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Brian #1:distinctipy

  • “distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.”
  • Small, focused tool, but really cool.
  • Say you need to plot a dynamic number of lines.
  • Why not let distinctipy pick colors for you that will be distinct?
  • Also can display the color swatches.
  • Some example palettes here: https://github.com/alan-turing-institute/distinctipy/tree/main/examples

``` from distinctipy import distinctipy

number of colours to generate

N = 36

generate N visually distinct colours

colors = distinctipy.get_colors(N)

display the colours

distinctipy.color_swatch(colors)

```

Michael #2: Soda SQL

  • Soda SQL is a free, open-source command-line tool.
  • It utilizes user-defined input to prepare SQL queries that run tests on dataset in a data source to find invalid, missing, or unexpected data.
  • Looks good for data pipelines and other CI/CD work!

Daniel #3: Python in Nature

  • There’s a review article from Sept 2020 on array programming with NumPy in the research journal Nature.
  • For reference, in grad school we had a fancy paper on quantum entanglement that got rejected from Nature Communications, a sub-journal to Nature. Nature is hard to get into.
  • List of authors includes Travis Oliphant who started NumPy. Covers NumPy as the foundation, building up to specialized libraries like QuTiP for quantum computing.
  • If you search “Python” on their site, many papers come up. Interesting to see their take on publishing software work.

Brian #4: Supercharging GitHub Actions with Job Summaries

  • From a tweet by Simon Willison

    • and an article: GH Actions job summaries
    • Also, Ned Batchelder is using it for Coverage reports
    • “You can now output and group custom Markdown content on the Actions run summary page.”

    • “Custom Markdown content can be used for a variety of creative purposes, such as:

    • Aggregating and displaying test results

    • Generating reports
    • Custom output independent of logs”
    • Coverage.py example:

``` - name: "Create summary" run: | echo '### Total coverage: ${{ env.total }}%' >> $GITHUB_STEP_SUMMARY echo '${{ env.url }}' >> $GITHUB_STEP_SUMMARY

```

Michael #5:Language Summit is write up out

  • via Itamar, by Alex Waygood
    • Python without the GIL: A talk by Sam Gross
    • Reaching a per-interpreter GIL: A talk by Eric Snow
    • The "Faster CPython" project: 3.12 and beyond: A talk by Mark Shannon
    • WebAssembly: Python in the browser and beyond: A talk by Christian Heimes
    • F-strings in the grammar: A talk by Pablo Galindo Salgado
    • Cinder Async Optimisations: A talk by Itamar Ostricher
    • The issue and PR backlog: A talk by Irit Katriel
    • The path forward for immortal objects: A talk by Eddie Elizondo and Eric Snow
    • Lightning talks, featuring short presentations by Carl Meyer, Thomas Wouters, Kevin Modzelewski, Samuel Colvin and Larry Hastings

Daniel #6:AllSpice is Git for EEs

  • Software engineers have Git/SVN/Mercurial/etc
  • None of the other engineering disciplines (mechanical, electrical, optical, etc), have it nearly as good. Altium has their Vault and “365,” but there’s nothing with a Git-like UX.
  • Supports version history, diffs, all the things you expect. Even self-hosting and a Gov Cloud version.
  • “Bring your workflow to the 21st century, finally.”

Extras

Brian:

  • Will McGugan talks about Rich, Textual, and Textualize on Test & Code 188
  • Also 3 other episodes since last week. (I have a backlog I’m working through.)

Michael:

  • Power On-Xbox Documentary | Full Movie
  • The 4 Reasons To Branch with Git - Illustrated Examples with Python
  • A Python spotting - via Jason Pecor
  • 2022 StackOverflow Developer Survey is live, via Brian
  • TextSniper macOS App
  • PandasTutor on webassembly

Daniel:

  • I know Adafruit’s a household name, shout-out to Sparkfun, Seeed Studio, OpenMV, and other companies in the field.

Joke:

A little awkward

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