Package-Based Functions (math, random, pickle, and csv)

The next topic is Package-Based Functions for the following modules: math, random, pickle, and csv. Each module will have 10 programs showcasing some commonly used functions.

math Module Programs Collection

1. Calculate the Square Root of a Number

   import math
   num = 16
   print("Square root of", num, "is:", math.sqrt(num))
   

2. Find the Greatest Common Divisor (GCD)

   num1, num2 = 48, 18
   print("GCD of 48 and 18:", math.gcd(num1, num2))
   

3. Calculate the Power of a Number

   base, exponent = 2, 5
   print(f"{base} raised to the power {exponent} is:", math.pow(base, exponent))
   

4. Calculate the Cosine of an Angle (in radians)

   angle = math.radians(60)
   print("Cosine of 60 degrees:", math.cos(angle))
   

5. Calculate the Floor of a Number

   num = 5.67
   print("Floor value of 5.67:", math.floor(num))
   

6. Calculate the Ceiling of a Number

   num = 5.67
   print("Ceiling value of 5.67:", math.ceil(num))
   

7. Calculate the Factorial of a Number

   num = 5
   print("Factorial of 5:", math.factorial(num))
   

8. Convert Degrees to Radians

   degrees = 180
   print("Radians for 180 degrees:", math.radians(degrees))
   

9. Find the Absolute Value Using fabs()

   num = -10.5
   print("Absolute value of -10.5:", math.fabs(num))
   

10. Calculate Logarithm of a Number

    num = 100
    print("Logarithm of 100 with base 10:", math.log10(num))
    

random Module Programs Collection

1. Generate a Random Integer Between Two Values

   import random
   print("Random integer between 1 and 10:", random.randint(1, 10))
   

2. Generate a Random Floating-Point Number Between 0 and 1

   print("Random float between 0 and 1:", random.random())
   

3. Choose a Random Element from a List

   fruits = ["apple", "banana", "cherry"]
   print("Random fruit:", random.choice(fruits))
   

4. Generate a Random Even Number within a Range

   print("Random even number between 0 and 10:", random.randrange(0, 11, 2))
   

5. Shuffle a List Randomly

   numbers = [1, 2, 3, 4, 5]
   random.shuffle(numbers)
   print("Shuffled list:", numbers)
   

6. Generate a Random Number within a Specified Range Using uniform()

   print("Random float between 1 and 10:", random.uniform(1, 10))
   

7. Simulate a Coin Toss

   result = "Heads" if random.randint(0, 1) == 1 else "Tails"
   print("Coin toss result:", result)
   

8. Pick Multiple Random Elements from a List

   print("Random sample of 2 elements:", random.sample(fruits, 2))
   

9. Generate Random Number with Gaussian Distribution

   print("Random number from Gaussian distribution:", random.gauss(0, 1))
   

10. Generate a Secure Random Number

    print("Secure random number:", random.SystemRandom().randint(1, 100))
    

pickle Module Programs Collection

1. Save a List to a File Using Pickle

   import pickle
   data = [1, 2, 3, 4, 5]
   with open("data.pkl", "wb") as file:
       pickle.dump(data, file)
   

2. Load a List from a Pickled File

   with open("data.pkl", "rb") as file:
       data = pickle.load(file)
       print("Loaded data:", data)
   

3. Save a Dictionary to a File

   person = {"name": "Alice", "age": 30}
   with open("person.pkl", "wb") as file:
       pickle.dump(person, file)
   

4. Load a Dictionary from a Pickled File

   with open("person.pkl", "rb") as file:
       person = pickle.load(file)
       print("Loaded dictionary:", person)
   

5. Pickle Multiple Objects to a File

   items = [1, "hello", {"a": 1, "b": 2}]
   with open("items.pkl", "wb") as file:
       pickle.dump(items, file)
   

6. Load Multiple Objects from a Pickle File

   with open("items.pkl", "rb") as file:
       items = pickle.load(file)
       print("Loaded items:", items)
   

7. Pickle an Object with a Custom Class

   class Person:
       def __init__(self, name, age):
           self.name = name
           self.age = age
   with open("custom.pkl", "wb") as file:
       pickle.dump(Person("Alice", 30), file)
   

8. Unpickle an Object with a Custom Class

   with open("custom.pkl", "rb") as file:
       person = pickle.load(file)
       print("Loaded person:", person.name, person.age)
   

9. Pickle and Unpickle Lists Using pickle.dumps() and pickle.loads()

   data = pickle.dumps([1, 2, 3])
   print("Serialized data:", data)
   print("Deserialized data:", pickle.loads(data))
   

10. Check Pickle Version

    print("Pickle protocol version:", pickle.DEFAULT_PROTOCOL)
    

csv Module Programs Collection

1. Write a List to a CSV File

   import csv
   data = [["Name", "Age"], ["Alice", 30], ["Bob", 25]]
   with open("people.csv", "w", newline="") as file:
       writer = csv.writer(file)
       writer.writerows(data)
   

2. Read Data from a CSV File

   with open("people.csv", "r") as file:
       reader = csv.reader(file)
       for row in reader:
           print(row)
   

3. Write a Dictionary to a CSV File

   data = [{"Name": "Alice", "Age": 30}, {"Name": "Bob", "Age": 25}]
   with open("people_dict.csv", "w", newline="") as file:
       writer = csv.DictWriter(file, fieldnames=["Name", "Age"])
       writer.writeheader()
       writer.writerows(data)
   

4. Read Data from a CSV File as Dictionary

   with open("people_dict.csv", "r") as file:
       reader = csv.DictReader(file)
       for row in reader:
           print(row)
   

5. Append Rows to an Existing CSV File

   new_data = [["Charlie", 35], ["Daisy", 40]]
   with open("people.csv", "a", newline="") as file:
       writer = csv.writer(file)
       writer.writerows(new_data)
   

6. Write Data with Custom Delimiter

   data = [["Name", "Age"], ["Alice", 30], ["Bob", 25]]
   with open("people_semicolon.csv", "w", newline="") as file:
       writer = csv.writer(file, delimiter=';')
       writer.writerows(data)
   

7. Read CSV with Custom Delimiter

   with open("people_semicolon.csv", "r") as file:
       reader = csv.reader(file, delimiter=';')
       for row in reader:
           print(row)
   

8. Write Single Row to a CSV

   with open("single_row.csv", "w", newline="") as file:
       writer = csv.writer(file)
       writer.writerow(["Alice", 30])
   

9. Check Number of Rows in a CSV

   with open("people.csv", "r") as file:
       reader = csv.reader(file)
       rows = list(reader)
       print("Number of rows:", len(rows))
   

10. Read Only Specific Columns from a CSV

    with open("people.csv", "r") as file:
        reader = csv.reader(file)
        for row in reader:
            print("Name:",row[0])