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Python Course Syllabus

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Our Python Syllabus is thoughtfully designed to prepare students for successful careers in MNCs. Through our structured curriculum, students acquire the essential applicable skills across diverse fields like Data Science, Web Development, Software Testing, Software Development, etc. Our Python Course Syllabus covers diverse topics, including data types, variables, functions, and a variety of libraries and frameworks. In the ever-changing world of Python development, our Python Course Syllabus offers vital knowledge and practical experience to help you thrive. Seize this opportunity to advance your career and achieve greater success in the software industry by enrolling in our Python Training Institute in Chennai.

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Breakdown of Python Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
June 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

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Syllabus for The Python Course

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Course Syllabus

1

  • What is Python?
  • Comparison of Python with other languages like C/C++, Java etc
  • Execution model of Python
  • Salient features of Python
  • How Python runs Programs?
  • Areas where Python is in use
  • Industries that are using Python
Introduction

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9

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

10

  • Iterating over dictionaries
  • Accessing non existing keys
  • Copy dictionaries
  • Lists from dictionaries
Input and Output

11

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

12

  • Reading from the file
  • Writing to the file
  • Methods of file objects
Error and Exceptions

13

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

14

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

15

  • Multiple Inheritance
Data Encapsulation

16

  • Public
  • Private
  • Protected
Module

17

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

18

  • 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
Packages

19

  • Importing * from a Package
  • Intra Package Reference

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