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یاد بگیرید CI/CD چیست، چرا اهمیت دارد، چگونه GitHub Actions و Docker فرآیند استقرار را خودکار میکنند، و چطور میتوانید کد خود را بهصورت خودکار از محیط توسعه تا سرور VPS مستقر کنید.
Step-by-step guide to design, package, and publish a powerful command-line tool in Python using argparse or Typer. Learn CLI UX, packaging, testing, and automation.
Learn how to automate system tasks and scripts using Python with Linux cron jobs and systemd timers. Complete guide with examples, tips, and scheduling best practices.
Discover 10 modern, lesser-known Python techniques—from assignment expressions and structural pattern matching to contextlib power moves—that make your code cleaner, faster, and easier to reason about in 2025.
A practical comparison of asyncio, Trio, and AnyIO with patterns for concurrency, cancellation, timeouts, and graceful shutdowns in production Python.
From local app to hardened Ubuntu deployment: Docker image, Gunicorn/Uvicorn, Nginx reverse proxy with TLS, systemd units, environment secrets, blue-green updates, and rollback.
Learn the art and science of prompt engineering. Explore instruction hierarchy, context packing, token economy, and the philosophy of language-to-action design.
A clear, developer-focused breakdown of vector databases: FAISS, Chroma, Milvus. Learn how embeddings, ANN search, and memory indexes work behind modern AI applications.
A deep, hands-on guide to ethical port scanning: theory, TCP/UDP mechanics, Nmap usage, evasion, and safe lab setups. Learn reconnaissance the right way.
A field-tested Linux hardening checklist: SSH defense, firewalls, fail2ban, kernel/sysctl, TLS, users/keys, backups, and monitoring. Copy-paste commands included.
مقایسه سه بانک دادهی برداری محبوب: FAISS، Chroma و Milvus و بررسی ویژگیها و معماری آنها برای استفاده در هوش مصنوعی و یادگیری ماشین.
How to make Python fast: learn when to use Numba JIT, Cython compilation, or PyPy runtime. Includes code samples, benchmark results, and tuning strategies.
Production-grade observability for Python: structured logging, RED/USE metrics, and distributed tracing with OpenTelemetry, Prometheus, Tempo, and Grafana. Copy-ready patterns and pitfalls.