Python Data Model

Python Data Model, available at $54.99, has an average rating of 4.45, with 35 lectures, based on 12 reviews, and has 170 subscribers.

You will learn about Use the double underscore or "magic" methods to shape the behavior of custom classes. Overload operators in Python. Create custom iterables using classes. Create custom context manager classes. This course is ideal for individuals who are Intermediate Python programmers looking to develop more of an understanding of Python's "magic" methods. or Beginner Python programmers looking to level up their game. It is particularly useful for Intermediate Python programmers looking to develop more of an understanding of Python's "magic" methods. or Beginner Python programmers looking to level up their game.

Enroll now: Python Data Model

Summary

Title: Python Data Model

Price: $54.99

Average Rating: 4.45

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Use the double underscore or "magic" methods to shape the behavior of custom classes.
Overload operators in Python.
Create custom iterables using classes.
Create custom context manager classes.

Who Should Attend

Intermediate Python programmers looking to develop more of an understanding of Python's "magic" methods.
Beginner Python programmers looking to level up their game.

Target Audiences

Intermediate Python programmers looking to develop more of an understanding of Python's "magic" methods.
Beginner Python programmers looking to level up their game.

Python Data Model

Python has a set of protocols that the language internally adhere to which provides the functionality for features such as iteration, context manager behavior, string representation of an object, and many other things. When you create custom classes in Python and make use of these protocols then you can create custom behavior in the context of iterations, types, comparison of objects, operator overloading, and much more. Knowing about these will help level up your Python skills. If you are ready to progress forward in your Python prowess, then join us to learn more about the Python data model.

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

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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: Basics

Lecture 1: Overview

Lecture 2: Creating and Initializing an Instance

Lecture 3: Representing an Instance: str and repr

Lecture 4: Representing an Instance: format

Lecture 5: Representing an Instance: bytes

Lecture 6: Deleting an Instance

Chapter 2: Containers

Lecture 1: Objects as Iterables

Lecture 2: Getting Items

Lecture 3: Setting and Deleting Items

Chapter 3: Comparables

Lecture 1: Obtaining the Boolean Representation

Lecture 2: Equality and Inequality

Lecture 3: Greater and Less

Lecture 4: Hashing and Slots

Chapter 4: Numbers

Lecture 1: Adding

Lecture 2: Subtracting

Lecture 3: Multiplying

Lecture 4: Dividing

Lecture 5: Modulo and Powers

Lecture 6: Bit Shiting Operations

Lecture 7: Bitwise Logical Operations

Lecture 8: Negative and Positive

Lecture 9: Absolute Value and Inverse

Lecture 10: Integers and Floats

Lecture 11: Rounding

Lecture 12: Floor and Ceiling

Lecture 13: Truncation and Indexing

Lecture 14: Complex Number

Chapter 5: Attributes

Lecture 1: Getting Attributes

Lecture 2: Setting Attributes

Lecture 3: Descriptors: Property Decorators

Lecture 4: Descriptors: Creating a Custom Descriptor

Chapter 6: Functions

Lecture 1: Making an Object Callable

Chapter 7: Context Managers

Lecture 1: Clean Up with Context Managers

Chapter 8: Serialization

Lecture 1: Copying Objects

Lecture 2: Pickling: Get and Set State

Instructors

ITPro TV
Watch & Learn
Justin Dennison
Software Developer and Instructor

Rating Distribution

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