Shashmitha Parvathaneni

.vscode/launch.json

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+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "type": "R-Debugger",
+            "name": "Launch R-Workspace",
+            "request": "launch",
+            "debugMode": "workspace",
+            "workingDirectory": "${workspaceFolder}"
+        },
+        {
+            "type": "R-Debugger",
+            "name": "Debug R-File",
+            "request": "launch",
+            "debugMode": "file",
+            "workingDirectory": "${workspaceFolder}",
+            "file": "${file}"
+        },
+        {
+            "type": "R-Debugger",
+            "name": "Debug R-Function",
+            "request": "launch",
+            "debugMode": "function",
+            "workingDirectory": "${workspaceFolder}",
+            "file": "${file}",
+            "mainFunction": "main",
+            "allowGlobalDebugging": false
+        },
+        {
+            "type": "R-Debugger",
+            "name": "Debug R-Package",
+            "request": "launch",
+            "debugMode": "workspace",
+            "workingDirectory": "${workspaceFolder}",
+            "includePackageScopes": true,
+            "loadPackages": [
+                "."
+            ]
+        },
+        {
+            "type": "R-Debugger",
+            "request": "attach",
+            "name": "Attach to R process",
+            "splitOverwrittenOutput": true
+        }
+    ]
+}

Shashmitha Parvathaneni/Task1

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+#Simple Calculator
+def add(x, y):
+    return x + y
+
+def subtract(x, y):
+    return x - y
+
+def multiply(x, y):
+    return x * y
+
+def divide(x, y):
+    return "Error: Division by zero!" if y == 0 else x / y
+print("Select operation:")
+print("1. Add")
+print("2. Subtract")
+print("3. Multiply")
+print("4. Divide")
+choice = input("Enter choice (1/2/3/4): ")
+num1 = float(input("Enter first number: "))
+num2 = float(input("Enter second number: "))
+if choice == '1':
+    print("Result: ", add(num1, num2))
+elif choice == '2':
+    print("Result: ", subtract(num1, num2))
+elif choice == '3':
+    print("Result: ", multiply(num1, num2))
+elif choice == '4':
+    print("Result: ", divide(num1, num2))
+else:
+    print("Invalid input")

Shashmitha Parvathaneni/Task2

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+## weather app
+import requests
+api_key = '7a63db5cb1aa389d14af1589720bb4db'
+user_input = input("Enter city: ")
+weather_data = requests.get(f"https://api.openweathermap.org/data/2.5/weather?q={user_input}&units=imperial&APPID={api_key}")
+if weather_data.json()['cod'] == '404':
+    print("No City Found")
+else:
+    weather = weather_data.json()['weather'][0]['main']
+    temp = round(weather_data.json()['main']['temp'])
+
+    print(f"The weather in {user_input} is: {weather}")
+    print(f"The temperature in {user_input} is: {temp}ºF")

Shashmitha Parvathaneni/Task3

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+## Data Analysis with Pandas
+#import libraries
+import seaborn as sns
+import pandas as pd
+import matplotlib.pyplot as plt
+# Load the Iris dataset
+iris = sns.load_dataset('iris')
+# Display basic information about the dataset
+print("Basic Information about the Iris dataset:")
+print(iris.info())
+# Display the first few rows of the dataset
+print("\nFirst few rows of the Iris dataset:")
+print(iris.head())
+# Check for missing values
+print("\nChecking for missing values:")
+print(iris.isnull().sum())
+# Descriptive statistics
+print("\nDescriptive statistics of the Iris dataset:")
+print(iris.describe())
+# Aggregations
+print("\nAverage values of each species:")
+print(iris.groupby('species').mean())
+# Visualizations
+# Pairplot
+sns.pairplot(iris, hue='species')
+plt.title('Pairplot of Iris Dataset')
+plt.show()
+# Boxplot
+plt.figure(figsize=(10, 6))
+sns.boxplot(data=iris, x='species', y='petal_length')
+plt.title('Boxplot of Petal Length by Species')
+plt.show()
+# Correlation matrix
+correlation_matrix =iris.corr()
+plt.figure(figsize=(8, 6))
+sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5)
+plt.title('Correlation Matrix of Iris Dataset')
+plt.show()

Shashmitha Parvathaneni/Task4

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+## To-Do List
+import cmd
+class TaskManager(cmd.Cmd):
+    """Simple task manager"""
+
+    intro = "Welcome to Task Manager! Type 'help' for a list of commands."
+    prompt = "(taskmgr) "
+
+    def __init__(self):
+        super().__init__()
+        self.tasks = []
+
+    def do_add(self, arg):
+        """Add a new task: add <task_description>"""
+        self.tasks.append(arg)
+        print("Task added successfully.")
+
+    def do_delete(self, arg):
+        """Delete a task by index: delete <task_index>"""
+        try:
+            index = int(arg)
+            if 0 <= index < len(self.tasks):
+                del self.tasks[index]
+                print("Task deleted successfully.")
+            else:
+                print("Invalid task index.")
+        except ValueError:
+            print("Invalid task index.")
+
+    def do_list(self, arg):
+        """List all tasks"""
+        if self.tasks:
+            for i, task in enumerate(self.tasks):
+                print(f"{i}: {task}")
+        else:
+            print("No tasks found.")

Shashmitha Parvathaneni/Task5

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+## chatbot
+import nltk
+from nltk.chat.util import Chat, reflections
+# Define the patterns and responses
+patterns = [
+    (r'hi|hello|hey', ['Hello!', 'Hi there!', 'Hey!']),
+    (r'how are you?', ['I am good, thank you!', 'I am doing well, thank you for asking.']),
+    (r'your name?', ['I am a chatbot.', 'My name is Chatbot.']),
+    (r'(weather|temperature) (.*)', ['I am sorry, I cannot provide weather information.']),
+    (r'quit', ['Bye!', 'Goodbye!', 'See you later.'])
+]
+# Create the chatbot
+chatbot = Chat(patterns, reflections)
+def simple_chat():
+    print("Chatbot: Hi! How can I help you today?")
+    while True:
+        user_input = input("You: ")
+        response = chatbot.respond(user_input)
+        print("Chatbot:", response)
+        if user_input.lower() == 'quit':
+            break
+
+if __name__ == "__main__":
+    simple_chat()