Full Stack Python Developer Training
Learn to create complete web applications with Python, Django, Flask, REST APIs, frontend technologies and databases.
Build Complete Web Applications with Python
Full Stack Python development combines frontend interfaces, backend logic, database operations and deployment concepts to create functional web applications.
At Naresh i Technologies, JNTU, Hyderabad, the Full Stack Python training curriculum introduces learners to Core Python, advanced programming, HTML, CSS, JavaScript, Django, Flask and database integration.
Students progress from Python fundamentals and object-oriented programming to web development, API design and application architecture.
The course is relevant to graduates, beginners, software professionals and aspiring Python web developers.
From Python Fundamentals to Modern Web Development
Python is widely used for backend development because of its readable syntax and extensive framework ecosystem. Building complete web applications also requires an understanding of frontend design, databases, APIs and software development workflows.
This course introduces frontend technologies including HTML, CSS, JavaScript and Angular alongside Django and Flask. Learners explore how MySQL and MongoDB support data storage and how REST APIs connect different application layers.
Supporting topics include Git, AWS fundamentals, Docker and Kubernetes, offering an introduction to modern development and deployment concepts.
Inside a Full Stack Python Application
Discover how frontend interfaces, Python backend services, databases and deployment tools work together to deliver modern web applications.
Frontend Interface
HTML, CSS, JavaScript and Angular create interactive user interfaces.
Python Backend
Django, Flask and REST APIs handle application logic and responses.
Database Layer
MySQL and MongoDB store and retrieve application information.
Deployment & Tools
Git, Docker, Kubernetes and cloud services support deployment workflows.
# Django API example from django.http import JsonResponse def students(request): data = { "course": "Python" } return JsonResponse(data)
Skills You Will Develop
Core & Advanced Python
Learn programming, functions, OOP, modules and exception handling.
Web Technologies
Explore HTML, CSS, JavaScript and Angular development.
Django & Flask
Understand Python web frameworks, views and application logic.
REST APIs
Explore RESTful services, authentication and API integration.
MySQL & MongoDB
Study data storage, database operations and integration.
Git, Docker & Cloud
Explore version control, containers and cloud concepts.
Getting Started with Full Stack Python
Basic knowledge of programming concepts is helpful. Familiarity with HTML, CSS and JavaScript can support frontend learning, while database fundamentals can be useful for backend modules.
- Basic computer knowledge.
- Interest in software and web development.
- Introductory Python skills are helpful.
- Basic HTML, CSS or JavaScript knowledge is beneficial.
- Database knowledge is useful but not mandatory.
- Regular coding practice is recommended.
Full Stack Python Developer Course Syllabus
Explore the 13 course subject modules, followed by an optional integrated-learning overview. Click each module to read the topics.
01 / Core Python
Python Fundamentals
- Introduction to Programming Languages
- Introduction to Python
- Working with Python Software
- Python Language Fundamentals
- Different Modes of Working with Python
- Basic Input and Output Operations
- Operators and Expressions
- Data Types
- Flow Control Statements
- String Handling Operations
Collections and Functions
- Bytes, ByteArray and Range
- List Data Structure and Operations
- Tuple Data Structure
- Set and Frozenset
- Dictionary Data Structures
- List, Dictionary and Set Comprehensions
- NoneType
- Python Functions
- Modules and Packages
File Handling and Utility Modules
- Exception Handling
- Regular Expressions
- File and Stream Handling
- Collections Module
02 / Advanced Python
Advanced Programming Concepts
- Object-Oriented Programming Principles
- OS Module
- Multithreading
- Python Logging
- Date and Time Module
- Garbage Collection
- Python Database Communication (PDBC)
- Network and Socket Programming
- Tkinter and Turtle
03 / NumPy
Array Fundamentals
- Introduction to NumPy
- Creating NumPy Arrays
- Array Attributes and Data Types
- View vs Copy
- Indexing, Slicing and Advanced Indexing
- Iterating Through Arrays
- Arithmetic Operations
- Broadcasting
Array Operations
- Array Manipulation Functions
- Joining and Splitting Arrays
- Sorting and Searching Elements
- Inserting and Deleting Elements
- Matrix Multiplication Using dot()
- Matrix Class
- Linear Algebra Functions
- NumPy I/O Operations
- Basic Statistics
- Mathematical Functions
- Finding Unique Values and Counts
04 / Pandas
Pandas Fundamentals
- Introduction and Environment Setup
- Pandas Data Structures
- Series and DataFrames
- Panel Concepts
- Basic Functionality
- Descriptive Statistics
- Function Application
- Reindexing
- Iteration and Sorting
- Working with Text Data
- Options and Customization
Data Manipulation
- Indexing and Selecting Data
- Statistical Functions
- Window Functions
- Aggregations
- Missing Data
- GroupBy Operations
- Merging and Joining
- Concatenation
- Date Functionality
- Timedelta
- Categorical Data
- Visualization
- I/O Tools
- Sparse Data
- Common Caveats and Gotchas
- Comparison with SQL
05 / Matplotlib
Plotting and Visualization
- Introduction to Matplotlib
- Basic and Advanced Line Plots
- Adding Grid Lines and Legends
- Customizing Tick Locations and Labels
- Setting X and Y Axis Limits
- Axis Scaling
- Plotting Styles
- Procedural vs Object-Oriented Plotting
Charts and Advanced Visualization
- Bar Charts
- Pie Charts
- Histograms
- Scatter Plots
- Subplots
- Geographic Data with Basemap
