BookBot is one of the capstone Boot.dev projects!

Bookbot is a Python script that parses .txt files, counts the words, and hashes characters to their occurrences. At the end, it generates a report displaying the total number of words and the frequency of each character in the text. This project was built as a capstone for the backend development course on Boot.dev.

• 📖 Parses .txt files from a book repository
• 🔢 Counts the total number of words in a book
• 🔍 Calculates character occurrences in the text
• 📊 Generates a formatted report
• ⚡ Includes a Makefile to automate book downloads and cleanup

To set up the project locally:

git clone https://github.com/dancikmad/bookbot
cd bookbot

Ensure you have Python installed (Python 3.x recommended).

The project includes a Makefile that automates the process of fetching books from Project Gutenberg. Run the following command to download .txt files into the books/ directory:

make load

After downloading a .txt file, analyze a book by running:

python3 main.py books/frankenstein.txt

This will output:

• 📜 The total number of words in the book
• 🔢 A breakdown of character occurrences

Once finished, remove the downloaded .txt files by running:

make clean

75767 words found in the document
Character occurrences:
- 'a': 25421
- 'b': 4605
- 'c': 8814
- 'd': 16158
- ...

bookbot/
├── 📂 books/               # Directory for storing downloaded .txt files
├── 📜 main.py              # Bookbot script
├── ⚙️  Makefile             # Automation script for fetching and cleaning books
├── 📄 README.md            # Project documentation
└── 📊 stats.py             # Helper functions for counting words and characters

• 🐍 Python 3.x
• 🌐 wget (for downloading books via Makefile)

This project is for educational purposes and follows open-source guidelines.

Created as part of the Boot.dev Backend Development Course.

• The Makefile simplifies the process of setting up the book repository.
• The script can analyze any .txt book, not just Frankenstein.
• Future improvements may include support for additional text processing features.