Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Test & Code Podcast Patreon Supporters Connect with the hosts Michael: @[email protected] Brian: @[email protected] Show: @[email protected] Special guest: GUEST_PROFILE Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Ruff PyCharm plugin via John Hagen Ruff PyCharm plugin has great integration, it will highlight Ruff lint errors in the IDE as you type and you can even apply Alt+Enter (⌥⏎ on Mac) quick fixes through the IDE. Ruff will automatically fix the fixable issues. John also added additional PyCharm-specific instructions for black/Ruff Brian #2: Writing Python like it's Rust Kobzol Rust lessons guiding use of types and type hints in Python Add type hints tun function signatures Use dataclasses instead of tuples or dictionaries to increase clarity and type safety Union types to clarify | typing Michael #3: Pip 23.1 Released - Massive improvement to backtracking Pip 23.1 was released last month Highlight the significant improvement in backtracking that is part of the requirement resolver process in Pip. This process involves Pip finding a set of packages that meet your requirements and whose requirements themselves don't conflict. Prior to Pip 20.3, the default process for Pip would allow conflicting requirements to install if they were transitive dependencies where the last one specified would be the one installed. Once the new resolver was turned on by default it immediately hit problems where backtracking would get stuck for a long time. Pip separates out the resolution logic into a library called resolvelib. It had been discovered that there was a logical error under certain circumstances, and also there was a known better backtracking technique it could employ called backjumping. Both of these were recently fixed and implemented in resolvelib, which were then vendored in to Pip 23.1. Brian #4: Markdown Code Runner markdown-code-runner is a Python package that automatically executes code blocks within a Markdown file, including hidden code blocks, and updates the output in-place. Works with Python & Bash see also cog Extras Brian: Use code SPRING2023 to get 50% off “Python Testing with pytest, 2nd edition” before June 1. Michael: Python 3.12.0a7 is out python3 -m venv --upgrade-deps venv (via John Hagen) Talk submissions are now open for both remote and in-person talks at the 2023 PyConZA? The conference will be held on 5 and 6 October 2023 in Durban, South Africa. South Africa is GMT+2, so the times are convenient for Africa, Europe and much of Asia, although probably less so for the rest of the world. All details are on za.pycon.org - via Kim van Wik Trail discovery/riding apps onX offroad Gaia Picture of Michael on one of these trails Joke: User Inyerface

Watch on YouTube About the show Sponsored by InfluxDB from Influxdata. Connect with the hosts Michael: @[email protected] Brian: @[email protected] Show: @[email protected] Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Python's Missing Batteries: Essential Libraries You're Missing Out On Martin Heinz Fun collection of a bunch of libraries you may not know about (or forgot about), with code examples. Utilities boltons : iterate through json and dates, quickly grab data out of nested structures, and convert nested data with jsonutils, timeutils, and iterutils sh : conveniently call shell funcitons Data Validation validators : validate email addresses, credit cars, IP addresses, and more. the fuzz : fuzzy string comparisons Debugging stackprinter : nice stack traces with exception messages higlighted Testing freezegun : stop time, change dates, … dirty_equals : comparing things that are kinda equal CLI tqdm : add a progress bar to command line apps Michael #2: awesome-polars A curated list of Polars talks, tools, examples & articles. Mostly articles and tutorials however. Brian #3: Running Headless Selenium in Python (2023) Siddiqi First off, if you are doing automated testing with Selenium, I hope you already know about headless. It’s awesome and speeds up testing. Next, there’s changes to how you code headless, as of Selenium 4.8.0 (Jan. 2023). Old: options.headless` `**=**` `True New: options.add_argument('--headless=new') for Chrome options.add_argument('--headless') for Firefox Reasons: Read Headless is Going Away! post on Selenium blog. Subtitle: “Now that we got your attention, headless is not actually going away, just the convenience method to set it in Selenium” Michael #4: Gracy Gracy helps you handle failures, logging, retries, throttling, and tracking for all your HTTP interactions. Has support for Parsing per status code Throttling Retries Custom validation Record/replay for testing A bit non-pythonic but perhaps inspriation for some out there Extras Michael: Mobile apps are finally out Take the git course for free for a limited time. Michael's blog post announcing the apps Joke: It’s practice

