CSC 458– Predictive Analytics I, Fall 2018, Intro. To Python

CSC 458– Predictive Analytics I, Fall 2018, Intro. To Python This is an outline. Come to class or attend via RTVC and play along as we play with Python to learn how it works.

Introduction to Python • ~parson/DataMine/prepdata1 has two examples. • lsTOarff.py is my completed, working code example. • psTOarff.py is my solution to last fall’s assignment 1. • Both of these Python programs extract data from a “raw data” text file and format it for an ARFF file (Attribute Relation File Format) for use by the Weka data mining tool. • In ~parson/DataMine see lsTOarff.rawtestdata.txt lsTOarff.arff.ref psTOarff.rawtestdata.txt psTOarff.arff.ref.

Python’s read-eval-print UI. • You can interact with Python to compute interactively. It can also interpret script files. You create variables on the fly. They hold whatever type of data you put into them. $ python –V # Can be version 2.x or 3.x. Use 2.x per course page. Python 2.7.5 $ python >>> a = 2 ; b = 4.7 ; (a - 7) * b -23.5 # ; and newline are command separators

Python uses indentation, not {}, to delimit flow-of-control constructs >>> a = 7 >>> if a <= 7: print (a, "Is low”) else: print(a, "is high”) 7 Is low # Do NOT mix leading spaces with TABS in assignments. # Use leading spaces to be compatible with handouts.

for loop iterates over list of values. >>> a = 7 >>> mylist = [a, 'a', "Strings use either delimiter"] >>> for s in mylist: print(s) 7 a Strings use either delimiter

range() creates a list of numbers >>> for i in range(1,3): print("i is", i) # Note that the final value is exclusive i is 1 i is 2 >>> for i in range(3,-3,-2): # -2 here is an increment print("i is", i) i is 3 i is 1 i is -1

Use and, or, not instead of &&, ||, ! as used in Java or C++ >>> a = 1 ; b = 5 >>> while (a <= 3) and (b >= 3): print("a, b", a, b) a += 1 ; b = b - 2 a, b 1 5 a, b 2 3 >>> print("a, b", a, b) a, b 3 1

Basic data types • Basic data types include strings, ints, floats, and None, which is Python’s “no value” type. • Use a raw string to make escape sequences literal. >>> a = "a string" ; b = 'another string' ; c = -45 ; d = 4.5 ; e = None >>> print(a,b,c,d,e) a string another string -45 4.5 None >>> raws = r'a\n\nraw string' >>> print(raws) a\n\nraw string

Aggregate data types • A Python list is a sequence of values. • A dictionary maps keys to values. • We won’t use sets or tuples in assignment 1. >>> L = ['a', 1, ["b", 2]] >>> for e in L: print(e) a 1 ['b', 2]

Dictionary maps keys to values >>> m = {'a': 1, "b" : 2} ; m['c'] = 3 >>> for k in m.keys(): print(k, m[k]) a 1 c 3 b 2 >>> 'b' in m # same as 'b' in m.keys() # Python 2.x allows: m.has_key('b') True >>> 'z' in m False

Python has functions and classes • We will not use them in assignment 1. >>> def f(a, b): ... return a + b ... >>> f(1, 3.5) 4.5 >>> f("prefix", 'suffix') 'prefixsuffix'

Library modules & more • We will go over the re (regular expression), sys (system), and datetime modules’ functions used in assignment 1 when we go over it. • Come to class. We will explore Python in class in person or via RTVC. • https://docs.python.org/2/ has a tutorial and more detailed documentation.

CSC 458– Predictive Analytics I, Fall 2018, Intro. To Python