Introduction to Python

Introduction
to
Python
Readable. Simple. Dynamic. Fast.
Powerful. In-demand.
Spotle.ai Study Material
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Instructors
Mousum Dutta
Chief Data Scientist, Spotle.ai
IIT Kharagpur
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The demand for Python is growing….
Machine
Learning
Data Analysis
Python has
been the
fastest growing
language,
globally, over
the last few
years, fuelled
mostly by its
usage in AI and
Data Science
Source: stackoverflow.com

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The demand for Python is growing….
Machine
Learning
Data Analysis
The average
salary of a
Python
developer in
India is
4.8 lacs per
annum
Source: stackoverflow.com

The case for Python
✓ High Usability
✓ Flexibility – Python allows
easy cross-app integration
and also inter-operability
with other programming
languages
✓ Readable and simple –
Easier to learn, code and
debug
✓ Large standardised library
simplifying complex tasks
✓ Interactive mode with the
integrated, easy to use
development environment
Jupyter
Web Development
• Core Python Packages: Flask, Django
Data Science
• Core Python Packages: Pandas, Matplotlib, StatsModels
Text Processing
Core Python Packages: NLTK, TextBlob, Spacy
Artificial Intelligence
• Core Python Packages: SciKit – Learn, Tensorflow, Keras
Scientific and Numeric Computing
• Core Python Packages: NumPy
Python Use Cases and Libraries
Used By:
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Python 2 vs Python 3
Python 2 Python 3
Legacy
Though used in 63% of software projects till
2017-18, its adoption is declining. As of 2019, the
latest version of Python 2, Python 2.7 is officially
retired
Way Ahead
Uptick in adoption. New libraries are being for
Python3
ASCII
Strings are stored as ASCII by default
UNICODE
Strings are stored as UNICODE by default
3/2 = 2
In Python 2, 3/2 is integer division or floor division.
So Print 3/2 will print 1
3/2 = 1.5
In Python 3, 3/2 returns the expected 1.5. So Print
(3/2) will print1.5
Print is a Statement
Print “Welcome to Spotle.ai”
Print is a Function
Print (“Welcome to Spotle.ai”)
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Python Basics

Compiler vs Python Interpreter
Basis Compiler Interpreter
Input It takes an entire program at a
time
It takes a single line of code or
instruction at a time
Output It generates intermediate object
code
It does not produce any intermediate
object code
Working
mechanism 
The compilation is done before
execution
Compilation and execution take
place simultaneously
Speed Comparatively faster Slower
Memory  Memory requirement is more due
to the creation of object code
It requires less memory as it does
not create intermediate object code
Errors  Display all errors after
compilation, all at the same time
Displays error of each line one by
one
Error detection Difficult Easier comparatively
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https://techdifferences.com/difference-between-compiler-and-interpreter.html

In Python, indentation is not just for
making it look pretty
In Python, indentation has well defined meaning. Indentation is used to
define block of codes. See the below example.
If (1==1)
print (“All is well”)
Else
print (“End of the world”)
print (“Bye Bye”)
If (1==1)
print (“All is well”)
Else
print (“End of the world”)
print (“Bye Bye”)
This will print
All is well
Bye Bye
The above piece of code will
consider print (“Bye Bye”) outside
if-else
This will print
All is well
But will not print Bye Bye
The above piece of code will
consider print (“Bye Bye”) under
else condition
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In Python, everything is an object
Python is an object oriented language where everything is an object. Unlike
Ruby, python objects are not necessarily sub-classable or have methods.
They are objects in the sense they can be passed in functions or assigned
to variables.
class Myself
def self_love(self):
Print(“I am awesome”)
Me = Myself()
Me.self_love()
Here Myself is a class, the function self_love is called a method of Myself
and Me is an object of type Myself.
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Data Types and Operators in Python
Python supports 5 standard data types.
Numbers
String
List
Tuple
Dictionary
Python supports a wide variety of operators.
✓ Arithmetic Operators
✓ Comparison (Relational) Operators
✓ Assignment Operators
✓ Logical Operators
✓ Bitwise Operators
✓ Membership Operators
✓ Identity Operators
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Setting up Python
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This video will help you setup Python Environment in your computer and write your
first Python program.

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Certificate Masterclass In
Python Fundamentals
with Hands-ons

Certificate Masterclass in Python – What
will you learn?
✓ Go from an absolute beginner to a confident programmer level with complete
understanding of Python basics
✓ Master the latest version of Python, Python 3 in 6 weeks
✓ Get adequate hands-on exercises to practise all your Python concepts.
✓ Cover fundamentals and basic libraries including Classes and objects,
Numbers, Strings, Basic Operators
✓ Practise Python through comprehensive quizzes with detailed notes to help you
understand solutions
✓ Build your foundation for more advanced programs including Data Science,
Text Processing, Machine Learning and Deep Learning using Python
✓ Understand career paths in Python and how to prepare for career opportunities
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Learn Python In The Most Intense Course Ever: https://spotle.ai/learn/python
20 Interactive Videos with
illustrative examples
24/7 Access to chat and
career support
4
Live Classes With
Instructors to learn
concepts first-hand
20 Quizzes to test your
learning on the go
7 Hours Of Lecture
20 Practice sessions and
real-life projects
Learn at your own pace with integrated
instructor support
Interactive Videos with
illustrative examples
Quizzes to test your
learning on the go
Hours Of Lecture
Live Classes With
Instructors to learn
concepts first-hand
Practice sessions and
real-life projects
Access to chat and
career support
15
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Your Take - aways
✓ Certificate Of Completion.
✓ Integrated live projects and performance based internship.
✓ Membership of Spotle AI Alumni club with priority
access to courses, events and mentoring.
✓ Optimized career path fitment through
AI.
✓ Personalised career
guidance and assistance.
Sign up for the Masterclass: https://spotle.ai/learn/python
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Introduction to Python

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