Call For Inquiry
- 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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