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Assignment Operators

Assignment operators are used in Python to assign values to variables. a = 5 is a simple assignment operator that assigns the value 5 on the right to the variable a on the left. There are various compound operators in Python like a += 5 that adds to the variable and later assigns the same. It is equivalent to a = a + 5.

 

It is worth noting that:

  • **: exponentiation

  • ^: exclusive-or (bitwise)

  • x << y Returns x with the bits shifted to the left by y places (and new bits on the right-hand-side are zeros). This is the same as multiplying x by 2**y.

  • x >> y Returns x with the bits shifted to the right by y places. This is the same as dividing x by 2**y.

 

Let's have a look at a short program whose task is to write some of the first powers of two:

pow = 1

for exp in range(16):

print("2 to the power of", exp, "is", pow)

pow *= 2

The exp variable is used as a control variable for the loop, and indicates the current value of the exponent. The exponentiation itself is replaced by multiplying by two.

Since 2**0 is equal to 1, then 2 × 1 is equal to 21, 2 × 21 is equal to 22, and so on.

In other words,

In the first round, "2 to the power of", 0, "is", 1

pow == pow * 2 == 1*2 = 2

In the second round, "2 to the power of", 1, "is", 2

pow == pow*2 == 2*2 = 4

In the third round, "2 to the power of", 1, "is", 4

pow == pow*4 == 4*2 = 8

...............................................................................

What is the greatest exponent for which our program still prints the result?

 

Answer:

2 to the power of 0 is 1

2 to the power of 1 is 2

2 to the power of 2 is 4

2 to the power of 3 is 8

2 to the power of 4 is 16

2 to the power of 5 is 32

2 to the power of 6 is 64

2 to the power of 7 is 128

2 to the power of 8 is 256

2 to the power of 9 is 512

2 to the power of 10 is 1024

2 to the power of 11 is 2048

2 to the power of 12 is 4096

2 to the power of 13 is 8192

2 to the power of 14 is 16384

2 to the power of 15 is 32768

aboutME

I am John Fan Zhang, a data analyst and finance researcher. I hold a PhD in finance, CFA charter and full membership of CFA New Zealand Society. I have fifteen-year experience in corporate investment and eight-year experience in advanced data analysis. My research focuses on the effect of social psychology (culture) on financial decisions. Finance research involves heaps of data analyses that lead me to the data field. I am a Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics (Excel, Power BI, and SQL). Aside from Excel, Power BI and SQL, I am also familiar with econometric tools such as Stata, Eviews, and MATLAB. I use OX and Python for programming. I am an active data community event participant, volunteer, speaker, moderator, program reviewer, including PASS Marathon 2020, Global AI BootCamp Auckland 2019, SQL Saturday Auckland (2017, 2018, 2019), and Definity Conference (2018, 2019, 2020, Auckland, New Zealand).

Auckland, New Zealand

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