Introduction to Python

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Introduction

to

Python

Readable. Simple. Dynamic. Fast.

Powerful. In-demand.

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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

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The demand for Python is growing….

Machine Learning

Data Analysis

_{The average}

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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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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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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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Certificate Masterclass In

Python Fundamentals

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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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