This document provides an overview of the Python programming language, including its history, key features, applications, popular uses, and data analysis libraries. It describes Python's origins in the late 1980s, common versions, and naming based on the Monty Python comedy troupe. The document outlines Python's simplicity, open source nature, object orientation, portability, extensive libraries, and popular uses like web development, science/engineering, education, and more. It also lists several major companies and organizations that use Python.

1. For Data Analysis
PRAVEEN NAIR
blog.ninethsense.com/

2. HISTORY
• Late 1980
• Started using by 1989
• V1.0 – 1994-2000
• v2.0 – 2000-2010
• v3.0 – 2008-current

3. Origin of name - Python

4. Guido van Rossum

6. Highlights
• Simple and Easy to Learn
• Free and Open Source
• High Level Language
• Portable
• Object Oriented
• Embeddable
• Extensive Libraries

7. Applications for Python
• Web and Internet Development
• Scientific and Numeric
• Education
• Desktop GUIs
• Software Development

8. Who uses Python?
• Google
• Yahoo
• YouTube
• BitTorrent
• Maya
• Intel, Cisco, HP, Seagate, IBM etc.
• Pixar/Disney
• JPMorgan, UBS, Citadel
• NASA
• Redhat
• USA CIA

9. INSTALL

10. Python Interactive Shell

11. interpreter OR compiler ?

12. Types
• Dynamic Typing
• Strong Typing

13. Python programming basics
Program 1
Program 2

14. help
>>> help(math)
>>> help(math.sin)
Help on built-in function sin in module math:
sin(...)
sin(x)
Return the sine of x (measured in radians).

15. Lists

16. Strings
>>> s = "Hello World"
>>> s.upper()
'HELLO WORLD'
>>> s.lower()
'hello world'
>>> s.find("ll")
2
>>> s.split("o")
['Hell', ' W', 'rld']
>>> s[2:6]
'llo '

17. Strings - cont
>>> a = "Hello"
>>> a
'Hello'
>>> a[0]
'H'
>>> a[0] = "t"
Traceback (most recent call last):
File "<pyshell#3>", line 1, in <module>
a[0] = "t"
TypeError: 'str' object does not support item
assignment
>>> a = ['hello','what','abc']
>>> a.sort()
>>> a
['abc', 'hello', 'what']
>>> a.append("test")
>>> a
['abc', 'hello', 'what', 'test']
>>> a.append("test")
>>> a
['abc', 'hello', 'what', 'test']
>>> a.sort()
>>> a
['abc', 'hello', 'test', 'what']
>>> a.reverse()
>>> a
['what', 'test', 'hello', 'abc']
>>> a.insert(0,"blah")
>>> a
['blah', 'what', 'test', 'hello', 'abc']
>>>

18. Dictionary
>>> a = {'c': 'ccc', 'a': 'aaa', 'b': 'bbb'}
>>> a
{'c': 'ccc', 'a': 'aaa', 'b': 'bbb'}
>>> a["b"]
'bbb'
>>> a.get("b")
'bbb'
>>> a.keys()
dict_keys(['c', 'a', 'b'])
>>> a.values()
dict_values(['ccc', 'aaa', 'bbb'])
>>> a.items()
dict_items([('c', 'ccc'), ('a', 'aaa'), ('b', 'bbb')])
>>> del a["a"]
>>> a
{'c': 'ccc', 'b': 'bbb'}
>>> a.update({"a":"aaaa"})
>>> a
{'c': 'ccc', 'a': 'aaaa', 'b': 'bbb'}
>>>

19. Bool
>>> bool(1)
True
>>> bool(0)
False
>>> bool("")
False
>>> bool("test")
True
>>> bool(True)
True
>>> bool(False)
False
s = "Hello World"
if "ll" in s:
print("Found")
else:
print("Not Found")
if "o" not in s:
print("Found")
else:
print("Not Found“)

20. Bool - cont.
a = "hello"
if a == "test":
b = "test"
elif a == "hello":
b = "hello"
elif a == "blah":
b = "blah"
print("Answer:“,b)
a = 30
b = 10
c = 20
if (a > b):
if (a > c):
print ("Big = ", a)
else:
print ("Big = ", c)
elif (b > c):
print ("Big = ", b)
else:
print ("Big = ", c)
a = 14
if (1 <= a <= 10):
print("Yes!")
else:
print("No!")

21. For
>>> for l in "HELLO WORLD":
print(l)
H
E
L
L
O
W
O
R
L
D
>>> a = ["hello","world","kochi"]
>>> a
['hello', 'world', 'kochi']
>>> for x in a:
print(x)
hello
world
kochi
>>>
>>> for i in range(1,5):
print(i)
1
2
3
4

22. Files – reading and writing
>>> f = open("d:test.txt")
>>> f.readline()
'Praveenn'
>>> open("d:test.txt").readlines()
['Praveenn', 'Hellon', 'World']
>>> o = open("d:test2.txt","w")
>>> o.write("test")
>>> o.close()

23. Modules
>>> import math
>>> math.pi
3.141592653589793
>>> from math import pi
>>> pi
3.141592653589793

24. Data Analysis libraries for Python
plotly
Ref: https://wiki.python.org/moin/NumericAndScientific

25. DEMO