PYTHON

Learn how to use Data Science with Python from beginner level to advanced techniques which are taught by experienced working professionals. With our Data Science with Python Training in Chennai, you'll learn concepts at an expert level in a practical manner. Get enrolled for the most demanding skill in the world.

PYTHON  Exams & Certification

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SYLLABUS

  • History & need of Python
  • Application of Python 
  • Advantages of Python
  • Installing Python
  • Program structure 
  • Interactive Shell 
  • Executable or script files
  • User Interface or IDE
  • Working with Interactive mode 
  • Python Character Set
  • Keywords, Identifiers,Literals, Operators
  • Variables and Assignments  
  • Input and Output in Python
  • Data Types
  • Numbers 
  • Strings
  • Lists
  • Tuples 
  • Dictionary 
  • Set
  • Bool
  • Mutable and Immutable
  • Introduction to Python String
  • Accessing Individual Elements 
  • String Operators
  • String Slices
  • String Functions and Methods
  • Introduction to Python List
  • Creating List
  • Accessing List
  • Joining List 
  • Replicating List
  • List Slicing
  • Introduction to Tuple
  • Creating Tuples
  • Accessing Tuples
  • Joining Tuples 
  • Replicating Tuples
  • Tuple Slicing DICTIONARIES 
  • Introduction to Dictionary
  • Accessing values in dictionaries
  • Working with dictionaries
  • Introduction to Set and Frozenset
  • Creating Set and Frozenset
  • Accessing and Joining
  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • Membership Operators
  • Identity Operators
  • Bitwise Operators 
  • Assignment Operators
  • Operators Precedence 
  • Evaluating Expression

Conditional Statements

  • The if Statement 
  • The if-else Statement 
  • The if-elif Statement 
  • Nested if Statements
  • Python Indentation
  • The For Loop 
  • The While Loop 
  • Loop else Statement
  • Nested Loops 

The Range Function 

  • Introduction to range()
  • Types of range() function 
  • Use of range() function
  • Built-In Functions 
  • Introduction to Functions
  • Using a Functions 
  • Python Function Types 
  • Structure of Python Functions
  • E.g. - map, zip, reduce, filter, any, chr, ord, sorted, globals, locals, all, etc.
  • Types of Functions 
  • Invoking UDF 
  • Flow of Execution
  • Arguments and Parameters
  • Default Arguments
  • Named Arguments 
  • Scope of Variables
  • Lambda function
  • Recursion Function 
  • Use of recursion function

Built-in Modules 

  • Importing Modules in Python Programs 
  • Working with Random Modules
  • E.g. - builtins, os, time, datetime, calendar, sys, etc.
  • User Defined Functions
  • Structure of Python Modules 
  • Text and Bytes files
  • Opening a file
  • Reading and Writing Files 
  • Other File tools
  • MS Excel files 
  • Introduction to MS Excel files
  • Classes as User Defined Data Type
  • Objects as Instances of Classes 
  • Creating Class and Objects 
  • Creating Objects By Passing Values
  • Variables & Methods in a Class
  • Default Exception and Error
  • Catching Exceptions
  • Raise an exception 
  • Try.... except statement 
  • Raise, Assert, Finally blocks
  • User defined exception
  • Procedural Vs Modular Programming
  • The Object Oriented Programming
  • Data Abstraction 
  • Encapsulation 
  • Modularity
  • Inheritance
  • Polymorphism
  • Introduction to MySQL 
  • Executing queries
  • Transactions 
  • Handling error

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