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Curriculum & Projects

  • Installing Python in Windows/Linux/Mac OS
  • Using Python interpreter
  • Execute a Script
  • Structuring with Indentation
  • Editors

  • Variables
  • Variables v/s identifiers
  • Naming convention of variables
  • Keywords

  • Single-quote, double quote and multi-line strings
  • String Operations ( Concatenation, Repetition, Indexing, Slicing, Splitting and joining )

  • If/Else Statements
  • For/while Statements
  • Range() function
  • Break and continue statements
  • Else clauses on Loops
  • Pass statements

  • Defining Function
  • Default Argument
  • Keyword Argument
  • Arbitrary Arguments List
  • Unpacking Argument List
  • Documentation Strings

  • Indexing
  • Slicing
  • Sorting
  • List Comprehensions
  • Appending to the list
  • Extending the list
  • Repetitions

  • Immutable objects
  • Indexing
  • Slicing
  • Sorting
  • Tuple Comprehensions

  • Immutable objects
  • Add, Clear, Copy Sets
  • Difference
  • Intersection

  • Iterating over dictionaries
  • Accessing non existing keys
  • Copy dictionaries
  • Lists from dictionaries

  • Input function
  • Input with raw_input()
  • Output with old string format
  • Python format function

  • Reading from the file
  • Writing to the file
  • Methods of file objects

  • Syntax Errors
  • Exceptions
  • Handling Exceptions (try, except)
  • Raising Exceptions (raise)
  • Clean-up Actions (try… finally)
  • Else Clause
  • Assert statements

  • Class Syntax
  • Class Objects
  • Instance Objects
  • Method Objects
  • Class and Instance Variables

  • Multiple Inheritance

  • Public
  • Private
  • Protected

  • Creating Modules
  • Import a module
  • Import the names
  • Executing modules as scripts

  • sys module – access to exit(), stdout, sdin, argv…
  • Re module for regular expressions
  • sys – file system, operating system interface.
  • math – math functions
  • datetime – date and time libraries
  • dir() function

  • Importing * from a Package
  • Intra Package Reference

  • Overview of NumPy

  • Overview of Pandas

  • Overview of Matplotlib

  • Overview of Tkinter

  • Overview of Python CURD

  • Project Work

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Course Track Plan

Course Track Course Duration Course Hours Training Mode
Week Days 60-80 Days 1.5 Hrs. Per Day Classroom/Online
Weekends 18 Wekkends 2 Hrs. Per Day Classroom/Online
Fast Track 45 Days 3+ Hrs. Per Day Classroom/Online

Program Core Credentials

Trainer Profiles

Industry Experts

Trained Student

10000+

Sucess Ratio

100%

Corporate Training

All Over India

Job Assistance

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