How can you pass dynamic data from a Python back-end to a JavaScript variable in the front-end?
- Include Python variables directly in JavaScript code.
- Use AJAX requests to fetch data from the Python back-end.
- Use HTTP cookies to store Python data for JavaScript to access.
- Use WebSockets to establish a real-time connection.
To pass dynamic data from a Python back-end to a JavaScript variable, you typically use AJAX (Asynchronous JavaScript and XML) requests. This allows you to make asynchronous requests to the back-end, retrieve data, and update JavaScript variables without refreshing the entire page.
How can you perform element-wise multiplication of two NumPy arrays?
- array1 * array2
- array1.multiply(array2)
- np.multiply(array1, array2)
- np.multiply_elements(array1, array2)
To perform element-wise multiplication of two NumPy arrays, you can simply use the * operator between the two arrays. NumPy overloads arithmetic operations to work element-wise.
How can you optimize the performance of static files (CSS, JS, Images) in a web application developed using Python frameworks?
- Compress and minify static files
- Optimize database queries
- Use serverless functions
- Utilize a Content Delivery Network (CDN)
Utilizing a Content Delivery Network (CDN) is a highly effective way to optimize the performance of static files. CDNs distribute your files across multiple geographically distributed servers, reducing latency and improving load times.
How can you optimize the recursive Fibonacci function with dynamic programming?
- Convert it to an iterative function
- Implement a tail-recursive version
- Increase the base case value
- Use memoization to store intermediate results
Dynamic programming can optimize the recursive Fibonacci function by using memoization to store previously calculated Fibonacci numbers, reducing redundant calculations. The other options don't directly optimize the recursive approach.
How would you organize a group of related functions into a module?
- By declaring them in the global scope.
- By defining them inside an object literal.
- By placing them in a separate JavaScript file and exporting them using the export keyword.
- By using classes and inheritance.
To organize a group of related functions into a module, you should place them in a separate JavaScript file and export them using the export keyword. This helps maintain code modularity and reusability.
How would you override a method defined in a superclass in Python?
- By creating a new method with the same name in the subclass
- By importing the superclass method
- By renaming the superclass method
- By using the @override decorator
In Python, to override a method defined in a superclass, you create a new method with the same name in the subclass. This new method in the subclass will replace (override) the behavior of the superclass method.
How would you prevent overfitting in a deep learning model when using frameworks like TensorFlow or PyTorch?
- By increasing the model's complexity to better fit the data.
- By reducing the amount of training data to limit the model's capacity.
- By using techniques like dropout, regularization, and early stopping.
- Overfitting cannot be prevented in deep learning models.
To prevent overfitting, you should use techniques like dropout, regularization (e.g., L1, L2), and early stopping. These methods help the model generalize better to unseen data and avoid fitting noise in the training data. Increasing model complexity and reducing training data can exacerbate overfitting.
How would you replace all NaN values in a DataFrame with zeros in Pandas?
- df.fillna(0)
- df.NaNToZero()
- df.replace(NaN, 0)
- df.zeroNaN()
To replace all NaN values with zeros in a Pandas DataFrame, you can use the fillna() method with the argument 0. This will fill all NaN occurrences with zeros.
How would you run a Python script from the command line and pass arguments to it?
- python execute script.py with-args arg1 arg2
- python -r script.py arg1 arg2
- python run script.py --args arg1 arg2
- python script.py arg1 arg2
To run a Python script from the command line and pass arguments, you use the python command followed by the script name and the arguments separated by spaces, like python script.py arg1 arg2. This allows you to pass arguments to your script for processing.
How would you set a breakpoint in a Python script to start debugging?
- breakpoint()
- debug()
- pause()
- stop()
In Python 3.7 and later, you can set a breakpoint by using the breakpoint() function. It pauses the script's execution and enters the interactive debugger at that point, allowing you to examine variables and step through code.