Joined November 2011
- Tweets 3,129
- Following 444
- Followers 942
- Likes 184
24 Photos and videos
12 Oct 2021
12 Oct 2021
As 16h40 minha palestra na Python Brasil - neste link!
youtube.com/watch?v=6_zE8tUj…
(Agora está começando outra palestra na mesma trilha)
2 Oct 2021
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Python People retweeted
1 Oct 2021
Hi 👋, if you are intrigued with:
🐍 Writing impactful Python code
🎨 API Design
🧐 Open Source life
Follow me for regular updates on Textual (5.1K ⭐️), the next generation TUI framework. And Rich (29.6K ⭐️)
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Python People retweeted
26 Sep 2021
Day 33 of 100.
Working with files (the cool way).
github.com/ikkebr/100DaysOfP…
#100daysofcode #100daysofprogramming #100daysofpython #python #100DaysOfHacking
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25 Sep 2021
#python #lin mainly pt_br 🇧🇷
projeto de código aberto da Open Knowledge Brasil que tem como objetivo libertar e centralizar as informações publicadas nos diários oficiais dos municípios, hoje presas em PDFs obscuros de acesso complicado
github.com/rennerocha/querid…
Python People retweeted
21 Sep 2021
I ❤️ Python's new user-friendly error messages!!!
In Python 3.10rc2:
"""
NameError: name 'results_count' is not defined. Did you mean: 'result_count'?
"""
Thank you so much @pyblogsal and everyone else who is contributing to make #Python more and more friendly!
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Python People retweeted
12 Sep 2021
Updated! ✅ #python #networkdays lib
github.com/cadu-leite/networ…
DocTest: ✅
GitHub dependency bot: busted✅.
ok, there was depends for tests . .
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12 Sep 2021
the python people Thanks you ! ;)
18 Dec 2020
My "Year in Review" blog post is live now. I did some fun things and reached some important milestones: PyCascades, Stanford Code in Place, Pinax release, Wharton School Simpl game simulation project, to name a few. Read more, if you are so inclined. 😀 🎉 github.com/KatherineMichel/p…
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Python People retweeted
10 Sep 2021
Tag the Python devs and #Pythonistas whose had a tremendous impact in your career and life as a developer.
#gratitude #appreciative
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25 Aug 2021
pulpproject.org/
Pulp 3 builds on the achievements of Pulp 2, with a renewed focus on repository management. Pulp 3 is more than an update of Pulp 2.
#python
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Python People retweeted
23 Aug 2021
Doing some really cool PyPy JIT work with @isidentical right now. Trying to fix one of the really long-standing performance cliffs, where megamorphic call sites produce a linear search across the called methods, plan is to compile one general version if we see too many callees.
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Python People retweeted
23 Aug 2021
This is a great thread. One thing I would add is making sure that the "get started with Python" onboarding flow on every platform is as silky smooth as possible, as a core language feature, not something they requires third party tooling
23 Aug 2021
I love Python to death, but goodness if I had a magic wand that could make sweeping changes to it, I would. A lot of Python's behavior and quirks are due to it being 30 years old. A whole lot of things have changed since.
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22 Aug 2021
#python Framework ... actually, something else.
A FLASK based framework to your next API service, with some batteries include
github.com/zalando/connexion
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30 Jul 2021
Calc workdays based on holidays easy and clean. github.com/cadu-leite/networ…
Docs needs better sample ;) - Help Wanted!
Python People retweeted
30 Jul 2021
I just did this recently and I used datamodel-code-generator because I wanted to end up with pydantic models. github.com/koxudaxi/datamode…
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Python People retweeted
30 Jul 2021
We are so grateful for @Google and their long-term support as a Visionary sponsor. Your generosity allows the PSF to support our wonderful and diverse Python community by hosting PyCon US, providing grants globally, and offering PyCon scholarships.💛 💙
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Python People retweeted
29 Jul 2021
Oi galera o formulário da comunidade #numpy também tá disponível em português!! Não perde a oportunidade de contribuir com essa pesquisa que tá recebendo repostas por mais alguns dias!!! @numpy_team
28 Jul 2021
There's a few days left to participate! If you are a Numpy user, we'd love to hear about your experiences and ideas to make NumPy better!
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