Explore tweets tagged as #pytest
Hot take: Idk...but for me pytest or anything related to unit tests is a waste of time and an overkill
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Pytest for LLM Apps is finally here! DeepEval turns LLM evals into a two-line test suite to help you identify the best models, prompts, and architecture for AI workflows (including MCPs). Works with all frameworks like LlamaIndex, CrewAI, etc. 100% open-source with 11k stars!
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👨🔧 Github: deepeval, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. 10.3K Stars ⭐️ Provides end-to-end and component-level evaluation for RAG pipelines,
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Python is a passport to multiple fields Backend Dev → Django, FastAPI, Flask Automation / QA → Pytest, Selenium, Playwright DevOps & SRE → Scripting, Ansible, Fabric AI/ML → TensorFlow, PyTorch, scikit-learn Data Engineering → Pandas, PySpark, Airflow Data Science /
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When you're building websites and apps - especially if you're using AI tools - testing your code is important. And in this tutorial, @jude_olowo teaches you how to use a powerful Python testing tool called Pytest. You'll learn how to write and run tests, interpret the results,
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Wow, Sonnet 4.5 in claude code with that prompt is wonderful for making a python module (library). > add a docstring to every function, class and methods and add usage examples to each in a way that can be tested with pytest (check them as you go).
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Also, if you've ever wished that Python's unittest module included nicely colored output like pytest, it does now. Read more 👉 https://t.co/YRO1tuhWtT
#Python
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4 Python tools to learn ASAP, even as a beginner: uv — for virtual environments and package management pytest — for testing code ruff — for linting code git — time machine for code
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4 Python libraries that you haven't used before but are awesome: 1. Ruff: Formatter + Linter 2. uv: Environment management 3. Pytest: Testing 4. Click: CLI
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Pytest for LLM Apps 🔥 DeepEval from Confident AI is an LLM evaluation framework designed for testing LLM systems. It works like Pytest but is specifically made for unit testing LLM outputs. With DeepEval, you can easily find the best models, prompts, and architecture to
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Pytest combinatorial testing tip -> you can use `params` with fixtures 💡 I was repeating back-ends in multiple tests using `parametrize`, then I learned through reviewing somebody's code that the `pytest.fixture` decorator supports `params` leading to less repetitive code. 📈
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#Hiring 🚀 QA Automation Engineer (Python + Pytest) 🌍 100% Remoto | 💵 Pago en USD | #Latam +5 años QA Automation, Python/Pytest, APIs, Git (Inglés B2+). 👉 Enviá tu CV a Jennifer.n@selectium.net o por MD. #QA #Automation #Python #Pytest #Remoto #ITJobs #TechTalent
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Can pytest give third-party logs a timeout, or are they too chatty to sit still? ⏳📜 Source: https://t.co/9grVHUizO1
#Python #LogManagement #SoftwareTesting #TechTips #partyparty #partytime
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MLOps Project Update 6: - Added unit tests for model and API testing (Used Pytest). - Built a script to promote the best model to production. - Successfully ran CI pipeline with all checks passing. Next: Dockerization and deployment
MLOps Project Update 5: - Solved the model deserialization incompatibility error while model loading in FastAPI app - FastAPI app completed and running smoothly Next up : Building a streamlit frontend, adding unit tests and CI/CD integration
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Pytest — это самый популярный фреймворк для тестирования на Python. Pytest появился, чтобы сделать тестирование в Питоне простым и приятным. Перед вами гайд для тех, кто хочет тоже попробовать и погрузиться в мир автоматизированного тестирования: https://t.co/7dYZoFyx5o
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#LUD9 Today I learned how to test REST APIs using pytest. Built integration tests for Todo API with HTTP requests, status code checks, JSON validation, and full workflows (CREATE ,GET, UPDATE, DELETE) using dynamic uuid data. #LearningUtsav2025 #FestivalOfLearning @learning_utsav
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Pythonでのテスト、どのAIさんもunittestよりpytestをゴリ押ししてくる。unittest使ってって言ってもpytestをインストールしようとしてくる。なぜなのか…
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9 Python libraries that you haven't used before but are fantastic: 1. Pendulum: Date/time 2. Cryptography: self-explanatory 3. Black: Formatter 4. Poetry: Dependencies 5. Bokeh: Web plotting 6. Bowler: Refactoring 7. Pytest: Testing 8. Hydra: Configuration 9. Click: CLI
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