@hezuclub · Post #962 · 22/06/2025, 02:32
咕泡学院Python基础+高级课程:轻松解锁编程新境界 🧲https://www.hezuclub.com/7274.html #python
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Canal fuente @python_academy · Post #1499 · 25 oct
Plotly: Интерактивные визуализации данных в Python Plotly - это мощная библиотека для создания интерактивных визуализаций данных в языке программирования Python. Она предоставляет простой и гибкий способ визуализировать данные, делая их более наглядными и интересными. Вот некоторые ключевые моменты о библиотеке Plotly: Что такоеPlotly? Plotly - это библиотека для создания высококачественных интерактивных графиков и визуализаций. Она поддерживает множество видов графиков, включая линейные, столбчатые, круговые, тепловые карты, графики рассеяния и многое другое. Plotly также предоставляет возможность встраивать визуализации в веб-приложения и документы. ПреимуществаPlotly: - Интерактивность: Одним из главных преимуществ Plotly является возможность создания интерактивных графиков. Пользователи могут масштабировать, навигировать и взаимодействовать с данными, что делает визуализации более информативными. - Поддержка множества языков:Plotly доступен не только для Python, но и для других языков программирования, включая R, JavaScript и Julia. - Простота использования:Plotly обладает понятным и интуитивным синтаксисом, что делает его доступным для широкой аудитории. Пример создания интерактивного графика линейного ряда с использованием Plotly в Python на фото. #Python#DataVisualization#Plotly
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@hezuclub · Post #962 · 22/06/2025, 02:32
咕泡学院Python基础+高级课程:轻松解锁编程新境界 🧲https://www.hezuclub.com/7274.html #python
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@hezuclub · Post #852 · 27/05/2025, 10:16
80个通俗易懂的Python爬虫练手项目 🧲https://www.hezuclub.com/6783.html #Python
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Version 3.10 of the legendary programming language is now here: https://www.python.org/downloads/release/python-3100 No rush to update, though. #Python
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@cursosgratismega · Post #689 · 21/03/2022, 19:28
PYTHON en menos de una semana - Con ejercicios de práctica | #Python
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@amneumarkt · Post #667 · 24/03/2025, 18:54
#python Our internet is broken again, and this time by Python setuptools. [BUG] Version 78.0.1 breaks install of ansible-vault package · Issue #4910 · pypa/setuptools https://github.com/pypa/setuptools/issues/4910
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@KbsEcho · Post #645 · 10/11/2025, 11:06
Python 基金会在放弃美政府的 150 万美元拨款后收到了大量捐款 2025-11-10 16:38 by 另一个艾米 上月底,Python 软件基金会(PSF)宣布坚守 DEI(多元化、平等及包容)价值观以及考虑到无法预测的财务风险,放弃了美国政府的 150 万美元拨款。此事备受关注而被广泛报道,当天基金会就收到了大约 300 笔捐款,第二天还有 Reddit 用户抱怨尝试捐款时遭遇超时。上周五,基金会执行董事 Deb Nicholson 披露他们至今收到了逾 15.7 万美元捐款,包括 295 名每年捐款 99 美元的新支持会员。虽然这些捐款尚不足以填补 150 万美元的缺口,但基金会表示意义重大,他们感受到了来自社区的强有力支持。 https://thenewstack.io/psf-gets-a-donor-surge-after-rejecting-anti-dei-federal-grant/ #Python
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#Python is the main language of data science, per this analysis on 10M Jupyter Notebooks: https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/
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@xuexi365t · Post #570 · 29/11/2024, 07:53
#Python 2024版青灯教育 Python全套高薪就业班 ,包括Python全栈开发,爬虫,自动化办公,数据分析,AI人工智能等等~ https://qingdengedu.com/ 会员免费看 支持换课 招收代理 课程咨询客服https://t.me/e9999dd
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@amneumarkt · Post #562 · 21/03/2024, 19:34
#python I had the wrong idea for a long time that IDEs treat method/function without return type hint as returning None type. I was wrong. In PEP484, it says IDE should treat such a method/function as a type that is as general as possible. Ah that just makes sense. https://peps.python.org/pep-0484/#the-meaning-of-annotations
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@amneumarkt · Post #406 · 15/09/2022, 15:16
#python Faster conda https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community
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@amneumarkt · Post #381 · 21/07/2022, 21:04
#python Guidelines for research coding. It is not the highest standard but is easy to follow. https://goodresearch.dev/
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@amneumarkt · Post #356 · 14/05/2022, 11:46
#python This post is a retro on how I learned Python. Disclaimer: I can not claim that I am a master of Python. This post is a retrospective of how I learned Python in different stages. I started using Python back in 2012. Before this, I was mostly a Matlab/C user. Python is easy to get started, yet it is hard to master. People coming from other languages can easily make it work but will write some "disgusting" python code. And this is because Python people talk about "pythonic" all the time. Instead of being an actual style guide, it is rather a philosophy of styles. When we get started, we are most likely not interested in [PEP8](https://peps.python.org/pep-0008/) and [PEP257](https://peps.python.org/pep-0257/). Instead, we focus on making things work. After some lectures from the university (or whatever sources), we started to get some sense of styles. Following these lectures, people will probably write code and use Python in some projects. Then we began to realize that Python is strange, sometimes even doesn't make sense. Then we started leaning about the philosophy behind it. At some point, we will get some peer reviews and probably fight against each other on some philosophies we accumulated throughout the years. The attached drawing (in comments) somehow captures this path that I went through. It is not a monotonic path of any sort. This path is most likely to be permutation invariant and cyclic. But the bottom line is that mastering Python requires a lot of struggle, fights, and relearning. And one of the most effective methods is peer review, just as in any other learning task in our life. Peer review makes us think, and it is very important to find some good reviewers. Don't just stay in a silo and admire our own code. To me, the whole journey helped me building one of the most important philosophies of my life: embrace open source and collaborate.
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