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Clone this repository\n2. Create a `books` directory and download text files you want to analyze (Project Gutenberg is a great source for free e-books)\n3. Run the application by providing a path to a text file:\npython main.py path_to_book.txt\n\nFor example:\n```bash\npython3 main.py books/frankenstein.txt\n```\n\n## Sample Output\n```\n========== BOOKBOT ==========\nAnalyzing book found at [book_file]\n---------- Word Count ----------\nFound [num_words] total words\n---------- Character Count ----------\n[char]: [count]\n...\n========== END ==========\n```\n\n## Project Structure\n\n- `main.py`: Entry point of the application\n- `stats.py`: Contains functions for text analysis\n- `books/`: Directory for text files (not included in repository to keep it clean)\n\n## Technologies Used\n\n- Python\n- Git \u0026 GitHub\n- VS Code\n\n## Learning Outcomes\n\nThrough building this project, I:\n- Set up a local Python development environment\n- Practiced building a complete project from scratch\n- Implemented file I/O operations in Python\n- Created text processing and analysis functions\n- Used Git for version control and GitHub for project hosting\n\n## Acknowledgements\n\nThis project was built as part of the [Boot.dev](https://boot.dev) curriculum.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodewithjazmine%2Fbookbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodewithjazmine%2Fbookbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodewithjazmine%2Fbookbot/lists"}