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Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
In this intermediate project, we apply modern HTTP networking and local state persistence—HTTP Requests with requests, JSON Parsing, Exception Handling, and File Serialization with json—to construct a feature-complete Command-Line Dictionary & Vocabulary Builder.
The application integrates with the open, public Free Dictionary API (https://api.dictionaryapi.dev/api/v2/entries/en/<word>).
vocabulary.json): Automatically caches looked-up words locally so users can review vocabulary even when offline.404 Not Found (unknown words), connection errors, and malformed JSON payloads gracefully.How data and code flow step-by-step
Free dictionary APIs often return None or empty lists for audio clips and phonetics on rare words. Use .get() with safe fallbacks.
Always provide user feedback (e.g. "Fetching definition...") and enforce a 5-second timeout on API calls to prevent the CLI from freezing.
Implement a local caching dictionary in the Dictionary App so that repeatedly searched words are displayed instantly from local memory without making unnecessary network API calls.
json module saves the vocabulary dictionary to disk?lookup_word() clean the input using .strip().lower()?In the next lesson, we will continue your intermediate Python journey with Project 3: CLI-based To-do App (14: Intermediate Projects).
Continue learning with hands-on practice, examples, and exercises in the upcoming topic.
| Previous Lesson | Next Lesson |
|---|---|
| Project 1: Expense Tracker with CSV | Project 3: CLI-based To-do App |
Test your understanding of this lesson with 5 questions. Each question has one correct answer.