ITProTV – Data representation and serialization 2022-1 – Downloadly

Descriptions

Data representation and serialization. In this series, we’re going to take a look at common formats for storing, reading, and mixing data like Comma Separated Values ​​​​​​(CSV), JavaScript Object Notation (JSON), YAML Ain’t Markup Language (YAML), and eXtensible Markup Language (XML). If you want to learn more about these data formats and how to interact with these different data representations using Python, then we’ve got you covered. We’re going to talk to Justin Denison about data representation and serialization. Well Justin, what does this course have to offer? So this course is about getting familiar with the common ways of representing information or data in different formats, and also how we interact with those who use Python, right? To read and write the appropriate formats. Who is this show for? That’s someone who says, OK, I’ve heard of CSV, but I haven’t heard of all this other stuff. And how do you do that in Python? How do I read this file type in Python? How do I write this kind of file in Python? How do I mangle this CSV data in Python? This is when you are just starting out and you think: I have little or no knowledge and you need to get up to speed so you can do more interesting things

What you will learn

  • CSV
  • JSON
  • YAML
  • XML and HTML

Data representation and serialization specifications

  • Editor: ITProTV
  • Teacher: Justin
  • Language: English
  • Level: All levels
  • Number of courses: 25
  • Duration: 11 hours and 1 minute

Content of data representation and serialization

1. Overview
3. Browse CSV files
4. Use the CSV module
5. Use the CSV module Part 2
6. Use the Pandas package
7. Use the tablib package
8.What is JSON?
9. Explore JSON files
10. JSON Use the JSON module
11. JSON Use the Pandas package
12. Use the simplejson and ujson packages
13. JSON Use the tablib package
14. What is YAML?
15. Discover YAML files
16. Use the PyYAML package
17. YAML Use the tablib package
18.What is XML?
19. Exploring XML files
2. What is CSV?
20.What is HTML?
21. Explore HTML files
22. Use the XML module
23. Use the lxml package
24. Use the xmltodict package
25. Use the BeautifulSoup package

Pictures

Data representation and serialization

Sample clip

installation Guide

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Quality: 720p

Download links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 774 MB

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File size

2.75GB

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