This document provides an introduction and overview of Anaconda and Python. It discusses what Anaconda is, its key features like Anaconda Navigator, and why Python is useful to learn. It also covers common Python data types like numbers, lists, tuples, strings, dictionaries, and sets. The document includes examples of simple Python programs and exercises for addition, Celsius to Fahrenheit conversion, and calculating area of a circle. It concludes with a recap of the covered topics.

1. RAMCO INSTITUTE OF TECHNOLOGY

2. TOPICS
Introduction to Anaconda & Navigator
General features
 Why We Should Learn Python
Python Application
Data types
Exercises on simple program execution
Active learning
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3. INTRODUCTION TO ANACONDA
Anaconda is an open-source distribution for
python. It is used for data science, machine
learning, deep learning, etc.
With the availability of more than 300 libraries
for data science, it becomes fairly optimal for
any programmer to work on anaconda for data
science.
Anaconda comes with a wide variety of tools to
easily collect data from various sources using
various machine learning and AI algorithms.
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4. ANACONDA NAVIGATOR
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Anaconda Navigator is a graphical user interface (GUI) included in allows
you to launch applications and easily manage packages, environments, and
channels without using command-line commands.

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7. GENERAL FEATURES
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8. WHY WE SHOULD LEARN PYTHON
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10. PYTHON APPLICATION
Web Development
Game Development
Machine Learning and Artificial
Intelligence
Data Science and Data Visualization
 Web Scraping Applications
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11. CONT…
Business Applications
CAD Applications
Embedded Applications
Well-known embedded application could
be the Raspberry Pi which uses Python
for its computing
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13. Data type
• Data type refers to the type and size of data. Variables
can hold values of different data types. Python is a
purely object oriented language. It refers to everything
as an object, including numbers and strings.
• The six standard data types supported by python
includes:
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14. NUMBER
 Number refers to a numeric value. It includes integers,
floating point, and complex numbers
Example:
a = 5
print(a, type(a))
a = 2.0
print(a, type(a))
Output:
5 <class 'int'>
2.0 <class 'float'>
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15. EXAMPLE
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16. • List is an ordered sequence of items. All the items
in a list do not need to be of the same type.
• Lists are mutable. The elements in the list can be
modified.
• To declare a list in python, separate the items
using commas and enclose them within square
brackets [ ].
Example:
>>>a = [5,10,15,20,25,30,35,40]
>>>a[2]
15
DATA TYPE - LIST
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18. LISTS ARE MUTABLE
>>>a = [5,10,15,20,25,30,35,40]
>>>a[3]=17
>>>a
>>>[5,10,15,17,25,30,35,40]
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19. EXAMPLE OF LIST
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20. TUPLE
• Tuple is an ordered sequence of items same as list.
The only difference is that tuples are immutable.
Tuples once created cannot be modified.
• It is defined within parentheses ( ) where items are
separated by commas
Example:
T=("apple","banana","cherry")
print(T)
T=("apple","banana","cherry")
print(T[1])
banana
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21. TUPLE ARE IMMUTABLE
>>> T=(1,"rit",5,7,10)
>>> T
(1, 'rit', 5, 7, 10)
>>> T[3]=4
Traceback (most recent call last):
File "<pyshell#2>", line 1, in <module>
T[3]=4
TypeError: 'tuple' object does not support item
assignment
>>>
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22. STRING
• A String in python can be a series or a
sequence of alphabets, numerals and
special characters.
• Single quotes or double quotes are used to
represent strings.
• >>> s = "This is a string"
• Strings are immutable.
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23. EXAMPLE OF STRING
>>> c="Ramco Institute of Technology"
>>> c
'Ramco Institute of Technology'
>>> print(c)
Ramco Institute of Technology
>>> c[4]
'o'
>>> c[7]
'n'
>>> c[4]="l"
Traceback (most recent call last):
File "<pyshell#5>", line 1, in <module>
c[4]="l"
TypeError: 'str' object does not support item assignment
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24. DICTIONARY
 A dictionary is a collection which is unordered, changeable and
indexed.
 In Python dictionaries are written with curly brackets, and they
have keys and values
Example:
>>> D={"Name":"Latha","Age":20}
>>> D
{'Name': 'Latha', 'Age': 20}
>>> D["Name"]
'Latha'
>>> D["Name"]="Sudha"
>>> D
{'Name': 'Sudha', 'Age': 20}
>>>
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26. SET
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 Set is an unordered collection of data type that is
iterable, mutable and has no duplicate elements.
 Sets can be created by using the built-in set()
function with an iterable object or a sequence by
placing the sequence inside curly braces,
separated by ‘comma’. A set contains only
unique elements.
 The major advantage of using a set, as opposed
to a list, is that it has a highly optimized method
for checking whether a specific element is
contained in the set.

27. EXAMPLE SET
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29. SIMPLE PROGRAM
#Addition of two number
a=19
b=23
c=a+b
print(c)
Output
42
#Getting the input from user
a=int(input("Enter the number"))
b=int(input("Enter another number"))
c=a+b
print(c)
Output
Enter the number5
Enter another number20
25
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30. #program to convert Celsius to Fahrenheit
celsius=int(input("Enter the celsius"))
fahrenheit =(celsius * 1.8) + 32
print(fahrenheit)
Output:
Enter the celsius45
113.0
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31. Calculator
a=int(input("Enter the number"))
b=int(input("Enter another the number"))
sum=a+b
differnce=a-b
product=a*b
quoitent=a/b
reminder=a%b
print("sum=",sum)
print(differnce)
print(quoitent)
print(reminder)
Output:
Enter the number10
Enter another the number5
sum= 15
5
2.0
0
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32. #Swapping of two number
a=5
b=7
temp=a
a=b
b=temp
print(a)
print(b)
Output:
7
5
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33. SIMPLE PROGRAM
#Program to find the area of circle
pi=3.14
r=float(input("Enter the Radius"))
area=pi*r*r
print(area)
Output:
Enter the Radius 5
78.5
>>>
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34. RECAP
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35. CLASS POLL
1.Which of these is not a core data type?
(A) Lists
(B) Dictionary
(C) Tuples
(D) Class
2.What is the output of the following code?
sampleSet = {"Jodi", "Eric", "Garry"}
sampleSet.add(1, "Vicki")
print(sampleSet)
A){‘Vicki’, ‘Jodi’, ‘Garry’, ‘Eric’}
B){‘Jodi’, ‘Vicki’, ‘Garry’, ‘Eric’}
C)The program executed with error
D) None of theses
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36. 3.What is the output of the following code?
str = "pynative"
print (str[1:3])
A)py
B)yn
C)pyn
D)yna
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