Web Marketing Corporate Training Ludhiana-Punjab-India

Python Training Classes in Ludhiana

Python is mature and versatile. There are a lot of benefits of Python as is a high-level dynamic programming language. It is quite easy to learn and provides powerful features. Python code has a very 'natural' style to it, which is quite easy to read and understand. Python programming language runs on any platform, ranging from Windows to Linux to Macintosh, Solaris etc.

The simplicity of Python is what it makes so popular. There is no doubt that Python is growing more and more, not only for web development but also for multiple domains like Automation, Cloud, Networking, Cyber Security, Big Data, AI, IOT, Data Science, Bio-technology, Biology and Bioinformatics computation, Astronomy, Research and other similar areas. It is only because of its superiority and ease to write complex code to develop unique platforms. It is not only beneficial to learn and develop Python based web application but also rewarding at mes which makes you stand out of other developers as not everyone dedicate their potential only towards Python and establish their long lasting career opportunities as really expertise. Python developers are hard to find in the world of people who are following the crowd in terms of technology preference.

Python Programming Course Curriculum

Python Ecosystem

Python Features


Application Areas


Job Opportunities

Getting Python

Local Environment Setup

Setting Path at Linux and Windows

Python Environment Variables

Running Python

Installation of PyCharm

Features and Usage

First Python Program

pythonanywhere- code and run Python in the cloud

First Python Program

Python Identifiers

Reserved Words

Lines and Indentation

Multi-Line Statements

Quotation in Python

Comments in Python

Using Blank Lines

Waiting for the User

Multiple Statements on a Single Line

Multiple Statement Groups as Suites

Command Line Arguments

Parsing Command-Line Arguments

Assigning Values to Variables

Multiple Assignment

Standard Data Types

Numeric Data Types





Data Type Conversion

Immutable and mutable objects

Accordion Content

Types of Operator

Arithmetic Operators

Comparison Operators

Assignment Operators

Bitwise Operators

Logical Operators

Membership Operators

Identity Operators

Operators Precedence

Python Assert Decision Making: IF Statement

IF...ELIF...ELSE Statements

Nested IF Statements

Single Statement Suites

Loops: while Loop Statements, for Loop Statements, Nested loops, Loop Control Statements

break statement

Continue Statement

Pass Statement

Iterator and Generator

Iterators and iterables

Numbers: Mathematical Functions

Random Number Functions

Trigonometric Functions

Mathematical Constants

Strings: Accessing Values in Strings

Updating Strings

Escape characters

String Special Operators

String Formatting Operator

Triple Quotes

Unicode string

Various String capitalize() Method

Functions: Python built-ins (batteries included) Defining a Function

Calling a Function

Pass by Reference vs Value

Function Arguments

Required Arguments

Keyword Arguments

Default Arguments

Variable-length Arguments

The Anonymous Functions

The return Statement

Global vs. Local variables

Recursive function is and describe the benefits of using recursion



Yield and Python Closure (Function Factory)

Python Lists

Accessing Values in Lists

Updating Lists

Delete List Elements

Basic List Operations


Slicing and Matrixes

Built-in List Functions & Methods

Accessing Values in Tuples


Delete Tuple Elements

Basic Tuples Operations


Slicing and Matrixes

No Enclosing Delimiters

Built-in Tuple Functions

Date & Time: What is Tick

What is Time Tuple

Getting Current Time

Getting Formatted Time

Getting calendar for a month

The time Module

Time Method

Time Modules & Functions

Dictionary: Accessing Values in Dictionary Updating Dictionary

Delete Dictionary Elements

Properties of Dictionary Keys

Built-in Dictionary Functions & Methods

Modules and Packages: The import Statement

The from...import Statement

The from...import * Statement

Executing Modules as Scripts

Locating Modules


Namespaces and Scoping

The dir( ) Function

The globals() and locals() Functions

The reload() Function

Packages in Python

Overview of OOP Terminology

Classes and Objects

Define classes with data fields and methods

Static or Class Variables

Non-static or Instance variables

Local variables

Construct an object using a constructor that invokes the initializer

Create and initialize data fields

Access the members of objects using the dot operator

Reference an object itself with the self-parameter

Built-In Class Attributes

Abstract Classes

Instance Attributes

Class attributes and destructors

Methods vs Constructors

Destroying Objects

Use UML graphical notations to describe classes and objects

Distinguish between immutable and mutable objects

Hide data fields to prevent data corruption and make classes easy to maintain


Creating an Abstract Base Class

Apply class abstraction and encapsulation to software development

Explore the differences between the procedural paradigm and the object-oriented paradigm


Types of Inheritance

Implementing inheritance

Define a subclass from a superclass through inheritance

Using properties of one class into another class

Adding/ removing static/non-static variable from outside the class

Explore the object class and its methods

Implementing inheritance

Dunder or Magic Methods

Data Hiding

Adding and retrieving dynamic attributes of classes

Understand polymorphism and dynamic binding

Constructor Overloading

Overriding Methods

Override methods in a subclass

Base Overloading Methods

Overlapping and Overloading Operators

Implementing inheritance

Determine whether an object is an instance of a class by using the isinstance function

Design a GUI class for displaying a reusable clock

Discover relationships among classes
Design classes by using composition and inheritance relationships

What is Exception?

Standard Exceptions

Handling an Exception

The except Clause with No Exceptions

The except Clause with Multiple Exceptions

The try-finally Clause

Argument of an Exception

Raising an Exception

User-Defined Exceptions

Assertions in Python

Identify the Functions and Methods to Be Used

Printing to the Screen

Reading Keyboard Input

The input Function

Opening and Closing Files

Reading and Writing Files

Renaming and Deleting Files

Directories in Python

File & Directory Related Methods



Database Connection

Creating Database

INSERT Operation

READ Operation


DELETE Operation

Performing Transactions

COMMIT Operation

ROLLBACK Operation

Disconnecting Database

Handling errors