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Nina Zakharenko 💜🐍 Profile picture
@nnja
Apr 30, 2022 • 9 tweets • 4 min read • Read on X
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Closing out the day at #PyConUS2022 is @anthonypjshaw talking about improving the performance of your Python code.
The code demonstrating the gains mentioned in the talk is hosted at: GitHub.com/tonybaloney/an…
List comprehensions. Not just just more readable but also faster!
Consider, are you using the right data structure for the job?
Bold move: using the Comic Sans Mono font for code slides.
Performance of various data structures in different versions of Python is surprising. Watch the talk to learn more about why.
Be DRY, but small utility functions can have a surprising amount of overhead.

In this case, b() is 56% faster.
Don’t blindly apply these principals. Profile first. Avoid performance regressions.
Thanks for a great talk Anthony!

And for the folks following the thread don’t forget to check out the perf lint tool that Anthony’s created.

github.com/tonybaloney/pe…

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More from @nnja

Nina Zakharenko 💜🐍 Profile picture
Apr 30, 2022
Now on at #PyconUS2022 is ⁦@di_codes⁩ talking about Securing the Open Source Supply Chain.
ABC’s of software supply chain
Artifact: ie a file on PyPi
Attestation: evidence or proof that something happened
Advisory: public disclosure, CVEs
Build: build process produces artifacts
Certificate: easier now, with LetsEncrypt
Digest: hash digest, not reversible
Ephemeral: used once and thrown away (in context of cryptographic keys and signing)
F: Fuzzing (vary inputs)
G: Google
Hardware keys: best path for 2FA
Identity: unique and verifiable
Joe Biden: Executive Order
Key: verify signature by keyholder
Lockfile: pipfile.lock
Read 11 tweets
Nina Zakharenko 💜🐍 Profile picture
Apr 29, 2022
On now at #PyCon #PyConUS2022: Brandt Bucher on Python’s Structural Pattern Matching. He works at Microsoft working on improving Python performance with @gvanrossum. Image
Check out the tutorial: peps.python.org/pep-0636.html
Working in a standalone repo was helpful over the course of the project, and preserved a history of decision making. github.com/gvanrossum/pat…
Read 4 tweets
Nina Zakharenko 💜🐍 Profile picture
Sep 24, 2019
Next up at #DjangoCon is a keynote I'm very excited about.

Here's @jesslynnrose from Mozilla talking about burnout.
Why are we talking about burnout? (Especially after talking about contributing to open source?)

Because if you're burned out you can't do your best work.
Your brain is a wet bag of meat soaked in chemicals (😂)

Your working memory and cognitive load changes day by day.

Your processes - your multi threaded thinking - takes up a lot of your cognitive load already.
Read 17 tweets
Nina Zakharenko 💜🐍 Profile picture
Jan 21, 2019
Advice for getting started speaking at conferences:

Don’t be afraid to throw your hat into the ring. “I have nothing new to say, it’s all been covered” is a myth that I hear beginners perpetuate as a way to talk themselves out of speaking. It's not true.

blog.pythonlibrary.org/2019/01/21/pyd…
What an audience is genuinely interested in is your unique perspective, your story, and the way you tell it. Storytelling is as much a part of a great talk as technical knowledge.
@brandon_rhodes is one of the best storytellers in our community, and his talks are a great resource for becoming familiar with the technique.

You can watch them here: youtube.com/results?search…
Read 5 tweets

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