FastAPI Template — лучший темплейт со всем что надо для старта на FastAPI!
Одной из самых замечательных особенностей является то, что этот проект очень легко настраивается. Вы можете выбирать между различными базами данных и даже ORM, а можете даже сгенерировать проект без базы данных! В настоящее время поддерживаются SQLAlchemy 2.0, TortoiseORM, Piccolo и Ormar.
Фичи темплейта:
- Pydantic V2 (где это возможно, некоторые либы не поддерживают)
- Вы можете выбрать между GraphQL и REST API
- uvicorn и gunicorn
- Поддержкаразличных баз данных и ORM
- Опциональные миграции для каждогоORM (кроме сырых драйверов)
- Различные CI\CD
- Дополнительные демонстрационныероуты и модели (это поможет вам увидеть, как устроенпроект)
- Сгенерированные тесты с почти 90% покрытием
- Дополнительная поддержкаRedis, RabbitMQ, Kafka и taskiq
- Опциональная интеграция с Prometheus, Sentry и Opentelemetry
- Опциональный логгерLoguru
Ссылку оставляю тут.
#python#fastapi#template
#Python#FastAPI
🐍
Complete FastAPI masterclass from scratch
Learn everything about FastApi with Python, Full Stack, OAuth2, SQLAlchemy, RESTful APIs, and practice projects
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Coupons: @freecoupons_reposcience
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Python bilan yo‘lingizni boshlayapsizmi? Mana sizga kerakli maslahatlar!
Python — oddiy sintaksis, kuchli kutubxonalar va keng imkoniyatlarga ega dasturlash tili. Yangi boshlayotgan bo‘lsangiz, quyidagilarni yodda tuting:
1. Har kuni oz bo‘lsa ham kod yozing
Python’da kuchayishning eng yaxshi yo‘li — amaliyot. Har kuni 30 daqiqa mashq qilish ham yetarli.
2. input(), if, for, def— bu sizning do‘stlaringiz!
Dasturlash asoslari — sizga har qanday murakkab loyihaga eshik ochadi.
3. Real project boshlang!
Masalan: kalkulyator, To-do ilova, Telegram bot yoki oddiy CRUD tizimi. O‘rganishdan ko‘ra, real loyiha qilish 3x ko‘proq foyda beradi.
4. error ko‘rsangiz — xafa bo‘lmang😁
Python xatoliklarni aniqlashni o‘rgatadi. Har bir xatolik — yangi bilim! 🔥
5. Ustozlar va hamjamiyatdan foydalaning
👉Stack Overflow
👉 YouTube’dagi Python kurslar
👉Exercism, Codewars, LeetCode — Python masalalar uchun zo‘r saytlar!
💡Esda tuting:
"Birinchi 100 ta kodlaringiz ishlamasligi normal holat. Muhimi — siz har kuni urinyapsiz."
#python
💻@dasturlash_hayoti— dasturchilar hayoti va dasturlash olami haqida qiziqarli loyiha!
📰 Feature freeze for Python 3.15 as first beta released
JIT compiler much improved, but no reinstatement for leaky incremental garbage collector.
🔗 Source: https://www.theregister.com/devops/2026/05/11/feature-freeze-for-python-315-as-first-beta-released/5237934
#python
📰 New Python Backdoor Uses Tunneling Service to Steal Browser and Cloud Credentials
Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of sensitive information from compromised hosts."The intrusion chain begins with execution of a batch script ('install_obf.bat') that disables Windows security controls, dynamically extracts an.
🔗 Source: https://thehackernews.com/2026/04/new-python-backdoor-uses-tunneling.html
#python
📰 PyPI package with 1.1M monthly downloads hacked to push infostealer
An attacker pushed a malicious version of the popular elementary-data package Python Package Index (PyPI) to steal sensitive developer data and cryptocurrency wallets.
🔗 Source: https://www.bleepingcomputer.com/news/security/pypi-package-with-11m-monthly-downloads-hacked-to-push-infostealer/
#python
#python
DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding.
https://github.com/z-lab/dflash
#python
PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload.
https://github.com/NVIDIA/personaplex