The Python Type System. From duck typing to static typing

The Python Type System. From duck typing to static typing, available at $84.99, with 26 lectures, and has 2 subscribers.

You will learn about How to fix bugs faster by understanding runtime error messages better To prevent common type problems by using best type system practices How to use static type checkers and type hints to improve code quality To detect architectural problems earlier by using protocol classes with type hints The proper terminology of type features that you already are using today How attribute lookup and dynamic typing are the key to duck typing in Python To make the transition from another language more effective by learning Python’s unique language features and type system How variables work with type inference and inspecting their type tags This course is ideal for individuals who are Beginners and intermediates who want to know the mechanics and purpose of types and type systems in Python or Software engineers who want to use the type system as an extra development tool by adding type hints to improve their code quality or Developers who want to learn the proper terminology to make discussing code in your team and searching for information online more efficient It is particularly useful for Beginners and intermediates who want to know the mechanics and purpose of types and type systems in Python or Software engineers who want to use the type system as an extra development tool by adding type hints to improve their code quality or Developers who want to learn the proper terminology to make discussing code in your team and searching for information online more efficient.

Enroll now: The Python Type System. From duck typing to static typing

Summary

Title: The Python Type System. From duck typing to static typing

Price: $84.99

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

How to fix bugs faster by understanding runtime error messages better

To prevent common type problems by using best type system practices

How to use static type checkers and type hints to improve code quality

To detect architectural problems earlier by using protocol classes with type hints

The proper terminology of type features that you already are using today

How attribute lookup and dynamic typing are the key to duck typing in Python

To make the transition from another language more effective by learning Python’s unique language features and type system

How variables work with type inference and inspecting their type tags

Who Should Attend

Beginners and intermediates who want to know the mechanics and purpose of types and type systems in Python

Software engineers who want to use the type system as an extra development tool by adding type hints to improve their code quality

Developers who want to learn the proper terminology to make discussing code in your team and searching for information online more efficient

Target Audiences

Beginners and intermediates who want to know the mechanics and purpose of types and type systems in Python

Software engineers who want to use the type system as an extra development tool by adding type hints to improve their code quality

Developers who want to learn the proper terminology to make discussing code in your team and searching for information online more efficient

It is easy to forget about types in Python. After all, you type a equals 10 and it just works. No need to tell python the type of a. But actually, behind the simplicity of the Python language, there is a very sophisticated type system. In fact, Python has a combination of different type systems as you will learn in this course.

You might wonderwhy learn types at all? Surely you already know how to work with types in python! It is entirely possible to use types every day without understanding the mechanics behind them. But as with everything else in software engineering, once you learn HOW and WHY it works, you can make more informed choices when designing your systems.

Target audience

Developers who especially benefit from this course, are:

Beginners and intermediates who want to know the mechanics and purpose of types and type systems in Python

Software engineers who want to use the type system as an extra development tool by adding type hints to improve their code quality

Developers who want to learn the proper terminology to make discussing code in your team and searching for information online more efficient

Challenges

Python is an easy language to learn. It hides many of the nuances about data types. But when developers get more experienced, they are more confronted with Python’s unique way to create, instantiate and work with data types. It is at this moment where it helps to take a deep dive into Types and Type Systems.

What can you do after this course?

Fix bugs faster by understanding error messages better

Prevent common type problems by knowing type system techniques

Make classes more efficient by using Python’s unique language features

Create clean modular design by using Protocol classes and type hints

Discuss pro’s and con’s of proposed solutions by learning proper technical terms

Make the transition from another language to Python more efficient

Topics

Introduction to type systems: Type system categories and their basic building blocks: types.

Implicit vs. explicit typing: Literals, variables and attributes.

Dynamic vs. static typing: Duck typing, Python protocols and the Python Datamodel, Compilers and interpreters.

Type Hints: Annotations, static type checkers, kind of types, special typing constructs.

Type flexibility: Safe, sound, complete. Promotion, conversion and comparison.

Nominal vs. structural typing: Using composite classes and protocols to design interfaces for modular systems.

Duration

3 hours video time.

The teacher

This course is taught by Loek van den Ouweland, a senior software engineer with 30 years of professional experience. Loek is the creator of Wunderlist for windows, Microsoft To-do and Mahjong for Windows and loves to teach software engineering.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Type Systems Introduction

Lecture 3: Data Types Introduction

Lecture 4: Built-in Types

Lecture 5: Type Errors

Chapter 2: Implicit vs. Explicit

Lecture 1: Literals

Lecture 2: Variables

Lecture 3: Attributes and self

Chapter 3: Dynamic vs. Static

Lecture 1: Dynamic vs. Static introduction

Lecture 2: Duck Typing

Lecture 3: The Python Datamodel

Lecture 4: What is a compiler?

Chapter 4: Type Hints

Lecture 1: Type Hints introduction

Lecture 2: Type Hints

Lecture 3: Sequences and Mapping

Lecture 4: Special Typing Constructs

Lecture 5: Composite

Lecture 6: Dynamic v.s. Static summary

Chapter 5: Type Flexibility

Lecture 1: Type Safety

Lecture 2: Sound and Complete

Lecture 3: Promotion

Lecture 4: Comparison

Chapter 6: Nominal vs. Structural

Lecture 1: Nominal vs. Structural introduction

Lecture 2: Decoupling code

Chapter 7: Conclusion

Lecture 1: Type Systems Conclusion

Lecture 2: Where to go from here (bonus)

Instructors

Loek van den Ouweland
Passionate Python Teacher

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Frequently Asked Questions

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