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
http://pybee.org/
#BeeWare is a collection of #projects that can be used to help develop, debug and launch #Python software. Each tool follows the #Unix philosophy of doing one thing well. Each tool can be used in isolation, or they can be chained together to provide a rich set of programming tools.
https://github.com/damonkohler/sl4a
#Scripting Layer for Android (SL4A)
#SL4A brings scripting languages to #Android by allowing you to edit and execute scripts and interactive interpreters directly on the Android device. These scripts have access to many of the APIs available to full-fledged Android applications, but with a greatly simplified interface that makes it easy to get things done.
Scripts can be run interactively in a terminal and in the background. #Python, Perl, JRuby, Lua, BeanShell, JavaScript, Tcl, and shell are currently supported, and we're planning to add more. See the SL4A Video Help playlist on YouTube for various demonstrations of SL4A's features.
#python#large_language_models#machine_learning_systems#natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
#python#R#aporte#statistics
🧮
Curso avanzado de estadística no parametrica con R y Python
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#Job#Vacancy#AI#ML#SoftwareEngineering#Remote#CAD#LLM#RAG#Python
Middle / Senior AI Engineer (AI/ML & Software Development)
📍 Remote (вне РФ, РБ) | Full-time, long-term
💵Salary range: middle 50k-55k Евро брутто, senior обсуждаемо
💼 Компания: BIT (Bergmann Infotech GmbH)
📩 Контакты: @olgaheinzel
Полное описание вакансии уточните в лс
О нас: Мы автоматизируем строительные процессы (ConTech) и механоинжиниринг с помощью AI. Уже 7+ лет наши SCRUM-команды создают решения для лидеров Западной Европы. Сейчас строим SaaS нового поколения для CAD-индустрии с использованием LLMs, RAG и агентных workflow.
Что делать:
📍Разработка десктопных AI-приложений (Python, PyQt/PySide).
📍Интеграция LLM, RAG и агентов в пользовательские workflow.
📍Создание AI пайплайнов: сбор/подготовка данных, embeddings, fine-tuning, деплой.
📍Совместная работа с продуктовой и dev-командой.
Требования:
📍4+ лет опыта в software dev + AI/ML.
📍Python, архитектурные паттерны (SOLID, Clean architecture), ORM (SQLAlchemy+Alembic), базы данных.
📍Опыт с LLMs, RAG, агентами, IR-метриками.
📍Отличные софт-скиллы.
Плюсом будет: опыт с CAD, CI/CD, vector DB (Qdrant, FAISS), Azure.
Что предлагаем:
• Remote
• Agile-команда, рост вместе с компанией.
• Ownership, гибкий график, обучение.
Процесс найма: HR → тестовое/тех. интервью → CEO/Product Owner → оффер.
#Python#Django#PostgreSQL
🐍
Building Web Applications with Django and PostgreSQL
This course is designed to provide you with a comprehensive understanding of how to develop web applications using the Django web framework in combination with the PostgreSQL database. Django is a popular web framework written in Python that allows developers to build robust and scalable web applications quickly and efficiently, while PostgreSQL is a powerful open-source relational database management system known for its reliability and performance.
📅 4/2023
🔗Link
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#Python#Excel#beginners
💻
Python in Excel
🗣 Scott Simpson
⏰30m
Get a high-level overview of the Python in Excel features launched in the public beta preview.
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#python#digital_signage#iot#python#raspberry_pi
Anthias is a free, open-source digital signage software that turns a Raspberry Pi or PC into a device to display images, videos, and web pages in full HD. It offers an easy web interface to upload, schedule, and manage content remotely on each screen. It supports Raspberry Pi models up to the latest Pi 5 and some PCs, making it affordable and flexible for small businesses or personal use. The benefit is that you can create and control digital signs without expensive hardware or software, though it requires some technical skill and managing screens individually.
https://github.com/Screenly/Anthias
#python#n8n#n8n_workflow#workflows
n8n offers ready-made templates for creating AI agents that automate content creation and business tasks. These templates cover everything from generating social media posts and videos to researching topics and managing leads—all without requiring coding skills. By using these pre-built workflows, you can quickly launch automation projects for marketing, content production, and lead generation, saving time and reducing manual work while scaling your business operations efficiently.
https://github.com/gyoridavid/ai_agents_az
#Python#IA
🐍
#PandasAI es una biblioteca de #Python que agrega capacidades de inteligencia artificial generativa a Pandas, la popular herramienta de análisis y manipulación de datos. Está diseñado para usarse junto con Pandas y no es un reemplazo para este.
🔗 Github
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