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Python Training in Chennai

Python Training in Chennai offered by Greens Technologys with 100% hands-on practical classes. Our Python Training primarily focuses in getting placement for all. We crafted our course syllabus which gives basic to advanced level of expertise on Python training at end of course. Our Python training syllabus will be enough to appear for certification and interviews confidently. We are more than 100+ trainers working in MNC’s with 7-18+ years of experience on Python technologies. Our Python trainers will help you to build your resume and share their project exposures. By doing Python training in Chennai with Greens Technologys anyone can become expert if they passionately learn this technology in short time.

The primary factors of the python are: Software quality and developer productivity.

Software quality: Python programs and readable, reusable and maintainable. The reusable is being achieved through object orient programming (OOP) which is one of the software reuse mechanisms.

Developer Productivity: Less to type, compared to compiled or statically typed languages such as C, C++, Java.

Most python programs run unchanged on all major computer platforms. As well it comes with large collection of pre-built libraries which supports variety of application level programming tasks from pattern matching to network scripting.

Python can be easily integrate with other parts of application using integrate mechanisms. Now a day Python code can invoke C and C++ libraries as well get called from C and C++ programs using Cpython integrate mechanism. It can integrate with Java and .NET programs using Jython and IronPython respectively. It also capable of communicate with serial ports, can interacts overs network with interfaces.

Python is general purpose programming language. It often uses for scripting roles thus it also called as object oriented scripting language. Python is useful for accomplishing real world tasks as it’s used in variety of domains like system programming, GUI , Internet scripting, component integration, database programming, numeric and scientific programming, gaming, images, serial ports, XML, Robots and more.

Python is dynamically typed language as it does not need variable declaration. At any time you can dynamically change one data type to another data type. As in python everything is object, every operation seems to be easier than other scripting languages. It has powerful memory management to reuse garbage collections.

Python supports different types of objects like numbers, string, tuples, list, dictionary to store data and do operations on stored data. It has common methods and operations on sequence objects (list, string, tuples) like indexing, slicing, extended slicing.

Python codes can be shipped or placed on the web more securely as it execution involves Python Virtual Machine (PVM) and byte code compilation which is platform independent

The following are the course details to be covered in Python Training. At the end of each topic real time exercises will be given to test your knowledge.

Course Name Python
Category Scripting Language
Venue Greens Technologies
Official URL Python Scripting Training
Demo Classes At Your Convenience
Training Methodology 10% Theory & 90% Practical
Course Duration 30-40 Hours
Class Availability Weekdays & Weekends
For Demo Class Email ID - contact@greenstechnologys.com

Python Course Syllabus

Introduction

  • Why do we need Python?
  • Program structure

Execution steps

  • Interactive Shell
  • Executable or script files
  • User Interface or IDE

Memory management and Garbage collections

  • Object creation and deletion
  • Object properties

Data Types and Operations

  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Other Core Types

Statements and Syntax

  • Assignments, Expressions and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Iterations and Comprehensions

File Operations

  • Opening a file
  • Using Files
  • Other File tools

Functions

  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions

Modules and Packages

  • Module Creations and Usage
  • Module Search Path
  • Module Vs. Script
  • Package Creation and Importing

Classes

  • Classes and instances
  • Classes method calls
  • Inheritance and Compositions
  • Static and Class Methods
  • Bound and Unbound Methods
  • Operator Overloading
  • Polymorphism

Exception Handling

  • Default Exception Handler
  • Catching Exceptions
  • Raise an exception
  • User defined exception

Advanced Concepts

  • Decorators
  • Generators
  • Iterators
  • Co-routines

Standard Library Modules

References

Exercises

Roadmap with Python

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