Watch on YouTube About the show Sponsored by InfluxDB from Influxdata. Connect with the hosts Michael: @[email protected] Brian: @[email protected] Show: @[email protected] Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Introducing 'Trusted Publishers’ PyPI package maintainers can adopt a new, more secure publishing method that does not require long-lived passwords or API tokens to be shared with external systems. Our term for using the OpenID Connect (OIDC) standard to exchange short-lived identity tokens between a trusted third-party service and PyPI. Instead, PyPI maintainers can configure PyPI to trust an identity provided by a given OpenID Connect Identity Provider (IdP). These API tokens never need to be stored or shared rotate automatically by expiring quickly provide a verifiable link between a published package and its source Additional security hardening is available Brian #2: Mojo : a new programming language for all AI developers. Mojo may be the biggest programming language advance in decades - fast.ai blog Suggested by many listeners “Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models.” A programming language compatible with Python, with performance similar to C++/Rust. “Mojo is designed to become a superset of Python over time by preserving Python’s dynamic features while adding new primitives for systems programming.” - emphasis from Brian It’s not there yet, but still super cool Built on a MLIR, not LLVM “How compatible is Mojo with Python really? Mojo already supports many core features of Python including async/await, error handling, variadics, etc, but… it is still very early and missing many features - so today it isn’t very compatible. Mojo doesn’t even support classes yet!” Michael #3: django-prose Wonderful rich-text editing for your Django project. Rendering rich-text in templates Small rich-text content (as model fields) Django Prose is using Bleach to only allow certain tags and attributes See the website for a screenshot of it in action Brian #4: pylyzer is a static code analyzer / language server for Python, written in Rust. Shunsuke Shibayama Suggested by Owen Features fast detailed analysis type checking plus things like out-of-bounds accesses to lists, and non-existent key references to dicts more readable reports and a VS Code extension pylyzer vs ruff “Ruff, like pylyzer, is a static code analysis tool for Python written in Rust, but Ruff is a linter and pylyzer is a type checker & language server. pylyzer does not perform linting, and Ruff does not perform type checking.” Some limitations and incomplete “todo list”. See README for more details. Joke: Escape Room

Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Test & Code Podcast Patreon Supporters Connect with the hosts Michael: @[email protected] Brian: @[email protected] Show: @[email protected] Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: rye - Python workflow tool Armin Ronacher Rust built tool, currently only for Linux and MacOS Project workflow commands, like init - new project add - add a dependency (including optional) remove - remove a dependency build - build wheel lock - update lock file virtualenv commands add —dev - install in environment sync - install/update dependencies in env based on pyprojec.toml run - run command within environment Install Python fetch - Fetches a Python interpreter for the local machine Register existing Python toolchain Helper utility to manage Python toolchains Kinda like pipx install - Installs a package as global tool uninstall - Uninstalls a global tool I didn’t see that it added anything to my PATH, so this addition made it work: Bonus Everything lives under ~/.rye So it’s easy to stop using, and doesn’t muck up see also Simon Willison’s A few notes on Rye Python Bytes #332, where we talked about huak Michael #2: PyPI Organizations The first step in our plan to build financial support and long-term sustainability of the Python Packaging Index (PyPI) Small fee for organizations rather than individual users Like Github orgs Brian #3: 5 tips to learn any new Python library faster Bob Belderbos The tiips RTFM - at lest the getting started docs Install it Explore the library - play. Bob recommends Jupyter notebook for this. Apply it to a real world problem - deliberate practice Build something with it (bonus) Teach it - blog, TIL, video tutorial, etc. Michael #4: Python gets down to (the) Metal Extras Brian: frogmouth - Markdown viewer / browser for your terminal, built with Textual. Michael: Was going to talk about Serenade, but seems to have gone silent. Packaging follow up discussion. Joke: It’s the progress that counts

Watch on YouTube Sponsored by us! Support our work through: Our courses at Talk Python Training Test & Code Podcast Patreon Supporters Connect with the hosts Michael: @[email protected] Brian: @[email protected] Show: @[email protected] Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Introducing Microsoft Security Copilot Security Copilot combines this advanced large language model (LLM) with a security-specific model from Microsoft. When Security Copilot receives a prompt from a security professional, it uses the full power of the security-specific model to deploy skills and queries that maximize the value of the latest large language model capabilities. Your data and stays within your control. It is not used to train the foundation AI models, and in fact, it is protected by the most comprehensive enterprise compliance and security controls. Brian #2: PEP 695 – Type Parameter Syntax “This PEP specifies an improved syntax for specifying type parameters within a generic class, function, or type alias. It also introduces a new statement for declaring type aliases.” To get a feel for this, jump to the examples One example Here is an example of a generic function today. from typing import TypeVar _T = TypeVar("_T") def func(a: _T, b: _T) -> _T: ... - And the new syntax. def func[T](a: T, b: T) -> T: ... Michael #3: Auto-GPT An experimental open-source attempt to make GPT-4 fully autonomous. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. Features 🌐 Internet access for searches and information gathering 💾 Long-term and short-term memory management 🧠 GPT-4 instances for text generation 🔗 Access to popular websites and platforms 🗃️ File storage and summarization with GPT-3.5 Brian #4: Astral : Ruff is now a company Charlie Marsh announces Astral, starting off with a healthy $4m in seed money. Not a bad start Astral will continue building high-performance developer tools for the Python ecosystem — to keep building Ruff, and to build more Ruff-like things. “to make the Python ecosystem more productive by building high-performance developer tools.” Undoubtedly Rust-ifying more of the Python tool chain. Related: In a discussion at PyCon, someone asked me if Ruff was a replacement for Black. My answer, “not really, more of a flake8 replacement and a few other tools, but a partial overlap with Black. Real answer is at the FAQ Is Ruff compatible with Black? Yes. Ruff is compatible with Black out-of-the-box, as long as the line-length setting is consistent between the two. As a project, Ruff is designed to be used alongside Black and, as such, will defer implementing stylistic lint rules that are obviated by autoformatting.” Extras Brian: Registration open for SciPy 2023 Michael: Android Mobile App is out. Please give us feedback Joke: Releasing to prod