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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
Sin Stock
Sin Stock
Peso con empaque
0.20 kg
0.20 kg
Devolución
No
No
Condición
Nuevo
Nuevo
Producto de
Amazon
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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