#284 Spicy git for Engineers

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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 }}](${{ 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