Data Representation and Serialization

Data Representation and Serialization, available at $59.99, has an average rating of 4.93, with 25 lectures, based on 7 reviews, and has 87 subscribers.

You will learn about Understand and use CSV as a means to store data. Use Python to read and write CSV data. Understand and use JSON as a means to store data. Use Python to read and write JSON data. Understand and use YAML as a means to store data. Use Python to read and write YAML data. Understand and use XML/HTML to store and represent data. Use Python to read, write, and manipulate XML/HTML data. This course is ideal for individuals who are Beginner Python developers looking to understand different data storage formats. It is particularly useful for Beginner Python developers looking to understand different data storage formats.

Enroll now: Data Representation and Serialization

Summary

Title: Data Representation and Serialization

Price: $59.99

Average Rating: 4.93

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand and use CSV as a means to store data.
Use Python to read and write CSV data.
Understand and use JSON as a means to store data.
Use Python to read and write JSON data.
Understand and use YAML as a means to store data.
Use Python to read and write YAML data.
Understand and use XML/HTML to store and represent data.
Use Python to read, write, and manipulate XML/HTML data.

Who Should Attend

Beginner Python developers looking to understand different data storage formats.

Target Audiences

Beginner Python developers looking to understand different data storage formats.

Data Representation and Serialization

In this series, we take a look at common formats for saving, reading, and shuffling data around such as Comma Separated Values (CSV), JavaScript Object Notation (JSON), YAML Ain’t Markup Language (YAML), and eXtensible Markup Language (XML). If you want to know more about these data formats as well as how to interact with these different data representation using Python, then we will see you there!

Course Format

• Binge-worthy TV shows! Watch comprehensive, in-depth episodes that use a talk show-like format to keep you engaged while learning.

• You can pick and choose episodes or you can watch as a complete series.

• A little humor, anecdotes, and real-world examples.

Other Courses

Ready to become a DevPro? Get more DevProTV training with a variety of topics. Join Justin and DevProTV to level up your programming prowess!

Updates and Versions

The programming world updates at a break neck pace. As a result, there are times that certain tools, editors, libraries have changed. While syntax or names may change, the foundations remain the same. Though we hope to keep things updated, there may be time before that can occur. I recommend seeing if you can translate between changes and if all fails, ask questions!

Course Curriculum

Chapter 1: Overview

Lecture 1: Overview

Chapter 2: CSV

Lecture 1: What is CSV?

Lecture 2: Explore CSV Files

Lecture 3: Use csv Module

Lecture 4: Use csv Module Pt. 2

Lecture 5: Use the pandas Package

Lecture 6: Use the tablib Package

Chapter 3: JSON

Lecture 1: What is JSON?

Lecture 2: Explore JSON Files

Lecture 3: JSON: Use the json Module

Lecture 4: JSON: Use the pandas Package

Lecture 5: Use the simplejson and ujson Packages

Lecture 6: JSON: Use the tablib Package

Chapter 4: YAML

Lecture 1: What is YAML?

Lecture 2: Explore YAML Files

Lecture 3: Use the PyYAML Package

Lecture 4: YAML: Use the tablib Package

Chapter 5: XML and HTML

Lecture 1: What is XML?

Lecture 2: Explore XML Files

Lecture 3: What is HTML?

Lecture 4: Explore HTML Files

Lecture 5: Use the xml Module

Lecture 6: Use the lxml Package

Lecture 7: Use the xmltodict Package

Lecture 8: Use the BeautifulSoup Package

Instructors

ITPro TV
Watch & Learn
Justin Dennison
Software Developer and Instructor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 1 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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