Player FM 앱으로 오프라인으로 전환하세요!
Exploring Duck Typing in Python & Dynamics of Monkey Patching
Manage episode 406592186 series 2637014
What are the advantages of determining the type of an object by how it behaves? What coding circumstances are not a good fit for duck typing? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
Christopher covers a recent Real Python tutorial by Leodanis Pozo Ramos titled Duck Typing in Python: Writing Flexible and Decoupled Code. The tutorial explains the concepts of duck typing within object-oriented programming and its use within Python’s built-in tools.
We discuss a recent article on monkey patching in Python. This practice of dynamically modifying a class or module’s behavior at runtime allows for testing, debugging, and experimentation.
We also share several other articles and projects from the Python community, including a news roundup, why names are not the same as objects in Python, using IPython Jupyter magic commands, a discussion about becoming a senior developer, a data exploration challenge, a Python evaluation game, and a terminal UI for regex testing.
This week’s episode is brought to you by Sentry.
Course Spotlight: Pointers and Objects in Python
In this video course, you’ll learn about Python’s object model and see why pointers don’t really exist in Python. You’ll also cover ways to simulate pointers in Python without managing memory.
Topics:
- 00:00:00 – Introduction
- 00:02:38 – Listener feedback
- 00:04:02 – DjangoCon US Call for Proposals
- 00:04:38 – White House Recommends Use of Python
- 00:05:41 – JupyterLab 4.1 and Notebook 7.1 Released
- 00:06:05 – What’s in a Name?
- 00:11:52 – Duck Typing in Python: Writing Flexible and Decoupled Code
- 00:15:07 – Sponsor: Sentry
- 00:16:11 – Using IPython Jupyter Magic Commands
- 00:22:31 – A Guide to Monkey Patching
- 00:25:27 – Falsehoods Junior Developers Believe About Becoming Senior
- 00:33:01 – Video Course Spotlight
- 00:34:11 – Falsehoods continued
- 00:43:43 – Where in the data?
- 00:46:55 – the eval game
- 00:48:03 – rexi: Terminal UI for Regex Testing
- 00:49:43 – Thanks and goodbye
News:
- DjangoCon US Call for Proposals
- White House Recommends Use of Python
- JupyterLab 4.1 and Notebook 7.1 Released
Show Links:
- What’s in a Name? – An article about names in Python, and why they’re not the same as objects. The article discusses reference counts and namespaces.
- Duck Typing in Python: Writing Flexible and Decoupled Code – In this tutorial, you’ll learn about duck typing in Python. It’s a typing system based on objects’ behaviors rather than on inheritance. By taking advantage of duck typing, you can create flexible and decoupled sets of Python classes that you can use together or individually.
- Using IPython Jupyter Magic Commands – “IPython Jupyter Magic commands (e.g. lines in notebook cells starting with % or %%) can decorate a notebook cell, or line, to modify its behavior.” This article shows you how to define them and where they can be useful.
- Monkeying Around With Python: A Guide to Monkey Patching – Monkey patching is the practice of modifying live code. This article shows you how it’s done and why and when to use the practice.
Discussion:
- Falsehoods Junior Developers Believe About Becoming Senior – This opinion piece by Vadim discusses how newer developers perceive what it means to be a senior developer, and how they’re often wrong.
Projects:
Additional Links:
- Pointers in Python: What’s the Point? – Real Python
- Unlock IPython’s Magical Toolbox for Your Coding Journey – Real Python
- Episode #88: Discussing Type Hints, Protocols, and Ducks in Python – The Real Python Podcast
- saul.pw
- BlueBird Shell
Level up your Python skills with our expert-led courses:
226 에피소드
Manage episode 406592186 series 2637014
What are the advantages of determining the type of an object by how it behaves? What coding circumstances are not a good fit for duck typing? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
Christopher covers a recent Real Python tutorial by Leodanis Pozo Ramos titled Duck Typing in Python: Writing Flexible and Decoupled Code. The tutorial explains the concepts of duck typing within object-oriented programming and its use within Python’s built-in tools.
We discuss a recent article on monkey patching in Python. This practice of dynamically modifying a class or module’s behavior at runtime allows for testing, debugging, and experimentation.
We also share several other articles and projects from the Python community, including a news roundup, why names are not the same as objects in Python, using IPython Jupyter magic commands, a discussion about becoming a senior developer, a data exploration challenge, a Python evaluation game, and a terminal UI for regex testing.
This week’s episode is brought to you by Sentry.
Course Spotlight: Pointers and Objects in Python
In this video course, you’ll learn about Python’s object model and see why pointers don’t really exist in Python. You’ll also cover ways to simulate pointers in Python without managing memory.
Topics:
- 00:00:00 – Introduction
- 00:02:38 – Listener feedback
- 00:04:02 – DjangoCon US Call for Proposals
- 00:04:38 – White House Recommends Use of Python
- 00:05:41 – JupyterLab 4.1 and Notebook 7.1 Released
- 00:06:05 – What’s in a Name?
- 00:11:52 – Duck Typing in Python: Writing Flexible and Decoupled Code
- 00:15:07 – Sponsor: Sentry
- 00:16:11 – Using IPython Jupyter Magic Commands
- 00:22:31 – A Guide to Monkey Patching
- 00:25:27 – Falsehoods Junior Developers Believe About Becoming Senior
- 00:33:01 – Video Course Spotlight
- 00:34:11 – Falsehoods continued
- 00:43:43 – Where in the data?
- 00:46:55 – the eval game
- 00:48:03 – rexi: Terminal UI for Regex Testing
- 00:49:43 – Thanks and goodbye
News:
- DjangoCon US Call for Proposals
- White House Recommends Use of Python
- JupyterLab 4.1 and Notebook 7.1 Released
Show Links:
- What’s in a Name? – An article about names in Python, and why they’re not the same as objects. The article discusses reference counts and namespaces.
- Duck Typing in Python: Writing Flexible and Decoupled Code – In this tutorial, you’ll learn about duck typing in Python. It’s a typing system based on objects’ behaviors rather than on inheritance. By taking advantage of duck typing, you can create flexible and decoupled sets of Python classes that you can use together or individually.
- Using IPython Jupyter Magic Commands – “IPython Jupyter Magic commands (e.g. lines in notebook cells starting with % or %%) can decorate a notebook cell, or line, to modify its behavior.” This article shows you how to define them and where they can be useful.
- Monkeying Around With Python: A Guide to Monkey Patching – Monkey patching is the practice of modifying live code. This article shows you how it’s done and why and when to use the practice.
Discussion:
- Falsehoods Junior Developers Believe About Becoming Senior – This opinion piece by Vadim discusses how newer developers perceive what it means to be a senior developer, and how they’re often wrong.
Projects:
Additional Links:
- Pointers in Python: What’s the Point? – Real Python
- Unlock IPython’s Magical Toolbox for Your Coding Journey – Real Python
- Episode #88: Discussing Type Hints, Protocols, and Ducks in Python – The Real Python Podcast
- saul.pw
- BlueBird Shell
Level up your Python skills with our expert-led courses:
226 에피소드
모든 에피소드
×플레이어 FM에 오신것을 환영합니다!
플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.