Daily Data Science Puzzle [python] import numpy as np # Goals in five matches goals_brazil = np.array( [1,2,3,1,2]) goals_germany = np.array( [1,0,1,2,0]) br = np.average(goals_brazil) ge = np.average(goals_germany) print(br>ge) [/python] What is the output of this puzzle? *Beginner Level* Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. This …

Is This an Average Puzzle? Yes! Read More »

Daily Data Science Puzzle [python] import numpy as np # graphics data a = [[1, 1], [1, 0]] # stretch vectors b = [[2, 0], [0, 2]] c = np.matmul(a, b) print(c[0,1]) [/python] What is the output of this puzzle? Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. …

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Daily Data Science Puzzle [python] import numpy as np # simple regression model W = np.array([0.7, 0.2, 0.1]) # Google stock prices (in US-$) # [today, yesterday, 2 days ago] x = np.array([1131, 1142, 1140]) # prediction y = np.dot(W, x) # do we expect growing prices? if y > x[0]: print("buy") else: print("sell") [/python] …

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Daily Data Science Puzzle [python] import numpy as np # popular instagram accounts # (millions followers) inst = [232, #"@instagram" 133, #"@selenagomez" 59, #"@victoriassecret" 120, #"@cristiano" 111, #"@beyonce" 76] #"@nike" inst = np.array(inst) superstars = inst > 100 print(superstars[0]) print(superstars[2]) [/python] What is the output of this puzzle? Numpy is a popular Python library for …

Who Dominates Instagram or Comparing Each Element of a Numpy Array Read More »

Daily Data Science Puzzle [python] import numpy as np # apple stock prices (May 2018) prices = [ 189, 186, 186, 188, 187, 188, 188, 186, 188, 188, 187, 186 ] prices = np.array(prices) data_3day = prices.reshape(4,3) print(int(np.average(data_3day[0]))) print(int(np.average(data_3day[-1]))) [/python] What is the output of this puzzle? Numpy is a popular Python library for data …

Analyzing Stock Data with Numpy – The Reshape and Average Functions Read More »

Daily Data Science Puzzle [python] import numpy as np year = np.linspace(0, 365, 366) print(int(year[-1] – year[-2])) [/python] What is the output of this puzzle? Numpy is a popular Python library for data science focusing on linear algebra. This puzzle is about the useful function linspace. In particular, linspace(start, stop, num) returns evenly spaced numbers …

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Daily Data Science Puzzle [python] import numpy as np # save $122.50 per month x = 122.5 net_wealth = np.arange(0, 1000, x) # how long to save >$1000? print(len(net_wealth)) [/python] What is the output of this puzzle? Numpy is a popular Python library for data science focusing on linear algebra. This puzzle is about the …

How to Create a Sequence of Linearly Increasing Values with Numpy Arange? Read More »

Daily Data Science Puzzle [python] import numpy as np n = 100 # dimensionality W = np.zeros((n,n)) for i in range(len(W)): W[i][i] = 2 X = np.ones((n,n)) Y = W * X print(int(Y[-1][-1])) [/python] What is the output of this puzzle? Numpy is a popular Python library for data science focusing on linear algebra. When …

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Daily Data Science Puzzle [python] import numpy as np # salary in ($1000) [2015, 2016, 2017] dataScientist = [130, 132, 137] productManager = [127, 140, 145] designer = [118, 118, 127] softwareEngineer = [129, 131, 137] A = np.array([dataScientist, productManager, designer, softwareEngineer]) # salary raise for data scientists B = np.ones((4,1)) B[0] = 1.1 C …

Numpy Matrix Multiplication Read More »