Want to learn how to code? Get hands-on with debugging techniques, trace bugs, troubleshoot environments, and confidently build in-demand skills to diagnose code efficiently. Fun and immersive learning awaits!

Dockerfile.tar.gz

Crash

Hang

Mem-Leak

spa2

Python

Go-queue-repro

Python-logging

Go-hang

C-program

SPA-malloc-C

memory-monitoring

Python-otel

Go-with-mod-tidy

spa2-copy

SPA-dns

This course covers debugging and the different techniques that help developers efficiently trace bugs in programming. It also includes guidelines and tips for software developers who must debug applications in production environments. 

You’ll start with introductory concepts of bugs and their life cycle. Next, you’ll cover the basic debugging techniques such as tracing code paths, reproducing the issue, logging, and knowing what to chase. In the next section, you’ll learn debugging techniques for multithreaded applications and the art of finding bugs in crashes and hangs. By the end of the course, you’ll gain knowledge about scaling issues, troubleshooting environments, monitoring, and building debuggable systems.

After completing this course, you’ll have detailed knowledge of debugging and its different techniques. It will also help you enhance your debugging skills, which are applied throughout the life cycle of software development.

Mastering Debugging: Techniques for Efficient Code Diagnosis

#!/usr/bin/env python
import sys
import time
# List of search words
searchWords = ['course', 'education', 'debugging', 'code']

# Function to check if words in wordList are present in allWords
def findWords(wordList, allWords):
    return [w in allWords for w in wordList]  # Return a list indicating if each word is present in allWords

# Define main function
def main():
    start_time = time.time()  # Record the start time
    searchWords = ['course', 'education', 'debugging', 'code']  # List of words to search for
    if len(sys.argv) == 1:  # If no additional arguments were passed
        print("enter file to search in")  # Prompt the user to enter a file name
        return  
    filename = sys.argv[1]  # Get the filename from the command line arguments
    with open(filename) as file:  # Open the file
        lines = [line.rstrip() for line in file]  # Create a list of all lines in the file, removing trailing whitespaces
    print (findWords(searchWords, lines))  # Print the result of the findWords function
    print("--- time taken %s seconds ---" % (time.time() - start_time))  # Print the elapsed time
    return 

if __name__ == '__main__':
    main()


import React from 'react';
import { shallow, configure } from 'enzyme';
import Adapter from 'enzyme-adapter-react-16';

configure({ adapter: new Adapter() });

import HelloWorld from './app';

var TestResult = function() {
    this.succeeded = false;
    this.reason = "";
    this.input = "";
    this.expected_output = "";
    this.actual_output = "";
}

export const executeTests = function() {

  var results = [];

  result = new TestResult();
  result.input = 'HelloWorld Component';
  result.expected_output = "span containing text 'Hello World'"

  let wrapper = shallow(<HelloWorld />);

  // Call your Challenge function here.

  let type = wrapper.type();
  let testSuccessful = true;
  let failureReason;

  if (type !== 'span') {
    testSuccessful = false;
    failureReason = "You need to render exactly one span HTML element";
  } else if (wrapper.props().children != "Hello World") {
     testSuccessful = false;
     failureReason = "You have rendered wrong message in your span element";
  }

  result.actual_output = wrapper.html();

  if (testSuccessful) {
    result.succeeded = true;
    result.reason = "Succeeded"
  } else {
    result.succeeded = false;
    result.reason = failureReason;
  }

  results.push(result);

  return results;
}


React

Dart

GoJS React

Typescript React

Vue.js

Understand the symptoms, causes, and the diagnostic information needed to go after scaling issues.

Scaling Issues

Introduction to Debugging

Bugs Life Cycle

Basic Debugging

Multithreaded Debugging

Code Reading

Crashes and Hangs

Resource Leaks

Debugging Distributed Systems

Scaling Issues

Troubleshooting Environments

Principles for Proactive Product Maintainability

Conclusion

Scaling Issues

What are scaling issues?