Python Training in Gulbarga

Python Training in Gulbarga

Job Oriented Courses

Python is one of the most used programmings Language in the world, Python’s reach, and market Penetration Increased when Google adopted it as its primary Language for its Development.
It is a popular high-level, open source Programming language with a wide range of applications in data analytics, web applications, data science, big data, development of games, and automation and companies like Google, Facebook, Amazon, YouTube, NASA, Reddit, Quora, and Mozilla use Python for development.
We offer a comprehensive Python course training that will help you master fundamentals, and advanced theoretical concepts like writing scripts, sequence, and file operations in Python while getting hands-on practical experience.

Career Opportunity in Python

Python is a flexible, powerful object-oriented, and interpreted language and it is considered to be the only programming language with the highest number of job Opportunities in the IT space. It is also preferred by young and experienced developers and is also a highly paid skill among all the programming languages.

Why Learn Python Course from us

What are the Topics Covered in This Course?


  • Why do we need Python?
  • Program structure
  • Execution steps
  • Interactive Shell
  • Executable or script files
  • User Interface or IDE
  • Python Keywords and Identifiers
  • Python statements
  • Python Indentation
  • Comments in python
  • Command line arguments
  • Getting user input
  • Python Identifiers
  • Various Operators and Operators' Precedence
  • Reserved Words, Lines, and Indentation
  • Multi-Line Statements, Quotation in Python
  • Comments in Python, Using Blank Lines
  • Command Line Arguments
  • Python Input/Output: Using the Print Function
  • Getting Input from the User
  • Python Basic Data Types And Variables
  • Introduction
  • Variables
  • Data types
  • Numbers
  • Strings
  • Lists, tuples & Dictionary
  • Introduction
  • Control Flow and Syntax
  • Python Operators
  • The while Loop
  • Break and continue
  • The for Loop
  • Introduction
  • Calling a function
  • Function arguments
  • Built-in functions
  • Scope of variables
  • Decorators
  • Passing Functions to a Function
  • Lambda
  • Closures
  • Modules
  • Importing module
  • Standard Module - sys
  • Standard Module - OS
  • The dir Function
  • Introduction
  • Writing Data to a File
  • Reading Data from a File
  • Additional File Methods
  • Working with files
  • Working with Directories
  • The pickle Module
  • Understanding Iterators
  • Using iter And next
  • Iterators And Dictionaries
  • Other Iterators
  • Introduction To Functions – Why
  • Defining Functions
  • Calling Functions
  • Functions With Multiple Arguments
  • Predicate Functions, Recursive Functions
  • Function Objects, Generators, Decorators
  • Anonymous Functions, Higher-Order Functions
  • Scope, Global Scope, Local Scope, Nested Scope
  • Printing to the Screen
  • Reading Keyboard Input
  • Opening and Closing Files
  • Open Function, file Object Attribute
  • Close() Method, Read, write, seek
  • Rename, remove
  • Introduction classes and objects
  • Creating Classes
  • Instance Methods
  • Special class method
  • Inheritance
  • Method overriding
  • Data hiding
  • Introduction
  • Match function
  • Search function
  • Grouping
  • Matching at the Beginning or End
  • Match Objects
  • Exception Handling, Assertions: The assert Statement
  • What is Exception, Handling an exception
  • The except Clause with No Exceptions, the try-finally Clause
  • The argument of an Exception, Raising an Exception
  • Logging — Logging facility for Python
  • Logger Objects, Logging Levels
  • Creating Log files
  • Python debugger- pdb
  • Overview of Threading model
  • Properties of Threads
  • Creating Thread Using Threading Module
  • Using queue with threads


akash tonasalli

Frequently Asked Questions(FAQ)