Programming assignments can be challenging, especially at the master’s level, where complex algorithms, data structures, and advanced programming paradigms come into play. Many students struggle to balance their coursework with other commitments, making it difficult to meet tight deadlines. If you find yourself wondering, "Who can Do My Programming assignment with precision and quality?"—look no further! At Programming Homework Help, we offer expert solutions tailored to your academic needs. Our team of professionals ensures accuracy, timely delivery, and plagiarism-free content.
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Sample Master-Level Programming Assignment Questions & Solutions
To showcase the quality of our work, here are two sample master-level programming assignments with solutions completed by our experts.
Assignment 1: Implementing a Multi-Threaded Web Scraper in Python
Question:
Develop a multi-threaded web scraper using Python that extracts the titles of articles from a given list of news websites. The program should:
Use the
requestsandBeautifulSouplibraries to fetch and parse HTML content.Implement multi-threading using the
threadingmodule.Save the extracted titles in a structured JSON format.
Solution:
import threadingimport requestsfrom bs4 import BeautifulSoupimport json# List of news websites to scrapeurls = [ "https://news.ycombinator.com/", "https://www.bbc.com/news", "https://www.cnn.com/"]# Function to fetch and parse titlesdef fetch_titles(url, results): response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') titles = [title.text for title in soup.find_all('h1')][:5] results[url] = titles# Dictionary to store resultsresults = {}threads = []# Creating threadsfor url in urls: thread = threading.Thread(target=fetch_titles, args=(url, results)) thread.start() threads.append(thread)# Joining threadsfor thread in threads: thread.join()# Save results to a JSON filewith open("scraped_titles.json", "w") as file: json.dump(results, file, indent=4)print("Web scraping completed successfully!")This solution demonstrates the effective use of multi-threading to speed up web scraping. If you’re struggling with a similar assignment and need professional guidance, don’t hesitate to ask, "Can you Do My Programming assignment?" Our experts are here to assist you.
Assignment 2: Implementing a Dijkstra’s Algorithm in Java
Question:
Write a Java program to implement Dijkstra’s shortest path algorithm. The program should:
Take an adjacency matrix as input.
Compute the shortest path from a given source node to all other nodes.
Display the shortest distances.
Solution:
import java.util.*;class Dijkstra { private static final int INF = Integer.MAX_VALUE; public static void dijkstra(int[][] graph, int src) { int n = graph.length; int[] dist = new int[n]; boolean[] visited = new boolean[n]; Arrays.fill(dist, INF); dist[src] = 0; for (int count = 0; count < n - 1; count++) { int u = minDistance(dist, visited); visited[u] = true; for (int v = 0; v < n; v++) { if (!visited[v] && graph[u][v] != 0 && dist[u] != INF && dist[u] + graph[u][v] < dist[v]) { dist[v] = dist[u] + graph[u][v]; } } } printSolution(dist); } private static int minDistance(int[] dist, boolean[] visited) { int min = INF, minIndex = -1; for (int v = 0; v < dist.length; v++) { if (!visited[v] && dist[v] <= min) { min = dist[v]; minIndex = v; } } return minIndex; } private static void printSolution(int[] dist) { System.out.println("Vertex Distance from Source"); for (int i = 0; i < dist.length; i++) { System.out.println(i + " " + dist[i]); } } public static void main(String[] args) { int[][] graph = { {0, 10, 0, 30, 0}, {10, 0, 50, 0, 0}, {0, 50, 0, 20, 10}, {30, 0, 20, 0, 60}, {0, 0, 10, 60, 0} }; dijkstra(graph, 0); }}This Java program efficiently computes the shortest paths using Dijkstra’s algorithm. If you find yourself struggling with similar Java assignments, reach out to us today for expert assistance!
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