Who Can Learn Python Training?

• Software Developers
• Professionals from ETL Background
• Big Data Professionals
• Professionals from Analytics Background
• Graduates Looking for a Career in Data Science or Development

In today’s fast-paced technology landscape, staying updated with the latest programming languages is crucial. GSR Infotech is committed to providing you with cutting-edge Python training that covers both fundamental and advanced concepts, delivered by experienced trainers who bring real-world insights into the classroom.

Our commitment extends beyond training. GSR Infotech offers hands-on experience through real-time projects, guided by industry experts. Our technical support team is available to assist you at any stage of your learning journey, ensuring that you achieve your career goals.

Python Training Course Information

 At GSR Infotech, our Python training is structured to start with the basics and progressively cover more advanced topics. Our curriculum is designed to provide a deep understanding of Python, enabling you to confidently apply your skills in real-world scenarios.

Why Choose GSR Infotech for Python Training?

• Expert Instructors: Learn from industry professionals with extensive experience in Python development.
• Hands-On Learning: Participate in practical projects that prepare you for real-world challenges.
• Comprehensive Support: Get assistance with resume building, interview preparation, and navigating the job market.
• Flexible Learning Options: Choose between classroom and online training to suit your schedule.

Python Training Course Content

1. Getting Started with Python

   • Introducing Python
   • Installing Python on Windows
   • Introducing Python IDLE
   • Programming in Interactive Mode
   • Programming in Scripting Mode

2. Types, Variables, and Input/Output

   • Using Quotes and Escape Characters
   • String Concatenation and Repeater Operators
   • Using Mathematical Operators with Numbers
   • Understanding Variables
   • Getting User Input with input()
   • Using String Methods
   • Converting Values

3. Flow Control in Python

   • The if Statement
   • The else Clause
   • Using elif Clause
   • The while Statement
   • Avoiding Infinite Loops
   • Values as Conditions
   • Using Logical Operators
   • Planning Your Program with Pseudocode

4. For Loops and Tuples

   • Using for Loops
   • Using Sequence Operators and Functions with Strings
   • Finding Length with len()
   • Using the in Operator
   • Indexing and Slicing Strings
   • Using the random Module
   • Using Tuples
   • Sequence Operators and Functions with Tuples

5. Dictionaries

   • Using Dictionaries
   • Accessing Dictionary Values
   • Adding, Replacing, and Deleting Key-Value Pairs
   • Functions: get(), keys(), values(), and items()

6. Lists in Python

   • Creating and Using Lists
   • Using len() with Lists
   • The in Operator with Lists
   • Indexing, Slicing, and Concatenating
   • Deleting List Elements with del
   • Using List Methods such as append(), sort(), reverse(), count(), pop(), remove(), insert(), and index()
   • Using Nested Sequences
   • Understanding Shared References

7. Functions in Python

   • Defining Functions
   • Using Parameters and Return Values
   • Using Arguments and Default Parameters
   • Using Global Variables and Constants
   • Variable Scope
   • References

8. Object-Oriented Python

   • Introduction to Object-Oriented Python
   • Creating Classes, Methods, and Objects
   • Using Constructors and Attributes
   • Using Class Attributes and Static Methods
   • Understanding Object Encapsulation
   • Private Attributes and Methods
   • Controlling Attribute Access
   • Creating and Accessing Properties
   • Combining Objects
   • Using Inheritance to Create New Classes
   • Altering Behavior of Inherited Methods
   • Understanding Polymorphism

9. File Input, Output, and Exceptions

   • The open() Function
   • Input from Text Files
   • Output to Text Files
   • Storing Complex Data in Files with pickle and shelve
   • Handling Exceptions
   • Using try Statement with except Clause

10. Modules

    • Using Modules in Programs
    • Writing Modules
    • Importing Modules
    • Using Imported Functions and Modules

Our Services Include

• Python Online Training
• Python Classroom Training
• Python Corporate Training