Bug Report Handwritten Digit Classifier Missing Python Language Option

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Hey guys,

I've found a bug on the NeetCode.io platform, specifically in the Handwritten Digit Classifier problem. I wanted to bring it to your attention so it can be fixed and make the learning experience smoother for everyone. Here's a detailed report:

Bug Description

The main issue is that the language selector for the Handwritten Digit Classifier problem on NeetCode.io doesn't include Python as an option. This is a problem because Python is a popular language for machine learning and data science, and many users might want to use it to solve this problem. When Python is not available in language options then the compiler will fail, and users won't be able to test their Python code directly on the platform.

Steps to Reproduce

To see this bug for yourself, follow these simple steps:

  1. Go to the Handwritten Digit Classifier problem page on NeetCode.io: https://neetcode.io/problems/handwritten-digit-classifier
  2. Look for the language selection dropdown menu.
  3. Click on the dropdown menu to see the available languages.
  4. You'll notice that Python is not listed as one of the options. This is the bug.

Impact

This bug can be quite frustrating for users who want to implement the Handwritten Digit Classifier using Python. It prevents them from running and testing their code directly on the NeetCode.io platform, which is a key feature for learning and practicing coding skills. It will be best if we discuss and understand handwritten digit classifiers.

Understanding Handwritten Digit Classifiers

Handwritten digit classifiers are a classic problem in the field of machine learning and computer vision. The goal is to create a system that can accurately identify handwritten digits (0-9). These classifiers have numerous practical applications, including:

  • Postal mail sorting: Automating the process of reading and sorting postal mail by recognizing the handwritten zip codes.
  • Bank check processing: Converting handwritten amounts on checks into digital data for automated processing.
  • Data entry: Simplifying data entry tasks by automatically recognizing handwritten digits in forms and documents.

Machine Learning Techniques

Various machine learning techniques can be employed to build handwritten digit classifiers, with the most popular ones including:

  • K-Nearest Neighbors (KNN): A simple yet effective algorithm that classifies a digit based on the majority class among its nearest neighbors in the training data.
  • Support Vector Machines (SVM): A powerful algorithm that finds the optimal hyperplane to separate different digit classes in a high-dimensional space.
  • Neural Networks (Deep Learning): A sophisticated approach that utilizes multi-layered neural networks to learn complex patterns and features from the training data, achieving high accuracy.

Datasets

Common datasets used for training and evaluating handwritten digit classifiers include:

  • MNIST (Modified National Institute of Standards and Technology) dataset: A widely used dataset containing 60,000 training images and 10,000 testing images of handwritten digits.
  • EMNIST (Extended MNIST) dataset: An extension of the MNIST dataset that includes letters and digits, providing a larger and more challenging dataset.

Python Libraries

Python offers a rich set of libraries that can be used to implement handwritten digit classifiers:

  • Scikit-learn: A comprehensive machine learning library that provides implementations of various classification algorithms, including KNN, SVM, and neural networks.
  • TensorFlow and Keras: Powerful deep learning frameworks that enable the creation and training of complex neural networks for digit classification.
  • NumPy and Pandas: Essential libraries for numerical computation and data manipulation, respectively, used for pre-processing and handling image data.

Importance of Language Support

Having Python as a language option on NeetCode.io is crucial for several reasons:

  • Popularity: Python is one of the most popular programming languages in the world, especially in the fields of data science and machine learning.
  • Libraries: Python has a rich ecosystem of libraries specifically designed for machine learning tasks, making it an ideal choice for implementing handwritten digit classifiers.
  • Learning Curve: Python's syntax is relatively easy to learn, making it accessible to beginners and experienced programmers alike.

By not having Python as an option, users are forced to use other languages that they may not be as familiar with, which can hinder their learning process. Fixing this bug will significantly enhance the user experience on NeetCode.io and make it a more valuable resource for learning and practicing machine learning algorithms.

Expected Behavior

The language selector should include Python as one of the available options. When a user selects Python, they should be able to write, run, and test their Python code for the Handwritten Digit Classifier problem directly on the platform. The compiler should work seamlessly with the selected language.

Actual Behavior

Python is missing from the language selector, and users cannot choose it as their preferred language for solving the problem. This prevents them from using Python's powerful machine learning libraries and tools within the NeetCode.io environment. The compiler will fail because no language is set for Python.

Possible Causes

There could be several reasons why Python is not included in the language selector:

  1. Configuration Error: There might be a misconfiguration in the platform's settings that prevents Python from being displayed as an available language.
  2. Missing Integration: The Python runtime environment or compiler might not be properly integrated with the NeetCode.io platform.
  3. Oversight: It's possible that Python was simply overlooked during the initial setup or a recent update of the platform.

Suggested Solutions

To resolve this bug, I recommend the following steps:

  1. Verify Configuration: Double-check the platform's configuration settings to ensure that Python is enabled and included in the list of available languages.
  2. Integrate Python Runtime: If the Python runtime environment or compiler is not integrated, make sure to properly set it up so that Python code can be executed on the platform.
  3. Update Language Selector: Modify the language selector component to include Python as an option in the dropdown menu.
  4. Testing: After implementing these solutions, thoroughly test the language selector and the Python execution environment to ensure that everything works as expected. This step is to make sure the handwritten digit classifier works.

Additional Notes

Including Python support is crucial for a platform like NeetCode.io, which aims to provide comprehensive resources for coding interview preparation and algorithm learning. Python is widely used in the industry, and many users rely on it for solving coding problems.

Adding Python support not only fixes this bug but also enhances the platform's overall value and appeal to a broader audience. Plus, it opens the door for more users to engage with the Handwritten Digit Classifier problem, fostering a more vibrant learning community.

Importance of Bug Reporting

Reporting bugs like this is essential for maintaining the quality and reliability of any software platform. By identifying and addressing issues, developers can ensure that users have a smooth and productive experience. Bug reports help in:

  • Improving User Experience: Fixing bugs leads to a better user experience, making the platform more enjoyable and efficient to use.
  • Enhancing Reliability: Addressing bugs improves the reliability of the platform, ensuring that it functions as expected.
  • Building Trust: A platform that promptly addresses bug reports builds trust among its users, fostering a sense of community and collaboration.

Conclusion

I hope this bug report is helpful. Please let me know if you need any further information or clarification. I'm excited to see Python support added to the Handwritten Digit Classifier problem on NeetCode.io!

Thanks for your hard work in making NeetCode.io a valuable resource for the coding community. By addressing this issue, NeetCode.io can continue to provide a top-notch learning experience for all users. Remember, a well-functioning platform is crucial for anyone looking to master algorithms and data structures, especially when tackling complex problems like handwritten digit classifiers.

Cheers!