djangoproject
@djangoproject · Post #185 · 10/05/2016, 03:03 AM
http://www.aparat.com/v/WC7R4 Introduction to #pytest #unittest
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Source channel @githubtrending · Post #14821 · Jun 11
#typescript#editor#gfm#javascript#markdown#markdown_editor#milkdown#prosemirror#remarkjs#rich_text_editor#typescript#wysiwyg#wysiwyg_editor Milkdown is a flexible, open-source editor that lets you write and edit Markdown in a simple, visual way, just like you see it in apps such as Typora. It is built using powerful tools like ProseMirror and Remark, and everything in Milkdown works as a plugin, so you can add or remove features easily. You can customize its look and feel to match your app, and it supports real-time collaboration for team editing. This means you get a reliable, easy-to-use editor that fits your needs and grows with your projects, making writing and sharing documents smoother and more efficient[1][2][4]. https://github.com/Milkdown/milkdown
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MDC Uzbekistan
@mdcuzbekistan · Post #324 · 01/23/2022, 08:14 AM
Dasturni testlash jarayonlari, xUnit bilan amaliyot Bugungi stream ham nasib qilsa ajoyib o'tadi. Sababi, navbatdagi mehmonimiz siz tanigan, bilgan tajribali dasturchilar sirasiga kiradi. Eng qizig'i, suxbat davomida ko'tariladigan mavzu ko'pchilikni qiynashga ulgurgan. Ushbu qiyinchiliklarni ustozimiz bilan birga yengillashtiramiz. Xullas, streamda ko'rishguncha! 🔗 Havola: zoom 👨🏫 Mentor:Wahid Abduhakimov #unittest#mentoring#live#stream .NET Uzbekistan Community ______ Telegram | Instagram | Youtube
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djangoproject
@djangoproject · Post #179 · 09/30/2016, 07:46 AM
https://pypi.python.org/pypi/MutPy/0.4.0 #MutPy is a mutation #testing tool for Python 3.x source code. MutPy supports standard #unittest module, generates YAML reports and has colorful output. It’s apply mutation on AST level. You could boost your mutation testing process with high order mutations (HOM) and code coverage analysis.
djangoproject
@djangoproject · Post #583 · 03/17/2018, 05:46 AM
https://www.pluralsight.com/courses/unit-testing-python This course will help you to write good #unit_test for your Python code, using tools such as #unittest, #doctest and py.test. Unit tests should improve code quality, and also support future development. #test
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@djangoproject · Post #178 · 09/30/2016, 07:22 AM
#Hypothesis is a Python library for creating #unit_tests which are simpler to write and more powerful when run, finding edge cases in your code you wouldn’t have thought to look for. It is stable, powerful and easy to add to any existing #test suite. #unittest https://hypothesis.readthedocs.io/en/latest/