Main

activities/1.1-basic-jupyter-notebook.ipynb

@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "f2b4273a",
    "metadata": {},
    "outputs": [
@@ -45,7 +45,7 @@
    ],
    "source": [
     "# This is a Python code cell\n",
-    "print('Hello, JupyterLab!')"
+    "print('Hello Chandrashekhar')"
    ]
   },
   {

src/1-line-plot.ipynb

@@ -14,7 +14,27 @@
    "outputs": [],
    "source": [
     "# TASK: Create a line plot with x values ranging from 0 to 10 and y values as the square of x.\n",
-    "# Customize the plot by adding a title, labels for both axes, and a grid."
+    "# Customize the plot by adding a title, labels for both axes, and a grid.\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# Generate x values from 0 to 10\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "\n",
+    "# Calculate y values as the square of x\n",
+    "y = x**2\n",
+    "\n",
+    "# Create the line plot\n",
+    "plt.plot(x, y)\n",
+    "\n",
+    "# Customize the plot\n",
+    "plt.title(\"Quadratic Function: y = x^2\")\n",
+    "plt.xlabel(\"x-axis\")\n",
+    "plt.ylabel(\"y-axis\")\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.show()"
    ]
   }
  ],

src/2-bar-plot.ipynb

@@ -14,7 +14,26 @@
    "outputs": [],
    "source": [
     "# TASK: Create a bar plot with the following data: categories = ['A', 'B', 'C', 'D'] and values = [5, 7, 3, 9].\n",
-    "# Use different colors for each bar and add a title to the plot."
+    "# Use different colors for each bar and add a title to the plot.\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Define data\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [5, 7, 3, 9]\n",
+    "\n",
+    "# Define colors for each bar\n",
+    "colors = ['blue', 'green', 'red', 'purple']\n",
+    "\n",
+    "# Create the bar plot\n",
+    "plt.bar(categories, values, color=colors)\n",
+    "\n",
+    "# Add title and labels\n",
+    "plt.title('Bar Plot with Different Colors')\n",
+    "plt.xlabel('Categories')\n",
+    "plt.ylabel('Values')\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],

src/3-scatter-plot.ipynb

@@ -14,7 +14,30 @@
    "outputs": [],
    "source": [
     "# TASK: Create a scatter plot with x = [1, 2, 3, 4, 5] and y = [2, 4, 6, 8, 10].\n",
-    "# Annotate each point with its (x, y) value, and set the title as 'Scatter Plot with Annotations'."
+    "# Annotate each point with its (x, y) value, and set the title as 'Scatter Plot with Annotations'.\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data for the scatter plot\n",
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [2, 4, 6, 8, 10]\n",
+    "\n",
+    "# Create the scatter plot\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "plt.scatter(x, y, color='blue')\n",
+    "\n",
+    "# Annotate each point with its (x, y) value\n",
+    "for i in range(len(x)):\n",
+    "    plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]), textcoords=\"offset points\", xytext=(5,5), ha='left')\n",
+    "\n",
+    "# Set the title and labels\n",
+    "plt.title('Scatter Plot with Annotations')\n",
+    "plt.xlabel('X-axis')\n",
+    "plt.ylabel('Y-axis')\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()\n"
    ]
   }
  ],

src/4-pie-chart.ipynb

@@ -14,7 +14,26 @@
    "outputs": [],
    "source": [
     "# TASK: Create a pie chart with the following data: labels = ['Python', 'Java', 'C++', 'JavaScript'] and sizes = [40, 25, 20, 15].\n",
-    "# Display the percentages on the chart using autopct."
+    "# Display the percentages on the chart using autopct.\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data for the pie chart\n",
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "\n",
+    "# Create the pie chart\n",
+    "plt.figure(figsize=(8, 8))\n",
+    "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140)\n",
+    "\n",
+    "# Set the title\n",
+    "plt.title('Programming Language Popularity')\n",
+    "\n",
+    "# Equal aspect ratio ensures that pie is drawn as a circle\n",
+    "plt.axis('equal')\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()\n"
    ]
   }
  ],

src/5-subplot.ipynb

@@ -14,7 +14,40 @@
    "outputs": [],
    "source": [
     "# TASK: Create a 2x2 subplot layout.\n",
-    "# Plot a line chart in the first subplot, a bar chart in the second, a scatter plot in the third, and a pie chart in the fourth."
+    "# Plot a line chart in the first subplot, a bar chart in the second, a scatter plot in the third, and a pie chart in the fourth.\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Create a 2x2 subplot layout\n",
+    "fig, axs = plt.subplots(2, 2, figsize=(12, 10))\n",
+    "\n",
+    "# Line chart data\n",
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [2, 3, 5, 7, 11]\n",
+    "axs[0, 0].plot(x, y, marker='o')\n",
+    "axs[0, 0].set_title('Line Chart')\n",
+    "\n",
+    "# Bar chart data\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [10, 20, 15, 25]\n",
+    "axs[0, 1].bar(categories, values, color='skyblue')\n",
+    "axs[0, 1].set_title('Bar Chart')\n",
+    "\n",
+    "# Scatter plot data\n",
+    "x_scatter = [1, 2, 3, 4, 5]\n",
+    "y_scatter = [5, 4, 3, 2, 1]\n",
+    "axs[1, 0].scatter(x_scatter, y_scatter, color='green')\n",
+    "axs[1, 0].set_title('Scatter Plot')\n",
+    "\n",
+    "# Pie chart data\n",
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "axs[1, 1].pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90)\n",
+    "axs[1, 1].set_title('Pie Chart')\n",
+    "axs[1, 1].axis('equal')  # Equal aspect ratio\n",
+    "\n",
+    "# Adjust layout\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
    ]
   }
  ],

src/6-histogram.ipynb

@@ -14,7 +14,24 @@
    "outputs": [],
    "source": [
     "# TASK: Create a histogram for the following data: data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5].\n",
-    "# Customize the histogram with a title, labels for the x-axis, and a specific color for the bars."
+    "# Customize the histogram with a title, labels for the x-axis, and a specific color for the bars.\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data for the histogram\n",
+    "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n",
+    "\n",
+    "# Create the histogram\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "plt.hist(data, bins=5, color='orange', edgecolor='black')\n",
+    "\n",
+    "# Customize with title and axis labels\n",
+    "plt.title('Histogram of Data')\n",
+    "plt.xlabel('Value')\n",
+    "plt.ylabel('Frequency')\n",
+    "\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
    ]
   }
  ],