Data representation and serialization:
Embark on a journey to master essential data formats crucial for any data-driven professional. The course begins with a deep dive into CSV files, teaching you how to explore and manipulate them using Python's csv module and the powerful pandas and tablib packages. You'll learn the ins and...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Körperschaft: | |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Birmingham, United Kingdom]
Packt Publishing Ltd.
[2024]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781836209959/?ar |
| Zusammenfassung: | Embark on a journey to master essential data formats crucial for any data-driven professional. The course begins with a deep dive into CSV files, teaching you how to explore and manipulate them using Python's csv module and the powerful pandas and tablib packages. You'll learn the ins and outs of CSV files, ensuring you can handle them with ease and efficiency. Moving forward, the focus shifts to JSON files, where you'll understand their structure and how to work with them using the json module. The course further explores advanced JSON handling with pandas and introduces you to additional packages like simplejson, ujson, and tablib. This segment ensures you are well-equipped to manage JSON data in various contexts. The course also covers YAML, XML, and HTML files, providing a comprehensive understanding of each format. You'll explore YAML files and use the PyYAML and tablib packages for effective manipulation. The XML and HTML sections delve into their respective file structures, and you'll learn to use the xml, lxml, xmltodict, and BeautifulSoup packages. By the end of this course, you'll be proficient in handling these diverse data formats, significantly boosting your data processing capabilities. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed June 3, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (11 hr., 2 min.)) sound, color. |
| ISBN: | 9781836209959 1836209959 |
Internformat
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| discipline | Informatik |
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| id | ZDB-30-ORH-104371005 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:12Z |
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| isbn | 9781836209959 1836209959 |
| language | English |
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| physical | 1 Online-Ressource (1 video file (11 hr., 2 min.)) sound, color. |
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| spelling | Data representation and serialization [First edition]. [Birmingham, United Kingdom] Packt Publishing Ltd. [2024] 1 Online-Ressource (1 video file (11 hr., 2 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed June 3, 2024) Embark on a journey to master essential data formats crucial for any data-driven professional. The course begins with a deep dive into CSV files, teaching you how to explore and manipulate them using Python's csv module and the powerful pandas and tablib packages. You'll learn the ins and outs of CSV files, ensuring you can handle them with ease and efficiency. Moving forward, the focus shifts to JSON files, where you'll understand their structure and how to work with them using the json module. The course further explores advanced JSON handling with pandas and introduces you to additional packages like simplejson, ujson, and tablib. This segment ensures you are well-equipped to manage JSON data in various contexts. The course also covers YAML, XML, and HTML files, providing a comprehensive understanding of each format. You'll explore YAML files and use the PyYAML and tablib packages for effective manipulation. The XML and HTML sections delve into their respective file structures, and you'll learn to use the xml, lxml, xmltodict, and BeautifulSoup packages. By the end of this course, you'll be proficient in handling these diverse data formats, significantly boosting your data processing capabilities. Data structures (Computer science) Programming languages (Electronic computers) Structures de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Dennison, Justin VerfasserIn aut Spurgin, Aubri VerfasserIn aut ACI Learning (Firm), MitwirkendeR ctb Packt Publishing, Verlag pbl |
| spellingShingle | Dennison, Justin Spurgin, Aubri Data representation and serialization Data structures (Computer science) Programming languages (Electronic computers) Structures de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | Data representation and serialization |
| title_auth | Data representation and serialization |
| title_exact_search | Data representation and serialization |
| title_full | Data representation and serialization |
| title_fullStr | Data representation and serialization |
| title_full_unstemmed | Data representation and serialization |
| title_short | Data representation and serialization |
| title_sort | data representation and serialization |
| topic | Data structures (Computer science) Programming languages (Electronic computers) Structures de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Data structures (Computer science) Programming languages (Electronic computers) Structures de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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