[ACI Learning / Packt Publishing / O\'Reilly Media] Data Representation and Serialization by Justin Dennison and Aubri Spurgin [2024, ENG + Sub]

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Post 13-Jun-2024 10:55

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Data Representation and Serialization
Год выпуска: May 2024
Производитель: Published by ACI Learning and Packt Publishing via O'Reilly Learning
Сайт производителя: https://learning.oreilly.com/course/data-representation-and/9781836209959/
Автор: Justin Dennison and Aubri Spurgin
Продолжительность: 11h 1m
Тип раздаваемого материала: Видеоурок
Язык: Английский + субтитры
Описание:
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.
What you will learn
• Explore and manipulate CSV files using the csv module, pandas, and tablib.
• Understand and manage JSON files with json, pandas, simplejson, and ujson.
• Work with YAML files using PyYAML and tablib.
• Handle XML and HTML files with xml, lxml, xmltodict, and BeautifulSoup.

Содержание

Chapter 1 CSV
Chapter 2 JSON
Chapter 3 YAML
Chapter 4 XML and HTML
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: AVC, 1280×720, 16:9, 30.000 fps, 3 000 kb/s (0.017 bit/pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

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