Call For Inquiry
- Master Frontend Development: Learn HTML, CSS, JavaScript, and React to build interactive and responsive user interfaces.
- Backend Development with Python: Use Django and Flask to create robust and scalable backend systems.
- Database Management: Work with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases for data storage and retrieval.
- Full Stack Integration: Learn to integrate frontend and backend systems to build complete web applications.
- Real-World Projects: Apply your skills to real-world projects in Web Development and Full Stack Applications.
- Certification: Earn a recognized Full Stack Developer Certification upon course completion.
Why Choose Insta InfoTech®?
- Expert trainers with real-world experience in Full Stack Development and Python Programming.
- Hands-on training with practical projects and case studies.
- Flexible learning options (online and offline).
- Placement assistance to help you land roles like Full Stack Developer, Web Developer, and Python Developer.
- Lifetime access to course materials and support.
Who Should Enroll?
- Aspiring Full Stack Developers and Web Developers.
- IT Professionals looking to upskill in Python Full Stack Development.
- Graduates seeking a career in Web Development and Full Stack Applications.
- Anyone interested in mastering Frontend, Backend, and Database Management using Python.
Job Opportunities
Upon completing the Python Full Stack Developer Training, you will be prepared for a variety of high-demand roles, including:
- Full Stack Developer: Build and maintain both frontend and backend systems for web applications.
- Web Developer: Design and develop user-friendly and responsive websites.
- Python Developer: Create backend systems and APIs using Python frameworks like Django and Flask.
- Frontend Developer: Focus on building interactive and visually appealing user interfaces.
- Backend Developer: Develop server-side logic and database management for web applications.
Transform Your Career Today!
Join Insta InfoTech®’s Python Full Stack Developer Training and become a versatile developer. Gain the skills to build complete web applications from scratch and open doors to exciting job opportunities in the IT industry.
- Introduction to Programming Languages
- Introduction to Python
- Working with Python Software
- Python Language Fundamentals
- Different Modes of working with Python
- Basic I/O operations in Python
- Operators and Expressions in Python
- Data Types in Python
- Flow Control Statements (or) Control Structures
- String Handling Operations
- Bytes, ByteArray and Range Data Types
- List Data Structure and Operations
- Tuple Data Structure and Operations
- Set and Frozenset Data Structures or Collection
- Dictionary Data Structures or collection
- Comprehensions (List/Dictionary/Set)
- NoneType Category
- Functions in Python
- Modules in Python
- Packages in python
- Exception Handling in Python
- Regular Expressions (Re Module)
- File or Stream Handling
- Collections module for building applications
- Object Oriented Programming Principles
- OS Module
- Multi Threading
- Python Logging
- Date and Time module
- Garbage Collection
- Python Data Base Communications (PDBC)
- Network / Socket Programming (socket module)
- Tkinter and Turtle
- Basic Introduction to the Numpy
- Creation of Numpy Arrays
- Array attributes & Numpy Data Types
- View vs Copy
- Indexing, Slicing and Advanced Indexing
- How to Iterate Elements of the ndarray.
- Arithmetic Operators
- Broadcasting
- Array Manipulation Functions
- Joining Of Multiple Arrays Into a Single Array
- Splitting of Arrays
- Sorting Elements of ndarrays
- Searching elemenets of ndarray
- How to insert elements into ndarray?
- How to delete elements from ndarray
- Matric multiplication by using dot() function
- Importance of matrix class in numpy library
- Linear algebra functions from linalg module
- I/0 operations with Numpy
- Basic statistics with Numpy
- Numpy mathematical functions
- How to find unique items and count
- Introduction
- Environment Setup
- Introduction to Data Structures
- Series
- DataFrame
- Panel
- Basic Functionality
- Descriptive Statistics
- Function Application
- Reindexing
- Iteration
- Sorting
- Working with Text Data
- Options and Customization
- Indexing and Selecting Data
- Statistical Functions
- Window Functions
- Aggregations
- Missing Data
- GroupBy
- GroupBy
- Merging/Joining
- Concatenation
- Date Functionality
- Timedelta
- Categorical Data
- Visualization
- IO Tools
- Sparse Data
- Caveats & Gotchas
- Comparison with SQL
- Introduction to Matplotlib
- Line Plot- Basics
- Line Plots-Advanced
- How to add grid lines to plot
- Adding Legend
- Customization of Tick Location and Labels
- How to set limit range of values on x-axis and y-axis by using xlim() and ylim() functions
- How to set scale of x-axis and y-axis?
- Plotting Styles
- Functional/Procedural Oriented Vs Object Oriented Approached of plotting
- Bar Chart / Bar Graph / Bar Plot
- Pie Chart
- Histogram
- Scatter Plots
- Subplots
- Plotting Geographic Data with Basemap
- Three-Dimensional(3-D) Plotting in Matplotlib
- Animations
- Web Introduction
- Introduction to HTML
- Introduction to HTML Structure
- Presentational & Formatting Tags
- Title and Html entities
- Attributes
- HTML Images & Anchor Tag
- Working with Lists
- Working with Div tag
- HTML Tables
- HTML Forms
- HTML Form Controls
- Additional from controls
- HTML5 New Semantic / Structural Elements
- Introduction to CSS
- CSS Selectors
- CSS Box model
- Styling Elements
- Advanced Cascading Style Sheets
- Introduction JavaScript
- JavaScript implementations
- Java Script Variables & datatypes
- JavaScript Operators
- Java Script Control Controls
- Arrays
- Functions
- Functional Expressions
- Arrow Functions
- JavaScript Strings
- Working with JS Objects
- JS Constructors
- DOM-Document object
- DOM-Element object
- DOM-Event Handling
- BOM-Window object
- Javascript validations and Regular Expressions
- Bootstrap
- Templates and Static Files
- Views and URLs
- Models and Databases
- Forms and Validation
- Advanced Template Features
- Session Management
- User Authentication and Authorization
- Class Based Views and CRUD Operations by using both CBVs and FBVs
- Django ORM
- Working with Advanced Model Concepts
- Django Rest Framework
- Testing and Debugging
- Caching and Performance Optimization
- Django Forms Advanced Topics
- Django Security
- Django Signals and Asynchronous Tasks
- Django Deployment and Production
- WebSockets and Real-Time Communication
- Project Development and Refinement
- Introduction to Flask
- Building Web Applications with Flask
- Web Forms and User Input
- Databases and Data Storage
- User Authentication and Authorization
- RESTful APIs
- Deployment and Scaling
- Advanced Topics
- MySQL
- MongoDB

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