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Python Course – Master Python Basics to Advanced Programming

Unlock the power of programming with Insta InfoTech®’s Python Training, a comprehensive program designed to help you master Python Basics and Advanced Python Programming. Whether you're a beginner or an experienced coder, this course covers everything from fundamental concepts like Data Types, Loops, and Functions to advanced topics like Object-Oriented Programming (OOP), Data Structures, File Handling, and Python Libraries. Gain hands-on experience with real-world projects and prepare for high-demand roles like Python Developer, Data Scientist, and Automation Engineer. Earn a recognized Python Certification and elevate your career in the IT industry.

Python Course – Master Python Basics to Advanced Programming
  • Python Basics: Understand core concepts like Variables, Operators, Control Flow, and Functions.
  • Advanced Topics: Master OOP, Data Structures, File Handling, and Error Handling.
  • Python Libraries: Learn to use NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for data visualization.
  • Web Development: Get introduced to Flask and Django for building web applications.
  • Automation & Scripting: Automate tasks using Python scripts and libraries.
  • Real-World Applications: Work on projects in Data Science, Web Development, and Automation.
  • Certification: Receive a recognized Python Certification to validate your expertise.
  • Master Python Basics: Learn Python Syntax, Data Types, Loops, Conditionals, and Functions to build a strong foundation.
  • Advanced Python Programming: Dive into Object-Oriented Programming (OOP), Data Structures, File Handling, and Exception Handling.
  • Python Libraries: Explore popular libraries like NumPy, Pandas, Matplotlib, and SciPy for data analysis and visualization.
  • Real-World Projects: Apply your skills to real-world projects in Web Development, Data Science, and Automation.
  • Certification: Earn a recognized Python Certification upon course completion.
Why Choose Insta InfoTech®?
  • Expert trainers with real-world experience in Python Programming and Data Science.
  • Hands-on training with practical projects and case studies.
  • Flexible learning options (online and offline).
  • Placement assistance to help you land roles like Python Developer, Data Scientist, and Automation Engineer.
  • Lifetime access to course materials and support.
Who Should Enroll?
  • Aspiring Python Developers and Data Scientists.
  • IT Professionals looking to upskill in Python Programming.
  • Graduates seeking a career in Data Science, Web Development, or Automation.
  • Anyone interested in mastering Python Basics and Advanced Python Programming.
Transform Your Career Today!

Join Insta InfoTech®’s Python Training and become a skilled Python programmer. Gain the expertise to build applications, analyze data, and automate tasks, and open doors to high-demand roles in the IT industry.

Introduction to Python
  • History & Need of Python
  • Application of Python
  • Advantage of Python
  • Why Python for Data Science?
  • Different Job Roles with Python
  • Installing Python
Python Fundamentals
  • Python Character Set
  • Python Tokens
    • Keywords
    • Identifiers
    • Literals
    • Operators
    • Variables and Assignments
    • Comment in Python
    • Block and Indentation
    • Input and Output Operation in Python
Data Types
  • Data Types in Python
    • Numbers
    • Float
    • Strings
    • List
    • Tuple
    • Set
    • Dictionary
    • Bool
  • Type Casting in Python
Operators
  • Define Operators
  • Different Types of Operators
    • Arithmetic Operators
    • Relational Operators
    • Logical Or Conditional Operators
    • Assignment Operators
Conditional / Selection Statement
  • Define Conditional Statement
  • Types of Conditional Statements
    • If Statement
    • If Else Statement
    • If Elif Else Statement
    • Nested If Statement
    • Match Case Statement
Iteration/Looping Statement
  • Define Loop
  • Define Range Function
  • Different Types of Loop Construct
    • for Loop
    • while Loop
    • while True Loop
    • Jump Statement
Strings
  • Introduction to Python Strings
  • Accessing Strings Elements
  • f string in Python
  • String Indexing
  • String Slices
  • String Functions and Methods
List
  • Introduction to Python List
  • Creating List
  • Properties of List
  • List Indexing
  • List Slicing
  • List Methods
Set
  • Introduction to Python Set
  • Creating Set
  • Properties of Set
  • Set Operations and Methods
Tuple
  • Introduction to Python Tuple
  • Creating Tuple
  • Properties of Tuple
  • Tuple Indexing
  • Tuple Slicing
  • Tuple Methods
Dictionary
  • Introduction to Python Dictionary
  • Creating Dictionary
  • Properties of Dictionary
  • Dictionary Key and Values
  • Accessing Values in Dictionary
  • Dictionary Methods
Exception Handling
  • Define Exception in Exception Handling
  • Define Syntax Error
  • Define Logical Error
  • Handling Errors using try, except and finally
Project

