No posts with label IBM. Show all posts
No posts with label IBM. Show all posts
Popular Posts
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This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of Cali...
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1. What is the output of following Python code? a = 'a' print(int(a, 16)) Solution and Explanation: Let's break down the expr...
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Introduction to Modern Statistics is a re-imagining of a previous title, Introduction to Statistics with Randomization and Simulation. The...
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What you'll learn Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their d...
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Code: g = [1, 2, 3] h = [1, 2, 3] print(g is h) print(g == h) Solution and Explanation: In Python, the expressions g = [1, 2, 3] and h ...
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Code: str_a = "hello" str_b = "hello" print(str_a is str_b) print(str_a == str_b) Solution and Explanation: In Pytho...
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Code: dict_a = {"a": 1, "b": 2} dict_b = {"a": 1, "b": 2} print(dict_a is dict_b) print(dict_a == ...
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Code: num = [7, 8, 9] *mid, last = num[:-1] print(mid, last) Solution and Explanation: let's break down the code: num = [7, 8, 9] *m...
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import statsmodels.api as sm import numpy as np # Generate some sample data x = np.random.rand(100) y = 2 * x + np.random.randn(100) # Fit...
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Code: h = [5, 6, 7, 8] h.pop() h.pop(0) print(h) Solution and Explanation: Let's break down the given Python code and explain what ea...
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