Code of Simple Function using Return Statement def func(n): num=0 result=[] while(num<n): result.append(num) num+=1 return result print(func(5)) Python Copy Output: [0,1,2,3,4] It returns the list of values simultaneously. Code of Generator Function using Yield Statement def func...
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What does the "yield" keyword do? What does if __name__ == "__main__": do? How can I safely create a nested directory? Difference between @staticmethod and @classmethod What is the difference between Python's list methods append and extend? What is the difference between venv,...
The interesting difference between coroutines and greenlets for async development is that the former requires specific keywords and features of the Python language to work, while the latter does not. What I mean by this is that coroutine-based applications need to be written using a very specific...
The main goal of ensemble methods is to improve the model's accuracy by balancing bias and variance, producing more stable and reliable predictions. Each individual model (or "learner") may not perform well on its own, but when combined correctly, they can collectively yield a powerful result...
pdfdiffrelies onpdftotextto extract the plaintext from a PDF file. However, small changes in the text between two PDF files can make a huge difference in the resulting extracted text. More often than not, the difference is so large that doing adiffon the output does not yield a sensible ...
The first and most important difference between extending Thread and implementing Runnable comes from the fact thata class can only extend one class in Java. So if you extend the Thread class then your class loses that option and it cannot extend another class, but if youimplement Runnablethen...
#!/usr/bin/python # #a tool to compare tensors in two files or two directories # import sys import os def walk_dir(rootdir): for subdir, dirs, files in os.walk(rootdir): for file in files: yield file def calc_diff(f1, f2): import numpy as np d1 = np.load(f1).flatten() ...
Differences between artificial intelligence, machine learning, and deep learning Summary Deep learning and machine learning are subsets of AI wherein AI is the umbrella term. Each of these technologies can create smart applications. Companies can use machine learning, deep learning, and artificial intel...