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Canal fuente @python_academy · Post #2463 · hace 21 días

Тестирование на pytest pytest — ближе по духу к языку Python нежели unittest, которая накладывает определенные обязательства при разработке тестов. Например, создание классов-наследников от TestCase или выполнение определенной процедуры запуска тестов. Но при разработке на pytest ничего этого делать не нужно. Вы просто пишете функции, которые должны начинаться с "test_" и используете assert, встроенные в Python. Также он поддерживает запуск тестов на unittest и nose, то есть полная обратная совместимость с ними. #python#pytest#assert

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djangoproject

@djangoproject · Post #443 · 17/09/2017, 00:38

http://www.bogotobogo.com/python/python_unit_testing.php #python#unit_test In this chapter, we're going to write and debug a set of functions to convert to and from Hexa numbers. We can start mapping out what a hexa.py module should do. It will have two main functions, toHexa() and fromHexa(). The toHexa() function should take an integer from 1 to 65536 and return the hexa numeral representation as a string.

AIGC

@aigcrubbish · Post #13 · 15/11/2024, 06:14

PyPI 现在支持数字证明,增强了项目供应链的安全性。维护者可以在发布包时附上签名的数字证明,并通过新的 API 供用户和安装程序验证这证明。与传统的 PGP 签名相比,数字证明有三大优势:它们由身份而非密钥对签名,提供与上游源仓库的可验证链接,并且在上传时必须可验。已有超过 20,000 个证明被发布。PyPI 还提供了新的 Integrity API 和网页界面,方便用户查看文件的证明。 https://blog.pypi.org/posts/2024-11-14-pypi-now-supports-digital-attestations/ #Python#Security#PyPI #AIGC

Repositorio data science

@repo_science · Post #3374 · 30/06/2023, 14:57

#python#databases 🐍 Advanced Python: Working with multiple databases Description Build and connect Python Application to multiple databases 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3265 · 04/06/2023, 22:32

#python#databases 🐍 Advanced Python: Practical Database Examples Level up as a Python developer working with databases in this advanced, skills-based course. 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Fang的资源分享群

@FLMdongtianfudi · Post #14560 · 27/09/2025, 13:28

📚 名称:Python从入门到精通教程全攻略【84GB】 ⭐️ 亮点:全面覆盖Python编程知识,从基础到高级,适合各个阶段的学习者,包含丰富的实例与项目。 🏷 标签:#Python#编程教程#入门到精通#学习资源 👉 链接:https://pan.quark.cn/s/93942fb408bf 🔔Twitter👥频道💬群组

QQ资源岛-破解软件分享

@QQZYDAPP · Post #5029 · 19/01/2026, 15:32

⭐️【资源名称】:python超简单智能编译工具 V9.2 32 🤖【适用平台】: #Windows 🧱【资源介绍】 python超超简单智能编译脚本打包 超超智能,简单,会点鼠标就可以的。 直接拉,直接点。就可以。 图标也直接拉图片会直接转换成图标,不需要专门找转换功能了。 🟢绿色版 🟡在线下载:点击下载(无需密码) 📁#电脑软件#python#智能#编译#工具

djangoproject

@djangoproject · Post #556 · 23/01/2018, 16:40

https://pypi.python.org/pypi/pytest-selenium/ pytest_selenium is a plugin for #pytest that provides support for running #Selenium based #tests .

GitHub Trends

@githubtrending · Post #15587 · 26/03/2026, 12:30

#python#ai#ocr Chandra OCR 2 is a top OCR model that turns images and PDFs into structured Markdown, HTML, or JSON, keeping layout, tables, math, handwriting, and 90+ languages accurate—it leads benchmarks like olmOCR (85.9% overall) and multilingual tests (77.8% average). Install easily with `pip install chandra-ocr` for CLI use, local HuggingFace, or fast vLLM server; try the free playground first. You benefit by quickly digitizing complex docs with high precision, saving time on extraction and enabling easy editing or analysis without manual fixes. https://github.com/datalab-to/chandra

The Devs

@thedevs · Post #1265 · 27/10/2018, 15:39

Top 10 must-watch PyCon talks. #list#video#python @thedevs https://kutt.it/2R8abp

The Devs

@thedevs · Post #1088 · 18/04/2018, 11:24

The best of Python: a collection of my favorite articles from 2017 and 2018 (so far). #article#tutorial#python#list @thedevs https://kutt.it/t9vIGV

飞鱼资源分享|冲浪指南|软件工具

@feiyu123 · Post #2064 · 01/01/2026, 12:55

▎SmartPacker V9.2 python超超简单智能编译工具 , 将你的py程序编辑成exe软件,图标直接设置图片即可。 如果用ai编程的话,让ai给你写个打包的也可以勉强用,不过问题还是有,需要调试。这个就挺好了。 #工具#python#打包#编译 地址:点我下载

🦅 [ perspective ix ]

@perspectiveix · Post #1869 · 10/07/2019, 11:04

👩‍💻StackOverflow's 2019 Developer Survey Results👨‍💻 This year, nearly 90,000 developers took the survey. Here are some key results: - For the 7th year in a row, #JavaScript is the most commonly used programming language, but #Python has risen in the ranks again. - Over half of respondents had written their first line of code by the time they were 16, although this experience varies by country & by gender. - Respondents were asked to think about the last time they solved coding problems with & without #StackOverflow. The data indicate that Stack Overflow saves a developer 30 to 90 minutes of time per week! - About 65% of professional developers on Stack Overflow contribute to #OpenSource projects once a year or more. - #Reddit & #YouTube were the most common answers to what social media site they use the most. (No #Telegram in the list! Wtf, StackOverflow!?) 🔗 Read more here. 🚀@PerspectiveIX

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