to make you a stronger data analyst
Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Shelter Island, New York]
Manning Publications
[2024]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781617299728AU/?ar |
| Zusammenfassung: | Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You'll explore pandas' rich functionality for string and date/time handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed July 2, 2024) |
| Umfang: | 1 Online-Ressource (1 sound file (11 hr., 22 min.)) |
Internformat
MARC
| LEADER | 00000nam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-106392778 | ||
| 003 | DE-627-1 | ||
| 005 | 20240819122017.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240819s2024 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627-1)106392778 | ||
| 035 | |a (DE-599)KEP106392778 | ||
| 035 | |a (ORHE)9781617299728AU | ||
| 035 | |a (DE-627-1)106392778 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.13/3 |2 23/eng/20240702 | |
| 100 | 1 | |a Lerner, Reuven |d 1970- |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Pandas workout |b 200 exercises to make you a stronger data analyst |c Reuven M. Lerner |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Shelter Island, New York] |b Manning Publications |c [2024] | |
| 300 | |a 1 Online-Ressource (1 sound file (11 hr., 22 min.)) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from title details screen (O'Reilly, viewed July 2, 2024) | ||
| 520 | |a Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You'll explore pandas' rich functionality for string and date/time handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Open source software | |
| 650 | 0 | |a Data mining | |
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Application program interfaces (Computer software) | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a Logiciels libres | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Interfaces de programmation d'applications | |
| 650 | 4 | |a APIs (interfaces) | |
| 650 | 4 | |a Audiobooks | |
| 650 | 4 | |a Livres audio | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781617299728AU/?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 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-106392778 |
|---|---|
| _version_ | 1831287143664713728 |
| adam_text | |
| any_adam_object | |
| author | Lerner, Reuven 1970- |
| author_facet | Lerner, Reuven 1970- |
| author_role | aut |
| author_sort | Lerner, Reuven 1970- |
| author_variant | r l rl |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)106392778 (DE-599)KEP106392778 (ORHE)9781617299728AU |
| 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 | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02182nam a22004692c 4500</leader><controlfield tag="001">ZDB-30-ORH-106392778</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240819122017.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240819s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)106392778</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP106392778</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781617299728AU</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)106392778</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/20240702</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lerner, Reuven</subfield><subfield code="d">1970-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Pandas workout</subfield><subfield code="b">200 exercises to make you a stronger data analyst</subfield><subfield code="c">Reuven M. Lerner</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Shelter Island, New York]</subfield><subfield code="b">Manning Publications</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 sound file (11 hr., 22 min.))</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="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed July 2, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You'll explore pandas' rich functionality for string and date/time handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project.</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">Open source software</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application program interfaces (Computer software)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels libres</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Interfaces de programmation d'applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">APIs (interfaces)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Livres audio</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/-/9781617299728AU/?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-106392778 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:25:14Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 sound file (11 hr., 22 min.)) |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Manning Publications |
| record_format | marc |
| spelling | Lerner, Reuven 1970- VerfasserIn aut Pandas workout 200 exercises to make you a stronger data analyst Reuven M. Lerner [First edition]. [Shelter Island, New York] Manning Publications [2024] 1 Online-Ressource (1 sound file (11 hr., 22 min.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed July 2, 2024) Pandas Workout is a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You'll explore pandas' rich functionality for string and date/time handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project. Python (Computer program language) Open source software Data mining Big data Application program interfaces (Computer software) Python (Langage de programmation) Logiciels libres Exploration de données (Informatique) Interfaces de programmation d'applications APIs (interfaces) Audiobooks Livres audio |
| spellingShingle | Lerner, Reuven 1970- Pandas workout 200 exercises to make you a stronger data analyst Python (Computer program language) Open source software Data mining Big data Application program interfaces (Computer software) Python (Langage de programmation) Logiciels libres Exploration de données (Informatique) Interfaces de programmation d'applications APIs (interfaces) Audiobooks Livres audio |
| title | Pandas workout 200 exercises to make you a stronger data analyst |
| title_auth | Pandas workout 200 exercises to make you a stronger data analyst |
| title_exact_search | Pandas workout 200 exercises to make you a stronger data analyst |
| title_full | Pandas workout 200 exercises to make you a stronger data analyst Reuven M. Lerner |
| title_fullStr | Pandas workout 200 exercises to make you a stronger data analyst Reuven M. Lerner |
| title_full_unstemmed | Pandas workout 200 exercises to make you a stronger data analyst Reuven M. Lerner |
| title_short | Pandas workout |
| title_sort | pandas workout 200 exercises to make you a stronger data analyst |
| title_sub | 200 exercises to make you a stronger data analyst |
| topic | Python (Computer program language) Open source software Data mining Big data Application program interfaces (Computer software) Python (Langage de programmation) Logiciels libres Exploration de données (Informatique) Interfaces de programmation d'applications APIs (interfaces) Audiobooks Livres audio |
| topic_facet | Python (Computer program language) Open source software Data mining Big data Application program interfaces (Computer software) Python (Langage de programmation) Logiciels libres Exploration de données (Informatique) Interfaces de programmation d'applications APIs (interfaces) Audiobooks Livres audio |
| work_keys_str_mv | AT lernerreuven pandasworkout200exercisestomakeyouastrongerdataanalyst |