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

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Code, Leo

 
9798246278888: Python in Action: 60 Mini Projects to Automate Everything (Part 2): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.