#                                                                 types.py
#
# Try the following and see what you get.  The function 'type' given an
# argument, say 3, returns the type of the value 3 which is an integer.
# The integer type is represented as <type 'int> in Python.

type (3)

# Now, real numbers (aka floating point numbers):

type (3.14)



# And two boolean values

type (True)
type (False)


# And strings this time

type ("3")


type ("It is a nice day outside.")


# As you may have recognized it by now, any value the language Python, or
# any programming language in general, deals with has a type associated
# with the value.  By using the type information a language processor
# (interpreter in the case of Python) understands what it is dealing with
# and distinguishes one type of value from another.  That way, it would
# not try to do things that would not make sense, for example, trying to 
# add a number to a string.  It also uses the type information to decide
# how much memory to use to represent a value in memory.  An integer is
# typically represented using a smaller amount of memory (say 32 bits)
# than the amount of memory used to represent a real number (say 64 bits).
# So, type information for any value we use in a program is important for
# the language processor as well as for the programmers who write
# application programs.

# In this tutorial we will deal with only a small number of types which 
# will still be sufficient for the kinds of programs that we will write.