Python in Action: 60 Mini Projects to Automate Everything (Part 2): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON - Softcover

Inhaltsangabe

Python in Action: 60 Mini Projects to Automate Everything — Part 2 is where Python goes online.
If Part 1 helped you build solid foundations—project structure, clean CLIs, logging, validation, and real-world data handling—Part 2 (Mini Projects 21–40) teaches you how to work with the outside world: websites that change, services that rate-limit you, flaky connections, inconsistent responses, and data you can’t trust until you validate it.
This volume is built for doing, not skimming. Each mini project ends with a practical tool you can reuse: scrapers that export clean datasets, monitors that detect changes, downloaders that save files with sane names, and API clients that behave like professional software.
What you’ll build in Part 2
Block 3 — Responsible Web Scraping & Web Automation (21–30)

• Headline scraper (title/date/link) → CSV
• Pagination scraper that consolidates results
• Rate limiting with retries and backoff
• HTML table extraction and normalization
• Change monitor (diff + alerts)
• Price/stock monitor (report mode)
• PDF downloader with clean filenames
• Page archiver (HTML + metadata + hash)
• Feed builder (scraping → RSS/JSON)
• A “polite” scraper: cache, user-agent, basic robots awareness, retries, and logs

Block 4 — APIs: Consume Services Like a Pro (31–40)

• Simple GET/POST client with consistent error handling
• Token authentication + simulated refresh
• Universal pagination with generators
• Rate limit handler that respects response headers
• Local TTL caching to reduce calls
• Offline mode: fall back to cache when the API fails
• Response validation with Pydantic + readable errors
• Batch requests with controlled concurrency
• Sync remote data to a local store using upsert logic
• A mini SDK package with docs, examples, and automated tests

Who this book is for

• Python learners who want real projects, not toy examples
• Developers who can write scripts but want tools that don’t break
• Anyone who wants a practical roadmap to web automation and API engineering

If you want Python to do more than run locally—if you want it to collect, verify, store, and deliver information reliably—Part 2 is your next step.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.