Methods or Functions
  • Define Function & its Type
  • System Define Function
  • User Define Function
  • Type of User Define Function
    • With Return type with Argument
    • With Return type without Argument
    • Without Return type with Argument
    • Without Return type without Argument
Introduction to OOPs Concept
  • What is OOPs Concept?
  • Advantages of OOPs.
  • Access Specifiers/Modifiers
    • Public
    • Private
    • Protected
  • Features of OOPs.
Class & Objects
  • Define Class and Object
  • How to create Class & Object?
  • Program to Define Class & Object
Constructor
  • Define Constructor
  • How to create Constructor?
  • Program to Define Constructor
  • Types of Constructors
    • Default Constructor
    • Parameterized Constructor
Encapsulation & Abstraction
  • Define Encapsulation
  • Properties of Encapsulation
  • Define Getter and Setter Method
  • Program to Define Encapsulation
  • Define Abstraction
  • Program to Define Abstraction
Polymorphism
  • Define Polymorphism
  • Types of Polymorphism
  • 1. Static Polymorphism (Compile Time)
    • Function Overloading
    • Program to define Function Overloading
  • 2. Dynamic Polymorphism (Run Time)
    • Function Overriding
    • Program to Define Function Overriding
    • Super Function
Inheritance
  • Define Inheritance
  • Types of Inheritance
    • Single Level Inheritance
    • Multi-Level Inheritance
    • Multiple Inheritance
    • Hierarchical Inheritance
    • Hybrid Inheritance
File Handling
  • Introduction to Data files
  • Define File Handling Modes
  • Create File in Python
  • Open and Close File in Python
  • Reading and Writing File in Python
  • Delete File in Python
Project

MY SQL
  • Introduction To My SQL
  • Purpose Of DBMS
  • Relational Database Model
  • The Relational Model Terminology
    • Views
    • Structure Of Relational Database
  • Brief History of MySQL
MY SQL
  • MySQL Database System
  • Starting MySQL
  • MySQL And SQL
  • Processing Capabilities Of SQL
  • Data Definitional Language
  • Classification Of SQL Statement
  • SQL Command Syntax
MY SQL
  • Table Creation and Data Manipulation Commands
  • Introduction
  • Databases In MySQL
  • Creating Database
  • Opening Database
  • Removing Database
  • Creating Table
  • Data Integrity Through Constraints
  • Changing Data with DML Commands
  • Inserting Data into Table
  • Modifying Data with Update Command
  • Deleting Data with Delete Commands
  • More DDL Commands
  • Alter Table Command
  • The Drop Table Command
  • Group, View, Join in MySQL
PYTHON GUI (GRAPHICAL USER INTERFACE)PROGRAMMING
  • Introduction To GUI Programming & It’s Importance
  • GUI In Python – Widgets & Install & Setup Tkinter
  • Tkinter Module- Import the Tkinter Module, Create GUI Main Application Window
    • Geometry
    • Title
    • Iconimage(Logo)
  • Tkinter Programming- Add One Or More of The Above-Mentioned Widgets To The GUI Application Window, Call The Main Event Loop
  • Python Tkinter Widgets
    • Entry, Label, Button, Canvas
    • Their Options
  • Python Tkinter Geometry
    • Pack (), Grid (), Place ()
    • There Option
PYTHON GUI (GRAPHIC USER INTERFACE)PROGRAMMING
  • Python Tkinter Widgets
    • Frame, Listbox,
    • Menu
    • Message, Scale,
    • Scrollbar, Text
    • Toplevel, Spinbox,
    • Panedwindow, Labelframe
    • Tkmessagebox, Tree
  • Their Options
DATABASES IN PYTHON & ITS CONNECTIVITY
  • Python MySQL Database Access
  • Install The MySQL Db and Other Packages & Communicating with MySQL
  • Python Data Base Communications (PDBC)
    • Create Database Connection & Create, Insert, Read Operation
    • Connector Module, Connect () Method
    • Cursor Object Methods, Execute () Method
  • Static Queries V/S Dynamic Queries, Transaction Management
  • Python Data Base Communications (PDBC)
    • Fetchone(), Fetchmany(), Fetchall(), Static Queries V/S Dynamic Queries
  • Login With Database Creation in MySQL
  • Implement Configure Logging File
  • Executing System
    • Insert & Update
    • Delete & Select Commands
  • Python Network Programming Connecting
    • To a One Page to Second Page in Local Server
  • Python Multithreaded Programming Create Single Page
  • Thon Multithreaded Programming Create Single Page/Thread or Connect with Multipage or Thread by Tkinter Operations
  • Garbage Collection – Remove Data from GUI Application to My SQL Databases
  • Start Real Time Project (Library / Institute Management)

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