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Python in Action 60 Mini Projects to Automate Everything (Part 2) [#1012824]
Python in Action: 60 Mini Projects to Automate Everything (Part 2): Practical CLI Tools, File Automation, and Data Cleaning with CSV, Excel, and JSON
by Leo Code
English | 2026 | ASIN: B0GJJQSR76 | 412 Pages | PDF | 127 MB
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) → CSVPagination scraper that consolidates resultsRate limiting with retries and backoffHTML table extraction and normalizationchange monitor (diff + alerts)Price/stock monitor (report mode)PDF downloader with clean filenamesPage 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 handlingToken authentication + simulated refreshUniversal pagination with generatorsRate limit handler that respects response headersLocal TTL caching to reduce callsOffline mode: fall back to cache when the API failsResponse validation with Pydantic + readable errorsBatch requests with controlled concurrencySync remote data to a local store using upsert logicA mini SDK package with docs, examples, and automated tests
Who this book is forPython learners who want real projects , not toy examplesDevelopers who can write scripts but want tools that don't breakAnyone 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.
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