How Does the Name-Main Idiom Work? 05:43 When Should You Use the Name-Main Idiom? 07:19 When Should You Not Use the Name-Main Idiom? 08:42 How Do You Use the Name-Main Idiom? 03:26 What Does if __name__ == "__main__" Mean in Python? (Quiz) What Does if __name__ == "__main__" M...
Python >>> def factorial(number): ... # Validate input ... if not isinstance(number, int): ... raise TypeError("Sorry. 'number' must be an integer.") ... if number < 0: ... raise ValueError("Sorry. 'number' must be zero or positive.") ... # Calculate the factorial...
numpy.reshape(): In this tutorial, we will learn about the numpy.reshape() method, and what does -1 mean in this method.
Python code to demonstrate the use of [:, :] in NumPy arrays# Import numpy import numpy as np # Creating a numpy array arr = np.zeros((3, 3)) # Display original image print("Original Array:\n",arr,"\n") # working on all rows but a specific column arr[1, :] = 3 # ...
In this article, we will understand what exactly higher-order functions are and get an overview of a few handy functions in this module. Higher-order functions¶ A function is defined as a piece of code that takes arguments, which act as input, does some processing involving these inputs ...
Quoting from https://docs.python.org/3/c-api/long.htmlThe current implementation keeps an array of integer objects for all integers between -5 and 256, when you create an int in that range you just get back a reference to the existing object. So it should be possible to change the ...
NLP (Natural Language Processing) is used for analyzing, understanding, and generating human language data, aiding in sentiment analysis, chatbots, translation, and other language-related tasks in data science. What does NLP mean in data? Is NLP required for data science? What is NLP with examp...
model starts by efficiently encoding a representation of what you want to generate. For example, a generative AI model for text might begin by finding a way to represent the words as vectors that characterize the similarity between words often used in the same sentence or that mean similar ...
Because the algorithm adjusts as it evaluates training data, the process of exposure and calculation around new data trains the algorithm to become better at what it does. The algorithm is the computational part of the project, while the term “model” is a trained algorithm that can be used...
Because the algorithm adjusts as it evaluates training data, the process of exposure and calculation around new data trains the algorithm to become better at what it does. The algorithm is the computational part of the project, while the term “model” is a trained algorithm that can be used...