Weekly Reading Summary in Python

Table of Contents

1. Challenge

   Introduction

   Welcome to the lab! You will build a small Python command-line application that summarizes a week's reading activity from a list of page counts. info> This lab experience was developed by the Pluralsight team using an internally developed AI tool. All sections were verified by human experts for accuracy prior to publications. However, content may still contain errors or inaccuracies, and we recommend independent verification.
   
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2. Challenge

   Create the input data and first totals

   This step establishes the core data flow for the entire application. Before a report can be generated, the program needs an ordered list of page counts and a reliable way to aggregate those numbers.

3. Challenge

   Add built-in aggregation and supporting metrics

   Now that the project has a solid manual total, this step expands the summary with additional numeric helpers. You will add the built-in sum() approach, compute an average, and count how many days had any reading at all.

4. Challenge

   Turn calculations into a readable weekly report

   This step moves from isolated numbers into presentation-oriented structure. A strong report usually mixes summary metrics with contextual detail, so you will identify the best reading day, generate one line per day, and assemble the full multi-line report text.

5. Challenge

   Integrate the final checks and run the CLI

   The last step focuses on integration. You already have the core calculations and the finished report builder, so now the goal is to connect those pieces into a polished command-line program. Once you've finished the tasks, it's time to see everything come together!

   In the Terminal, run the application with the following command:

   python3 -m app.main
   

   The program will generate a weekly reading report and display a quick totals check at the end.

   Example output:

   Weekly Reading Report
   =====================
   Days logged: 7
   Reading days: 6
   Total pages (loop): 122
   Total pages (sum): 122
   Average pages: 17.4
   Best day: Thursday (30 pages)
   Daily entries:
   - Monday: 18 pages
   - Tuesday: 0 pages
   - Wednesday: 24 pages
   - Thursday: 30 pages
   - Friday: 12 pages
   - Saturday: 16 pages
   - Sunday: 22 pages
   
   Check complete: both totals match.