{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lab\n", "\n", "- Use this assignment to practice the chapter's concepts and coding skills in runnable Python code.\n", "- Sign in from the account menu before you start working on the assignment.\n", "- Write and run your code directly in the coding cells.\n", "- Multiple submissions are allowed. The highest score is kept.\n", "\n", "
\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "thebe-interactive" ] }, "outputs": [], "source": [ "### Question 1: Array Shape and Total\n", "# Represent the weekly sales table as a nested list.\n", "# Calculate rows, columns, and the total number of values.\n", "# Print exactly:\n", "# Rows: 3\n", "# Columns: 4\n", "# Values: 12\n", "sales = [[18, 21, 19, 24], [15, 17, 16, 20], [22, 25, 23, 28]]\n", "### Your code starts here.\n", "\n", "\n", "\n", "### Your code ends here.\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [ "hide-input", "lab-answer" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Rows: 3\n", "Columns: 4\n", "Values: 12\n" ] } ], "source": [ "### Solution\n", "sales = [[18, 21, 19, 24], [15, 17, 16, 20], [22, 25, 23, 28]]\n", "\n", "rows = len(sales)\n", "columns = len(sales[0])\n", "values = rows * columns\n", "\n", "print(\"Rows:\", rows)\n", "print(\"Columns:\", columns)\n", "print(\"Values:\", values)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "thebe-interactive" ] }, "outputs": [], "source": [ "### Question 2: Vectorized Price Change\n", "# Add the same price increase to each base price.\n", "# Store the adjusted prices in a list named adjusted_prices.\n", "# Print exactly:\n", "# Adjusted prices: [13, 17, 21, 25]\n", "base_prices = [10, 14, 18, 22]\n", "increase = 3\n", "### Your code starts here.\n", "\n", "\n", "\n", "### Your code ends here.\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [ "hide-input", "lab-answer" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Adjusted prices: [13, 17, 21, 25]\n" ] } ], "source": [ "### Solution\n", "base_prices = [10, 14, 18, 22]\n", "increase = 3\n", "\n", "adjusted_prices = []\n", "for price in base_prices:\n", " adjusted_prices.append(price + increase)\n", "\n", "print(\"Adjusted prices:\", adjusted_prices)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "thebe-interactive" ] }, "outputs": [], "source": [ "### Question 3: Boolean Mask Selection\n", "# Build a list of sales values that meet or exceed the target.\n", "# Store the result in selected_sales.\n", "# Print exactly:\n", "# Selected sales: [120, 135, 150]\n", "sales = [95, 120, 88, 135, 150]\n", "target = 100\n", "### Your code starts here.\n", "\n", "\n", "\n", "### Your code ends here.\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [ "hide-input", "lab-answer" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected sales: [120, 135, 150]\n" ] } ], "source": [ "### Solution\n", "sales = [95, 120, 88, 135, 150]\n", "target = 100\n", "\n", "selected_sales = []\n", "for sale in sales:\n", " if sale >= target:\n", " selected_sales.append(sale)\n", "\n", "print(\"Selected sales:\", selected_sales)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "thebe-interactive" ] }, "outputs": [], "source": [ "### Question 4: Universal Function Style\n", "# Square each demand error and total the squared errors.\n", "# Store the squared values in squared_errors.\n", "# Print exactly:\n", "# Squared errors: [4, 1, 9, 16]\n", "# Total squared error: 30\n", "errors = [2, -1, 3, -4]\n", "### Your code starts here.\n", "\n", "\n", "\n", "### Your code ends here.\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "hide-input", "lab-answer" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Squared errors: [4, 1, 9, 16]\n", "Total squared error: 30\n" ] } ], "source": [ "### Solution\n", "errors = [2, -1, 3, -4]\n", "\n", "squared_errors = []\n", "for error in errors:\n", " squared_errors.append(error ** 2)\n", "\n", "total_squared_error = sum(squared_errors)\n", "print(\"Squared errors:\", squared_errors)\n", "print(\"Total squared error:\", total_squared_error)\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "tags": [ "thebe-interactive" ] }, "outputs": [], "source": [ "### Question 5: Reproducible Sample Summary\n", "# Treat the list below as a saved random sample.\n", "# Calculate the sample size and sample mean.\n", "# Print exactly:\n", "# Sample size: 5\n", "# Sample mean: 42.0\n", "sample = [38, 41, 45, 39, 47]\n", "### Your code starts here.\n", "\n", "\n", "\n", "### Your code ends here.\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "tags": [ "hide-input", "lab-answer" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sample size: 5\n", "Sample mean: 42.0\n" ] } ], "source": [ "### Solution\n", "sample = [38, 41, 45, 39, 47]\n", "\n", "sample_size = len(sample)\n", "sample_mean = sum(sample) / sample_size\n", "\n", "print(\"Sample size:\", sample_size)\n", "print(\"Sample mean:\", sample_mean)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "
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