ufunc

Creating own ufunc

• To create own ufunc, we need to define a function just like normal functions in python and add it to the Numpy ufunc library from the frompyfunc() method
• This frompyfunc() method takes the following arguments
  • function – name of the function
  • the numper of input argument (array)
  • the number of output arrays
    
• Arthimetic ufuncs
  
• Decimal rounding ufuncs: There are five ways of rounding off decimals in numpy
  • truncation
  • flx
  • rounding
  • floor
  • cell
    
• Logarithms
  
• LCM (Lowest common multiple) and GCD (Greatest common Denominator)/HCF
  
• Trignometric functions
  
• Sets
  
• Refer Here for the jupyter notebook

Pandas

• The primary data structures of the pandas are
  • one dimensional => Series
  • two dimesnional => DataFrame
• Pandas is a python package (library) for data analysis
• Pandas is a toolbox for data manipulation operations
  • sorting
  • filtering
  • cleaning
  • deduping
  • aggregating
  • pivoting
  • many more
• Pandas is an opensource library Refer Here
• Pandas work seamlessly with numbers, text, dates, time, missing data and more.
  
• Refer Here for the jupyter notebook.