The ____ method in generator objects is used to resume the generator and send a value back to it.
- next
- resume
- send
- yield
The send method is used to resume a generator and send a value back to it. This is commonly used for implementing two-way communication with a generator.
The ____ method in a metaclass is called when a new object is created from a class.
- __del__
- __init__
- __new__
- __str__
The __new__ method in a metaclass is called when a new object is created from a class. This method is responsible for creating and returning a new instance of the class.
The ____ keyword in Python is used to define conditions under which a block of code will be executed.
- if
- switch
- try
- while
In Python, the 'if' keyword is used to define conditions for conditional execution of code blocks. Code within an 'if' block is executed only if the specified condition evaluates to true.
The ____ function in the functools module is used to transform a method into a class method decorator.
- classmethod
- decorator
- method2class
- staticmethod
The classmethod function in the functools module is used to transform a method into a class method decorator. Class methods can be called on the class itself rather than on instances of the class.
You need to normalize a NumPy array so that the values range between 0 and 1. How would you achieve this?
- Using Exponential Transformation: np.exp(arr)
- Using Min-Max Scaling: (arr - arr.min()) / (arr.max() - arr.min())
- Using Square Root Transformation: np.sqrt(arr)
- Using Standardization: (arr - arr.mean()) / arr.std()
To normalize a NumPy array to the range [0, 1], you should use Min-Max Scaling. It involves subtracting the minimum value of the array from each element and then dividing by the range (the difference between the maximum and minimum values). This method scales the data linearly to the desired range.
You need to implement a feature where the Python back-end sends a dynamically generated PDF file to the front-end. How would you handle this scenario to ensure the user can easily download the file?
- Convert the PDF to a series of images for easy viewing.
- Provide an endpoint that generates the PDF and sends it with appropriate headers (e.g., Content-Disposition).
- Store the PDF in a JavaScript variable and display it directly in the browser.
- Use a third-party file-sharing service for PDF distribution.
To ensure easy PDF download, the back-end should provide an endpoint that generates the PDF and sends it with appropriate headers, such as Content-Disposition with a "attachment" disposition type. This prompts the browser to download the file.
You need to implement a data structure that can quickly provide the smallest element. Which data structure will you use?
- Array
- Binary Search Tree
- Hash Table
- Linked List
To quickly find the smallest element, a Binary Search Tree (BST) is the most suitable data structure. It allows for efficient searching, insertion, and deletion of elements, making it ideal for maintaining a sorted order and finding the smallest element in O(log n) time complexity.
You need to develop a recurrent neural network (RNN) to analyze sequential data. How would you implement this using TensorFlow or PyTorch?
- In PyTorch, you can define custom RNN architectures using PyTorch's nn.Module class. You have more flexibility in designing the RNN architecture and can create custom RNN cells, making it a powerful choice for sequential data analysis.
- In TensorFlow, you can use the TensorFlow Keras API to create RNN layers, such as tf.keras.layers.SimpleRNN or tf.keras.layers.LSTM. These layers provide a high-level interface for building RNNs, making it straightforward to implement sequential data analysis tasks.
- Use PyTorch's DataLoader for data preprocessing, which is part of data loading and not specific to RNN implementation.
- Use TensorFlow's tf.data API to preprocess the sequential data, but this is not the primary method for implementing RNNs.
Both TensorFlow and PyTorch offer ways to implement RNNs for sequential data analysis. TensorFlow provides high-level RNN layers in its Keras API, while PyTorch offers more flexibility in defining custom RNN architectures using PyTorch's neural network modules.
You need to design a system to find the top 10 most frequent words in a very large text corpus. Which data structures and algorithms would you use to ensure efficiency in both space and time?
- A) Array and Selection Sort
- B) Hash Map and Quick Sort
- C) Trie and Merge Sort
- D) Priority Queue (Heap) and Trie
To efficiently find the top 10 most frequent words, you should use a Priority Queue (Heap) to keep track of the top frequencies and a Trie or Hash Map to count word occurrences. A Trie can be used to efficiently store and retrieve words, while a Priority Queue helps maintain the top frequencies. The other options are less efficient in terms of both time and space complexity.
You need to design a data structure that allows for retrieval of the most recently added element and removal of the least recently added element. How would you design such a data structure?
- Linked List
- Priority Queue
- Queue
- Stack
To achieve this behavior, you can use a Priority Queue. It maintains elements in a way that allows efficient retrieval of both the most recently added element and the removal of the least recently added element.
You need to create a visualization that represents the correlation between all numerical variables in a dataset. Which kind of plot would you use in Seaborn?
- Bar Chart
- Box Plot
- Heatmap
- Scatter Plot
To visualize the correlation between numerical variables, a heatmap is typically used in Seaborn. It provides a color-coded matrix where each cell represents the correlation coefficient between two variables, making it easy to identify patterns and relationships.
You need to create a singleton class, i.e., a class that allows only one instance. Which Python concept can help you ensure that there is only one instance of the class in the system?
- Abstract Classes
- Decorators
- Private Methods
- Singleton Pattern
The Singleton Pattern is used to ensure that a class has only one instance and provides a way to access that instance from any point in the application. It typically involves creating a private constructor and a static method to retrieve the single instance.