SKU/Artículo: AMZ-B0FR29P96Q

Python Projects for Developers: With Advanced and Up-to-Date Coding Techniques: Step-by-Step Advanced Projects for AI, Data Science, Web Apps, and Career Growth

Disponibilidad:
Fuera de stock
Peso con empaque:
0.33 kg
Devolución:
No
Condición
Nuevo
Producto de:
Amazon

Sobre este producto
  • AI & Data Science Projects with Python – Semantic search, embeddings, transformers, and intelligent resume analyzers.
  • Python Web Apps Best Practices – Build scalable APIs with FastAPI, secure microservices, and asynchronous crawlers.
  • Real-World Python Microservices – Authentication with OAuth2 & JWTs, secrets management, and OWASP security patterns.
  • Full Stack Python + CI/CD – Create portfolio-ready applications with FastAPI backends, PostgreSQL, and automated deployments.
  • Python Performance & Concurrency Techniques – Profiling, asyncio vs multiprocessing, benchmarking, and optimization recipes.
  • Runnable, copy-paste-ready code tested with Python 3.11+.
  • pyproject.toml and Docker builds so you can run everything locally without headaches.
  • Tests, mocks, and synthetic datasets so the examples work offline.
  • Step-by-step explanations to ensure you understand not just what works, but why it works.
  • A roadmap for keeping your Python projects current, including dependency management, community signals, and monthly maintenance habits.
  • A full appendix of tooling cheatsheets (Poetry, Docker, GitHub Actions, Black, Ruff) with tested versions for maximum reliability.
  • Five bonus chapters inside covering debugging recipes, cookiecutter templates, licensing & datasets, and more.
  • Mid-level to senior developers looking for real-world Python projects
  • Engineers who want to improve their coding portfolio
  • Developers preparing for interviews and system design challenges
  • Anyone serious about modern Python, AI, and web development best practices

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