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

GETTING STARTED 
  • History & need of Python
  • Application of Python 
  • Advantages of Python
  • Installing Python
  • Program structure 
  • Interactive Shell 
  • Executable or script files
  • User Interface or IDE
PYTHON FUNDAMENTALS 
  • Working with Interactive mode 
  • Python Character Set
  • Keywords, Identifiers,Literals, Operators
  • Variables and Assignments  
  • Input and Output in Python
DATA HANDLING 
  • Data Types
  • Numbers 
  • Strings
  • Lists
  • Tuples 
  • Dictionary 
  • Set
  • Bool
  • Mutable and Immutable
STRING MANIPULATION
  • Introduction to Python String
  • Accessing Individual Elements 
  • String Operators
  • String Slices
  • String Functions and Methods
LIST MANIPULATION 
  • Introduction to Python List
  • Creating List
  • Accessing List
  • Joining List 
  • Replicating List
  • List Slicing
TUPLES 
  • Introduction to Tuple
  • Creating Tuples
  • Accessing Tuples
  • Joining Tuples 
  • Replicating Tuples
  • Tuple Slicing DICTIONARIES 
DICTIONARIES
  • Introduction to Dictionary
  • Accessing values in dictionaries
  • Working with dictionaries
Properties SET AND FROZENSET 
  • Introduction to Set and Frozenset
  • Creating Set and Frozenset
  • Accessing and Joining
Replicating and Slicing OPERATORS
  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • Membership Operators
  • Identity Operators
  • Bitwise Operators 
  • Assignment Operators
  • Operators Precedence 
  • Evaluating Expression
Type Casting PROGRAM CONTROL FLOW 
Conditional Statements
  • The if Statement 
  • The if-else Statement 
  • The if-elif Statement 
  • Nested if Statements
  • Python Indentation
Looping and Iteration
  • The For Loop 
  • The While Loop 
  • Loop else Statement
  • Nested Loops 
Break and Continue
The Range Function 
  • Introduction to range()
  • Types of range() function 
  • Use of range() function
INTRODUCTION TO FUNCTIONS
  • 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.
User Defined Functions 
  • 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
MODULES AND PACKAGES 
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 
FILE OPERATIONS ·
  • Text and Bytes files
  • Opening a file
  • Reading and Writing Files 
  • Other File tools
  • MS Excel files 
  • Introduction to MS Excel files
CLASSES AND OBJECTS 
  • 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
EXCEPTION HANDLING 
  • Default Exception and Error
  • Catching Exceptions
  • Raise an exception 
  • Try.... except statement 
  • Raise, Assert, Finally blocks
  • User defined exception
INTRODUCTION TO OOPS 
  • Procedural Vs Modular Programming
  • The Object Oriented Programming
  • Data Abstraction 
  • Encapsulation 
  • Modularity
  • Inheritance
  • Polymorphism
DATABASE 
  • Introduction to MySQL 
  • Executing queries
  • Transactions 
  • Handling error

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