Do you need to transfer an extensive data collection for a science project? What’s the best way to send executable code over the wire for distributed processing? What are the different ways to serialize data in Python? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
Christopher shares a tutorial by Real Python author Bartosz Zaczyński called “Serialize Your Data With Python.” This comprehensive guide moves beyond XML and JSON to explore multiple data formats and their potential use cases. It’s a deep dive into the topic and provides a thorough resource for future reference.
We also discuss a Real Python tutorial about naming conventions in Python that use single and double underscores. The piece covers differentiating between public and non-public names in APIs, writing safe classes for subclassing purposes, and avoiding name clashes with keywords.
We also share several other articles and projects from the Python community, including a couple of release announcements and news items, a discussion about never being taught how to construct quality software, building a small REPL in Python, using the key
parameter in Python functions and methods, a framework for RESTful APIs using Flask and SQLAlchemy, and a Rust-based HTML sanitizer for your Python projects.
Course Spotlight: Writing Beautiful Pythonic Code With PEP 8)
Learn how to write high-quality, readable code by using the Python style guidelines laid out in PEP 8. Following these guidelines helps you make a great impression when sharing your work with potential employers and collaborators. This course outlines the key guidelines laid out in PEP 8. It’s aimed at beginner to intermediate programmers.
Topics:
00:00:00 – Introduction
00:02:47 – JIT Coming to Python 3.13
00:03:13 – A copy-and-patch JIT compiler - Pull Request #113465
00:03:54 – Django bugfix releases issued: 4.2.9 and 5.0.1
00:04:24 – Single and Double Underscores in Python Names
00:16:42 – Building a Small REPL in Python
00:20:07 – The Key to the key
Parameter in Python
00:25:23 – Video Course Spotlight
00:26:44 – Serialize Your Data With Python
00:30:23 – You Are Never Taught How to Build Quality Software
00:48:43 – flask-muck: RESTful APIs Using Flask and SQLAlchemy
00:51:26 – nh3: Python binding to Ammonia HTML sanitizer Rust crate
00:53:33 – Thanks and goodbye
News:
JIT Coming to Python 3.13) – Slides related to the upcoming JIT commit for Python 3.13. Note that GitHub paginates the slides if you don’t download them, so click the More Pages button to keep reading.
A copy-and-patch JIT compiler by brandtbucher - Pull Request #113465)
Django bugfix releases issued: 4.2.9 and 5.0.1 - Weblog Django)
Show Links:
Single and Double Underscores in Python Names) – In this tutorial, you’ll learn a few Python naming conventions involving single and double underscores (_
). You’ll learn how to use this character to differentiate between public and non-public names in APIs, write safe classes for subclassing purposes, avoid name clashes, and more.
Building a Small REPL in Python) – Learn how to write your own REPL by building on top of the one that comes with Python. With a few lines of code, you can customize Python’s REPL environment as your own.
The Key to the key
Parameter in Python) – A parameter named key
is present in several Python functions, such as sorted()
. This article explores what it is and how to use it.
Serialize Your Data With Python) – In this in-depth tutorial, you’ll explore the world of data serialization in Python. You’ll compare and use different data serialization formats, serialize Python objects and executable code, and handle HTTP message payloads.
Discussion:
You Are Never Taught How to Build Quality Software) – Learning how to build quality software isn’t part of computer science education. How do we learn it?
Projects:
Additional Links:
Python’s Magic Methods: Leverage Their Power in Your Classes – Real Python)
A Philosophy of Software Design - John Ousterhout - Talks at Google - YouTube)
Episode #49: The Challenges of Developing Into a Python Professional – The Real Python Podcast)
Django: Sanitize Incoming HTML Fragments With nh3
) – Allowing users to input HTML in comments or blog posts is problematic and can lead to exploits on your site. For years, the Django community used django-bleach
, but since its deprecation, Adam has been using nh3
, a Rust-based HTML sanitizer.
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