Python

Course Overview

Python is a functional and flexible programming language that is powerful enough for experienced programmers to use, but simple enough for beginners as well. Python is a well-developed, stable and fun to use programming language that is adaptable for both small and large development projects.

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes programmers more productive and their programs ultimately better.

We are Best Institute for Python Training. Techwave Academy provides Python Training  Lab Facility. Python Training must be focused on providing practical knowledge about the development and programming tools and their implementation on a real-time basis along with theoretical awareness.

Modules Covered

Module 1: Introduction to Python

  • What is Python?
  • Who developed Python?
  • History of Python
  • Why Python is popular?

Module 2: Variables in Python

  • Single Assigned Variables
  • Multiple Assigned Variables
  • User-Defined Variables

Module 3: Various Data Types in Python

  • Numeric Format Data Type such as Int, Float, and Complex Format Data
  • Sequence Format Data such as Strings, Lists, and Tuples
  • Dictionary Format Data
  • Set Format Data

Module 4:Operators Used in Python Programming Language

  • Arithmetic Operators
  • Assignment Operators
  • Relational Operators 
  • Logical Operators

Module 5: Working with the Conditional Statements in Python 

  • What are Conditional Statements?
  • Various Structures of Conditional Statements
    • If
    • if-else
    • if-elif
    • if-elif-else
    • nested-if

Module 6: Working with the Looping Statements in Python

  • What are Looping Statements in Python?
  • Working with For and While loop Structure
  • Using Break
  • Continue Break
  • Pass Statements in Looping Statements

Module 7: Functions/Methods used in Python

  • What are Functions?
  • Working with Different Types of Functions
    • User-Defined Functions
    • In-built Functions
    • Lambda Functions

Module 8: Object Oriented Programming Structure (OOPS) in Python

  • What is Oops Concept in Python?
  • Features of Object-Oriented Programming Structure
  • What are Classes and Objects in Oops Concept?
  • Working with the Structure of Classes and Objects

Module 9: Global and Local Variables in OOPS

  • What is a Global Variable?
  • What is a Local Variable?
  • Working with the Declaration of Global Data
  • Fetching the Values of Global Data
  • Working with the Declaration of Local Data

Module 10: Structure of Constructors in Python

  • What are Constructors?
  • How to declare of Constructors?
  • Usage of Constructors

Module 11: Using Inheritance in Python

  • What is Inheritance?
  • Working with Different Types of Inheritance
    • Single Inheritance
    • Multi-Level Inheritance
    • Multiple Inheritance
    • Hierarchical Inheritance
    • Hybrid Inheritance

Module 12: Polymorphism Concept in Python

  • What is Function/Method Overloading?
  • What is Function/Method Overriding?
  • What is the Key Difference Between Function Overloading and Overriding?

Module 13: Working with File Handling in Python

  • What is File Handling and how it is Helpful? 
  • How to Open a File in Python?
  • How to Read from a File in Python?
  • Procedure of Writing and Appending Data to File in Python

Module 14: Handling Exceptions in Python

  • Working with Various Methods for Handling Exceptions
  • How to Raise an Exception in Python?

Module 15: Modules in Python

  • What are Modules in Python?
  • Working with the Creation of Modules
  • Importing all the Attributes from a Module in Python
  • Importing Specific Attributes from a Module

Module 16: Packages Concept in Python

  • What are Packages?
  • How to Create a Package in Python Environment?
  • Importing Modules from Package
  • Importing Specific Function from a Module in Python Environment

Module 17: Working with Web Scrapping using Python

  • What is Web Scrapping?
  • Working with the “Requests” and “BeautifulSoup” modules for Web Scrapping
  • How to Inspect the Website for Scrapping
  • Perform Parsing on the HTML
  • Hands-on 

Module 18: NumPy for Mathematical Operations in Python

  • What is NumPy Package in Python Environment?
  • Installation of NumPy 
  • Working with Various Operations in NumPy

Module 19: Connecting Python with MySQL Database

  • Environment Setup
  • Creating a Database Connection in Python Environment
  • Creating a New Database and New Tables in Python Environment
  • Performing Various Operations on the Tables

Module 20: OS Module

  • File and Directory Operations
  • Process and Environment
  • System Information
  • File Permissions and Ownership
  • File System Operations
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