Shownotes Transcript
Does Python round numbers the same way you learned back in math class? You might be surprised by the default method Python uses and the variety of ways to round numbers in Python. Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
Christopher discusses his recent video course, “Rounding Numbers in Python.” He covers rounding bias and how to avoid introducing it into your dataset. We dig into the various rounding strategies and how to implement them in Python.
We also share several other articles and projects from the Python community, including a news roundup, a fast Python linter for error-free and maintainable code, the decline of the user interface, more thoughts on Python in Excel, a discussion about calendar versioning for Python, a financial database as a Python module, and a project to prettify the colors of your terminal user interfaces.
This episode is sponsored by Sentry.
Course Spotlight: Rounding Numbers in Python)
In this video course, you’ll learn about the mistakes you might make when rounding numbers and how to best manage or avoid them. It’s a great place to start for the early to intermediate Python developer who’s interested in using Python for finance, data science, or scientific computing.
Topics:
00:00:00 – Introduction
00:02:06 – NumPy 2.0.0 Release Notes
00:02:52 – Python 3.13.0 beta 3 released
00:03:05 – Announcing the PSF Board Candidates for 2024!
00:03:27 – Prohibiting Outlook Email Domains
00:04:31 – Ruff: A Python Linter for Error-Free and Maintainable Code
00:09:31 – Sponsor: Sentry
00:10:35 – The Decline of the User Interface
00:19:14 – My Thoughts on Python in Excel
00:26:30 – Rounding Numbers in Python
00:30:53 – Video Course Spotlight
00:32:13 – PEP 2026: Calendar Versioning for Python
00:42:37 – Financial Database as a Python Module
00:45:34 – prettypretty: Build Awesome Terminal User Interfaces
00:47:48 – Thanks and goodbye
News:
NumPy 2.0.0 Release Notes — NumPy v2.0 Manual) – The long awaited 2.0 release of NumPy landed this week. Not all the docs are up to date yet, but this final draft of the release notes shows you what is included.
Python Software Foundation News: Announcing the PSF Board Candidates for 2024!)
Prohibiting Outlook Email Domains) – Due to an inordinate amount of bot accounts coming from outlook.com and hotmail.com, PyPI has disallowed new account sign-ups with email addresses from these domains.
Show Links:
Ruff: A Python Linter for Error-Free and Maintainable Code) – Ruff is an extremely fast, modern linter with a simple interface, making it straightforward to use. It also aims to be a drop-in replacement for other linting and formatting tools, like Pylint, isort, and Black. It’s no surprise it’s quickly becoming one of the most popular Python linters.
The Decline of the User Interface) – “Software has never looked cooler, but user interface design and user experience have taken a sharp turn for the worse.”
My Thoughts on Python in Excel) – Microsoft’s new Python in Excel functionality was released almost a year ago. Having now had time to play with it, Felix gives his take.
Rounding Numbers in Python) – In this video course, you’ll learn about the mistakes you might make when rounding numbers and how to best manage or avoid them. It’s a great place to start for the early to intermediate Python developer who’s interested in using Python for finance, data science, or scientific computing.
Discussion:
PEP 2026: Calendar Versioning for Python) – This PEP proposes updating the versioning scheme for Python to include the calendar year. This aims to make the support lifecycle clear by making it easy to see when a version was first released, and easier to work out when it will reach end of life (EOL).
Projects:
Additional Links:
Python Resources for working with Excel - Working with Excel Files in Python)
Episode #186: Exploring Python in Excel – The Real Python Podcast)
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