Название: Building Personal Productivity Tools Using Python and ChatGPT: Your Road from Novice to Skilled Professional Автор: Stas Kolod Издательство: Independently published Год: 2026 Страниц: 178 Язык: английский Формат: pdf, epub, azw3, mobi Размер: 10.1 MB
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Introduction Project setup: Python environment, dependencies, and folder layout Configuration management with .env and config files Data Modeling with Dataclasses and Type Hints File I/O Workflows: Reading, Writing, and Organizing Documents Parsing and Generating CSV and JSON for Interoperability Working with Dates and Time Zones for Scheduling Local data storage with SQLite for personal tools HTTP fundamentals with requests: timeouts, headers, and pagination API authentication patterns for personal integrations (non-sensitive handling) Rate limiting and backoff strategies for API-based automations Asynchronous Programming with asyncio for Concurrent I/O Command-line interfaces with argparse for productivity scripts Logging and Diagnostics for Automation Tools Error Handling Patterns and Resilient Retries ChatGPT Integration Basics: Prompt Construction and Response Parsing Designing prompts for deterministic, structured outputs Output validation: schema checks and safe fallbacks Conversation state: storing context and summarizing history Text summarization workflows for meeting notes and articles Task Extraction from Free-Form Text into Structured To-Dos Personal knowledge base: tagging, search, and retrieval Email drafting assistant: templates, tone controls, and review steps Calendar planning assistant: turning goals into weekly plans Habit Tracking Tool: Data Capture, Streak Logic, and Reports Daily review automation: journaling prompts and reflection summaries Document Cleanup: Formatting, Deduplication, and Naming Conventions Building a desktop-friendly TUI with rich text output Lightweight Web App with Flask for a Personal Dashboard Background jobs and scheduling with cron or task schedulers Testing automation tools: unit tests and golden-file tests Observability for personal automations: metrics and run history Performance tuning: profiling, caching, and batching requests Security basics for personal tools: least privilege and secret hygiene Privacy and Data Handling: Redaction and Local-First Design Choices Packaging and distribution: pip-installable CLI tools Conclusion
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Название: Building Personal Productivity Tools Using Python and ChatGPT: Your Road from Novice to Skilled Professional