Python Training In Chennai

TwinTech offers python training in Chennai by python experts, with more than 8 years of experience in UI development. We offer professional training through world class interactive system. We offer practical oriented training that assist students to gain hands-on experience.TwinTech Solutions is the best institute for Python with complete hands on training. Python is a and high-level programming language and it’s also called as scripting language where hackers also will use in advance techniques for scripting the exploits. We do provide both online and classroom training as per the student’s flexible timings. The classroom training will be in our Chennai premises.

TwinTech Solutions has 10 + years experienced professional trainers to train students in python. We give 100 % assurance that at the end of training you have very good knowledge in developing your own application. TwinTech Solutions also helps students to get into the job once they complete the training.

Python is powerfully written dialect so every activity should be possible on the fly. Python codes can be sent or put on the web all the more safely as it execution includes Python® Virtual Machine ( PVM ) and byte code accumulation which is stage autonomous.Python aims for simpler, less cluttered and grammar while giving developers a choice in their methodology. Python is an easy learning and readable language which has become too familiar in this stage. Once you learn python you can use it for developing GUI applications, websites and web applications. One can use python to create custom applications without writing additional code. python training in chennai

Python® can convey to different parts of the application utilizing assortment of segment incorporation. For an illustration utilizing Cpython segment, python can call C/C++ libraries and can be called from C/C++ programs. It will likewise have bolster for getting to java objects, .NET questions through Jython, IronPython individually.python training in chennai
As in python everything is protest, each task is by all accounts more less demanding than other scripting dialects. Python® codes are equivalent to 33% and one fifth of C/C++ and Java programs in term of number of lines. It has intense memory administration to reuse waste accumulations.python training in chennai

Python bolsters diverse sorts of articles like numbers, string, tuples, list, lexicon to store information and do tasks on put away information. It has normal strategies and activities on succession objects ( list, string, tuples ) like ordering, cutting, expanded cutting.

Why Python Training at TwinTech Solutions? python training in chennai

We are the best Python preparing establishment in Chennai where the preparation’s in python are furnished with ongoing illustration. Our Python Course in Chennai Syllabus is composed agreeing the requirements of corporate customer which will most likely help you to clear the meetings effectively .Our Python Training in Chennai bundle likewise incorporates work position help, which is extremely a reward point for understudies.python training in chennai

Python Course Syllabus python training in chennai

 

SECTION 1: INTRODUCTION

 

  • What’s python?
  • Why do people use python?
  • Some quotable quotes
  • A python history lesson
  • Advocacy news
  • What’s python good for?
  • What’s python not good for?
  • The compulsory features list
  • Python portability
  • On apples and oranges
  • Summary: why python?

 

SECTION 2: USING THE INTERPRETER AND TEXT EDITOR

 

  • Introduction to Sublime & Pycharm
  • Config Pycharm for Python Project
  • How Python Runs Programs
  • How You Run Programs
  • Configuration Details
  • Module Files: A First Look
  • The Idle Interface
  • Other Python Ides
  • Time To Start Coding
  • Lab Session 1

 

SECTION 3: TYPES AND OPERATORS

 

  • A First Pass
  • The ‘Big Picture’
  • Numbers
  • Dynamic Typing Interlude
  • Strings
  • Lists
  • Dictionaries
  • Tuples
  • General Object Properties
  • Mutable vs Immutable
  • Summary: Python’s Type Hierarchies
  • Built-In Type Gotchas
  • Lab Session 2

 

SECTION 4: BASIC STATEMENTS

 

  • Introduction to Reserved Keywords
  • General Syntax Concepts
  • Expressions
  • Print
  • If Selections
  • Python Syntax Rules
  • Documentation Sources Interlude
  • Truth Tests
  • While Loops
  • Break, Continue, Pass, And The Loop Else
  • For Loops
  • Comprehensions And Iterations
  • Loop Coding Techniques
  • Comprehensive Loop Examples
  • Basic Coding Gotchas
  • Preview: Program Unit Statements
  • Lab Session 3

 

SECTION 5: FUNCTIONS

 

  • Function Basics
  • Scope Rules In Functions
  • More On “Global” (And “Nonlocal”)
  • More On “Return”
  • More On Argument Passing
  • Special Argument Matching Modes
  • Odds And Ends
  • Generator Expressions And Functions
  • Function Design Concepts
  • Functions Are Objects: Indirect Calls
  • Function Gotchas
  • Optional Case Study: Set Functions
  • Lab Session 4

 

SECTION 6: MODULES

 

  • Module Basics
  • Module Files Are A Namespace
  • Name Qualification
  • Import Variants
  • Reloading Modules
  • Package Imports
  • Odds And Ends
  • Module Design Concepts
  • Modules Are Objects: Metaprograms
  • Module Gotchas
  • Optional Case Study: A Shared Stack Module
  • Lab Session 5

 

