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Exploring HTTP Debug: A Tool for HTTPS Inspection
This chapter presents the HTTP Debug project, a tool aimed at simplifying the debugging of HTTPS interactions. Listeners learn how to use it from the command line to access detailed information about network requests and responses, while also being invited to share ideas and feedback.
Have you wanted the flexibility of f-strings but need safety checks in place? What if you could have deferred evaluation for logging or avoiding injection attacks? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
We discuss a set of recent Python Enhancement Proposals (PEPs). The idea of template strings has been under consideration for a while, and PEP 750 describes a new way forward. PEP 759 proposes a way for projects on PyPI to safely host resources on external sites using a new package upload format called a .rim file.
We share several other articles and projects from the Python community, including what didn’t make the headlines about Python 3.13, solving Sudoku with Python packaging, what’s sweet about Python’s syntactic sugar, creating database-generated columns using SQLite and Django, a discussion about mentoring, an adaptive web scraper, and a debugging tool for HTTP(S) client requests.
This episode is sponsored by Sentry.
Course Spotlight: Using Pydantic to Simplify Python Data Validation
Discover the power of Pydantic, Python’s most popular data parsing, validation, and serialization library. In this hands-on video course, you’ll learn how to make your code more robust, trustworthy, and easier to debug with Pydantic.
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pdb
, improvements to shutil
, and small additions to the asyncio library.sudoku-0-3==5
represents the (0,3) cell’s answer of 5.Discussion:
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