One commonly used dunder method is repr. It returns a string that ideally represents a valid Python expression capable of recreating an object.
class Point: def init(self, x, y): self.x = x self.y = y
def __repr__(self):
return f"Point({self.x}, {self.y})"
p = Point(3, 4) print(p) # Output: Point(3, 4)
The main ethical issue raised in the video was that Siraj, the AI Guru, used other people’s code without giving proper credit. He would incorporate code snippets from other developers into his own content without acknowledging their contributions.
This issue could have been avoided if Siraj had simply provided clear and explicit credit to the original developers whose code he utilized. By properly attributing the work and being transparent about his level of involvement, the ethical concerns surrounding the use of developers’ work would have been addressed.
One example of a function within the module is statistics.mean(). This function can be used to calculate the mean of a list of numbers.
For example, the following code would calculate the mean of the list [1, 2, 3, 4, 5]: The Python statistics module is a built-in module that provides functions for performing various statistical operations. It offers a range of functions to calculate basic statistical measures, such as mean, median, mode, variance, standard deviation, and more. The module is part of the Python Standard Library and does not require any external installations.
One example of a function within the module is statistics.mean(). This function can be used to calculate the mean of a list of numbers. import statistics
data = [1, 2, 3, 4, 5]
mean_value = statistics.mean(data)
print(“Mean:”, mean_value)
Output: Mean: 3.0