This document provides examples for practicing basic Python operations, control flow statements, and graphing with matplotlib. It includes examples to: 1) Create lists using range() and dictionary using zip(); 2) Print "fizz" or "buzz" based on modulo (%) operations and create a list of multiples of 3 and 5 between 1-20; 3) Find the 10th Fibonacci number using a recursive function; 4) Draw the graph of a binary entropy function using np.log2().

1. Basic use of Python
-Practice-
National Institute of Technology, Anan College, JAPAN
Yoshiki Satotani

2. 1. Basic operations

3. Basic data types
• Create following lists with range function.
1. [0, 1, 2, 3, 4]
2. [3, 4, 5, 6, 7]
3. [3, 6, 9, 12, 15, 18]
4. [2, 4, 6, 8, 12, 16, 20] hint: use + operator

4. Basic data types
• Create a dictionary that
1. Keys are [0, 1, …, 10]
2. Values are (key) * 2
i.e. d[0]=0, d[1]=2, d[2]=4, …, d[10]=20
Hint: use zip() function

5. 2. Control flow statements

6. Control flow statements practice
• For integer variable named ‘x’,
• Print ‘fizz’ if x can be divided by 3
• Print ‘buzz’ if x can be divided by 5
(e.g. if x is 10, print ‘buzz’, x is 15, print ‘fizz buzz’)
(hint: use % operator(e.g. 10 % 3 = 1, 14 % 5 = 4))

7. Control flow statements practice
• Create a list only contains
• Multiple of 3 or 5 (3, 5, 6, 9…)
• Between 1 and 20
i.e. [3, 5, 6, 9, 10, 12, 15, 18, 20]

8. Control flow statements practice
• Find the 10-th Fibonacci sequence
• Fibonacci sequence is
• 0, 1, 1, 2, 3, 5, 8, …
• The next number is found by adding up the two numbers before it(e.g.
5th number 3 = 2 + 1).
• Hint: You need to use recursive function

9. 3. Graph with matplotlib

10. Graph practice
• Draw the graph of
binary entropy function
𝐻 𝑝 = −𝑝log2 𝑝 − 1 − 𝑝 log2 1 − 𝑝
• Hint: use np.log2 to
calculate log2