DataPy

Welcome to DATAPy! This repo contains my Python learning from basic to data science, featuring basic programming, logic building, data manipulation, analysis, and visualization. Stay tuned for updates and new content!

Learning/Quick-Notes:

• #Use of random module
  import random
  r = random.randint(1, 10)
  print(r)
  

• #Use of calendar module
  import calendar
  y = int(input("Enter the year: "))
  m = int(input("Enter the month: "))
  c = calendar.month(y, m)
  print(c)
  

• #Use of math module
  import math
  print(math.sqrt(25))
  

• #Use of format() funn
  print("{0} is Prime number".format(n))
  

• #Binary, Octal, Hexadecimal funn: convert decimal -> binary, octal, hexadecimal
  bin(), oct(), hex()
  

• #ASCII: Character -> ASCII number {funn}
  ord()
  

• # Data Collection
  data = []
  data.extend([10, 20, 30, 40, 50])
  
  # Data Cleaning
  if 30 in data:
        data.remove(30)
  
  # Data Transformation
  data.sort()
  data.reverse()
  
  # Data Summarization
  total = sum(data)
  max_value = max(data)
  min_value = min(data)
  
  # Preparing for Visualization
  indexed_data = list(enumerate(data))
  
  print("Cleaned Data:", data)
  print("Total:", total)
  print("Max Value:", max_value)
  print("Min Value:", min_value)
  print("Indexed Data:", indexed_data)