Python is a very powerful general-purpose, interpreted, interactive, object-oriented, open source, high-level scripting and programming language, that highlights code readability and enables developers to use fewer lines of code in comparison with any other programming languages. Python supports modules and packages, which encourages program modularity and code reuse. Python supports multiple programming standards and has a large standard library. Python is useful for Data science, Machine learning , DevOps, IoT and AI development.

1. Industry Oriented Python Training
We provide in-depth knowledge with real-time exposure and examples. It’s more interactive and
hands-on based industry-oriented training for true learners.
Introduction to Python Language
 Overview of python
 Why python is the best among multiple Languages
 Usage of Python in Real-world
 What Can You Do with Python?
 Features of Python
 Installation of python
 PyCharm Idle (Real-time tool)
 Basic syntax & Commenting
Variables
 Variables declaration (Is it required?)
 Variables Initialization
 Variables Re-declaration
 Local variable & global variables with examples
 Delete a variable

Numbers
Operators in python
 Arithmetic operators
 Comparison operators
 Logical operators
 Assignment operators
 Identity operators
 Bitwise operators
 Membership operators

String
 Different ways to create a string
 String indexing and string accessing (3 types)
 Upper(), lower(), swapcase(), tittle(), capitalize() 
 center(), ljust(), rjust(),
 startswith(), endswith(), count(), find(), rfind(), index()

2.  string concatenation and string multiplication
 splitting the data in different parts as per user requirement
 split(), join(), partition()
 min(), max(), replace() and sort()
 lstrip(), rstrip(), strip(), zfill(), format()
 isidentifier(), isalpha(), isalnum(), isdigit()
 isupper(), islower(), isspace(),istitle()

List
 Purpose (Importance & Advantages) of learning list.
 creating and working with homogeneous lists
 creating and working with heterogeneous lists
 generating list by using split function
 generating list by using the range function
 list indexing and list slicing
 List slicing (3 types) &Traversing a list
 creating nested lists and indexing nested lists
 Mutable (Modifying list elements)
 index(), count(), Insert(), append(), extend()
 reverse(), min(), max()
 remove(), pop() and clear(),
 Deleting elements from the list (del)
 list concatenation and list multiplication
 Membership functions for list
 Shallow & Deep Copy
 Difference between sort() and sorted()?
Tuple
 Purpose (Importance & Advantages) of learning tuple
 creating and working with homogeneous tuple
 creating and working with heterogeneous tuple
 Converting a list into a tuple
 Converting a tuple into a list
 tuple indexing and tuple slicing
 tuple slicing (3 types) &Traversing a tuple
 creating nested tuples and indexing a nested tuple
 index(), count(), min(), max()
 tuple concatenation

3.  Membership operators for tuple
Dictionary
 Purpose (Importance & Advantages) of learning tuple.
 Converting a list of tuples to a dictionary
 Accessing values
 Updating Dictionary with new key-value pair
 copy() & "dict" constructor
 Delete Dictionary Elements
 Extend dictionary with "update"
 Extracting only keys keys()
 Extracting only values values ()
 fromkeys(), items(), get()
 list of dictionaries & working with them (Accessing)
 dictionary of dictionaries & working with them (Accessing)
Set
 Creating and working with set in different ways
 Normal sets and frozen sets
 Set mutable and unpacking a set data structure
 Creating and working with sets with homogeneous elements
 Creating and working with sets with heterogeneous elements
 Creating empty sets and modifying the empty sets
 Why sets not support indexing and slicing
 Add, remove and discard the elements to set data structure
 issubset, issuperset
 Union, intersection, and its difference.
 Conversions:
 Converting given string data structure into a set
 Converting given list data structure into a set
 Converting given tuple data structure into a set
 Converting given set data structure into a string
 Converting given set data structure into a list
 Converting given set data structure into a tuple
Decision making/ Conditional statements
 If statement
 If else statements

4.  If-elif-else statements
 Nested if else statements
Control flow statements (Loops)
 For Loops (real-time examples)
 With strings
 With list
 With dictionaries
 With sets
 With enumerate
 With Break statements
 With Continue statement
 With else
 While Loops
 Infinite loops
 Break statements
 Continue statement
Functions
 Introduction to Functions
 Types of functions
 Non- recursive functions
 without arguments
 With /Required arguments
 Keyword arguments
 Default arguments
 Variable-length arguments
 command-line arguments
 Recursive functions
 Local and Global variable scope
Working with Files & Directories
 Creating a file in a directory
 Open the file in the python
 Different ways to open the file in Python
 Writing data to the file
 Appending data to the existing file
 12 Modes of operations
 Seek and tell methods

5.  Read-line and read-lines
 Creating, Modifying & Deleting directories
Advanced Python
 Lambda functions
 Creating functions by using lambda keyword
 Difference between def and lambda functions
 Working with filter functions
 Working with map functions
 In-depth zipping and unzip functionalities.
 List comprehensions
 Dictionary comprehensions
 Set comprehensions
 Modules - –In-depth
 What is module and purpose of modules
 Different types of modules
 Different ways to import modules
 Usage of an inbuilt module with examples
 Time
 Calendar
 Sys
 Os
 Subprocess
 JSON
 Random
 string
 Usage of External module with examples
 openpyxl, (xlrd & xlwt)
 paramiko
 Creating our modules
Exception Handling
 TypeError
 ValueError
 IOError
 KeyError
 Unknown Exceptions handling

6. Object-Oriented Programming concepts.
 Classes and their importance in Python
 Inheritance
 Multiple Inheritance
 Multi-Level Inheritance
 Hybrid Inheritance
 Polymorphism
 Encapsulation
 Method overriding
 Data Hiding (methods & variables)
 Understanding Super
Iterators and generators
Regular Expressions
 Regex Pattern
 Match vs Search
 Find all vs Finder
 Match Object properties
Modularization of python code (PEP-8 standards)
Overall Interview questions (400) + Assignments (30) + Telephonic
round questions along with answers
Note:
 You don'tneed to write running notes, after completion of the class, we will provide the material as
a soft copy to your E-mail.
 Daily learners should submit the practice files by the end of theday without fail.
 Interview questions & answers will be shared on weekly basis.
 At the end of every day’s session, there will be 10 minutes sessionfor any clarifications.
 Resume Preparation
 Job Assistance
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Phone: +91-9491 628 222 / +91-9491 629 222