SECTION 7: GETTING STARED WITH DOCKER

 

  • Oop: The Big Picture
  • Class Basics
  • A More Realistic Example
  • Using The Class Statement
  • Using Class Methods
  • Customization Via Inheritance
  • Specializing Inherited Methods
  • Operator Overloading In Classes
  • Namespace Rules: The Whole Story
  • Oop Examples: Inheritance And Composition
  • Classes And Methods Are Objects
  • Odds And Ends
  • New Style Classes
  • Class Gotchas
  • Optional Case Study: A Set Class
  • Summary: Oop In Python
  • Lab Session 6

 

SECTION 8: EXCEPTIONS

 

  • Exception Basics
  • First Examples
  • Exception Idioms
  • Exception Catching Modes
  • Class Exceptions
  • Exception Gotchas
  • Lab Session 7

 

SECTION 9: BUILT-IN TOOLS OVERVIEW

 

  • The Secret Handshake
  • Debugging Options
  • Inspecting Name-Spaces
  • Dynamic Coding Tools
  • Timing And Profiling Python Programs
  • File Types And Packaging Options
  • Development Tools For Larger Projects
  • Summary: Python Tool-Set Layers
  • Lab Session 7 Continued

 

SECTION 10: SYSTEM INTERFACES

 

  • System Modules Overview
  • Running Shell Commands
  • Arguments, Streams, Shell Variables
  • File Tools
  • Directory Tools
  • Forking Processes
  • Thread Modules And Queues
  • The Subprocess And Multiprocessing Modules
  • Ipc Tools: Pipes, Sockets, Signals
  • Fork Versis Spawnv
  • Larger Examples
  • Lab Session 8

 

SECTION 11 : GUI PROGRAMMING

 

  • Python Gui Options
  • Introduction of Tkinter
  • The Tkinter ‘Hello World’ Program
  • Adding Buttons, Frames, And Callbacks
  • Getting Input From A User
  • Assorted Tkinter Details
  • Building Guis By Subclassing Frames
  • Reusing Guis By Subclassing And Attaching
  • Advanced Widgets: Images, Grids, And More
  • Designing UI using QT4 Designer
  • Introduction to PySide2
  • Converting UI into Application Using PySide
  • Larger Examples
  • Tkinter Odds And Ends
  • Lab Session 8 Continued

 

SECTION 12: DATABASES AND PERSISTENCE

 

  • Databases and Persistence
  • Object Persistence: Shelves
  • Storing Class Instances
  • Pickling Objects Without Shelves
  • Using Simple Dbm Files
  • Shelve Gotchas
  • Zodb Object-Oriented Database
  • Python Sql Database Api
  • Persistence Odds And Ends
  • Lab Session 9

 

SECTION 13: TEXT PROCESSING

 

  • String Objects: Review
  • Splitting And Joining Strings
  • Regular Expressions
  • Parsing Languages
  • Regular Expressions
  • Lab Session 10

 

SECTION 14: INTERNET SCRIPTING

 

  • Using Sockets In Python
  • The Ftp Module
  • Email Processing
  • Other Client-Side Tools
  • Building Web Sites With Python
  • Writing Server-Side Cgi Scripts
  • Jython: Python For Java Systems
  • Active Scripting And Com
  • Other Internet-Related Tools
  • Lab Session 10

 

SECTION 15: ADVANCED TOPICS

 

  • Unicode Text And Binary Data
  • Managed Attributes
  • Decorators
  • Metaclasses
  • Context Managers
  • Python 3.X Changes
  • Lab Session 13

 

LABORATORY EXERCISES

 

  • Lab 1: Using The Interpreter
  • Lab 2: Types And Operators
  • Lab 3: Basic Statements
  • Lab 4: Functions
  • Lab 5: Modules
  • Lab 6: Classes
  • Lab 7: Exceptions And Built-In Tools
  • Lab 8: System Interfaces And Guis
  • Lab 9: Persistence
  • Lab 10: Text Processing And The Internet
  • Lab 11: Decorators And Metaclasses

JOB OPPORTUNITIES

o   Career opportunities for python is becoming higher nowadays.

o   Since python has faster code readability and brevity python developers are very much needed for best designs with less coding lines.

o   As we know python developers are used in development, web designing and app development, python also has an very good offer such as dynamic type system and automatic memory management which will be helpful for the developers to support multiple programming paradigms. These things are very much useful for present IT industry to get the faster and latest design.

o   New entry of python candidate will gain more importance than other programming languages.

o   After completing the course freshers can apply for software engineer, front end developer, python developer/programmer and Devops engineer.

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We offer Live Online Virtual Instructor Led Training (VILT) which is a virtual classroom. All you need is a computer and internet and you can be a part of a highly interactive live virtual Python class. The Python classes timings are scheduled to your liking, and these are led by highly experienced and professional instructors who are certified in Python field of expertise.hacking , ethical hacking course

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