- Three-Dimensional Plotting
- Matplotlib Animations
06 / HTML & HTML5
HTML Fundamentals
- Introduction to Web Technologies
- Introduction to HTML
- HTML Document Structure
- Presentational and Formatting Tags
- Titles and HTML Entities
- Attributes
- Images and Anchor Tags
- Lists
- Div Elements
- HTML Tables
- HTML Forms and Form Controls
- Additional Form Controls
- HTML5 Semantic and Structural Elements
07 / CSS & CSS3
Web Styling
- Introduction to CSS
- CSS Selectors
- CSS Box Model
- Styling HTML Elements
- Advanced Cascading Style Sheets
08 / JavaScript & Bootstrap
JavaScript Fundamentals
- Introduction to JavaScript
- JavaScript Implementations
- Variables and Data Types
- JavaScript Operators
- Control Statements
- Arrays
- Functions
- Function Expressions
- Arrow Functions
- JavaScript Strings
- JavaScript Objects and Constructors
Browser JavaScript
- Document Object Model (DOM)
- DOM Element Manipulation
- Event Handling
- Browser Object Model (BOM)
- Window Object
- Form Validation
- Regular Expressions
- Bootstrap
09 / Django with REST API
Django Fundamentals
- Introduction to Django
- Django Installation and Setup
- Developing a First Web Application
- Templates and Static Files
- Views and URL Routing
- Models and Databases
- Forms and Validation
- Advanced Template Features
- Session Management
- User Authentication and Authorization
Advanced Django and APIs
- Class-Based Views
- Function-Based Views
- CRUD Operations
- Django ORM
- Advanced Model Concepts
- Django REST Framework
- Testing and Debugging
- Caching and Performance Optimization
- Advanced Django Forms
- Django Security
- Signals and Asynchronous Tasks
- Deployment and Production
- WebSockets and Real-Time Communication
- Project Development and Refinement
10 / Flask Framework
Python Web Applications Using Flask
- Introduction to Flask
- Building Web Applications
- Web Forms and User Input
- Databases and Data Storage
- User Authentication and Authorization
- RESTful APIs
- Deployment and Scaling
- Advanced Flask Topics
11 / Database Technologies
Databases Listed in the Course
- MySQL
- MongoDB
These are the database technologies named in the supplied course syllabus.
12 / Development & Deployment Tools
Developer Tools
- AWS Basics
- Git Version Control
- Docker
- Kubernetes
13 / Angular Framework
Angular Fundamentals
- Introduction to Web Technologies
- TypeScript Deep Dive and Architecture
- Introduction to Angular
- Setting Up the Angular Environment
- Angular Architecture
- Components
- Angular Pipes
- Angular Services
- Angular Forms
Advanced Angular
- Observables and RxJS
- Angular Modules
- Dependency Injection
- HttpClient
- Routing and Navigation
- Angular Animations
- Angular Material
- Unit Testing in Angular
- Advanced Angular Topics
14 / Full Stack Integration — Learning Overview
How the Course Technologies Fit Together
- Frontend and Backend Integration
- Connecting Django or Flask to Databases
- REST API Integration
- Authentication and Authorization
- Testing and Debugging
- Application Deployment Concepts
This is a suggested learning overview combining existing course concepts, not an additional confirmed module from the source syllabus.
Who Should Learn Full Stack Python?
Freshers
Build programming fundamentals and explore complete web development.
Software Engineers
Expand programming skills into Python backend development.
Engineering Students
Understand frontend, backend and database application layers.
Entrepreneurs
Explore web application technologies for understanding product development.
Working Professionals
Develop knowledge relevant to Python web development roles.
Programming Enthusiasts
Explore Django, Flask, databases and frontend frameworks.
Career Paths Related to Full Stack Python
Depending on technical ability, qualifications and practical experience, learners may explore opportunities related to Python web development.
- Junior Python Developer
- Junior Full Stack Developer
- Junior Backend Developer
- Django Developer
- Flask Developer
- Web Application Developer
These are possible career paths, not guaranteed job placements.
Learn Python. Build Applications. Develop Your Skills.
Interested in Full Stack Python training near JNTU, Hyderabad? Speak with the Naresh i Technologies team about fees, batches and enrollment.
Full Stack Python Training FAQs
What is Full Stack Python Development?
Full Stack Python Development combines frontend technologies, Python backend frameworks, APIs and databases to build complete web applications.
Can beginners learn Full Stack Python?
Beginners can start with Python programming fundamentals and gradually progress into web development, Django, Flask and database concepts.
What is the Full Stack Python course duration?
The listed course duration at Naresh i Technologies, JNTU, Hyderabad, is 5 months. Contact the branch to confirm the current batch schedule.
What are the Full Stack Python course fees?
The supplied JNTU course pricing is ₹20,000 without videos and ₹35,000 with videos. Confirm video access and payment details with the branch.
Does the Python course include Django and Flask?
Yes. Django with REST API and Flask are both included in the supplied Full Stack Python curriculum.
What frontend technologies are included?
The curriculum includes HTML, CSS, JavaScript, Bootstrap and Angular for frontend application development.
Does Full Stack Python include SQL and MongoDB?
The supplied curriculum lists MySQL and MongoDB under its database module.
What development tools are covered?
The source curriculum lists Git, AWS basics, Docker and Kubernetes.
What jobs can Python learners explore?
Depending on proficiency and experience, learners may explore Junior Python Developer, Django Developer, Backend Developer and Junior Full Stack Developer roles.
Where can I learn Full Stack Python near JNTU Hyderabad?
Naresh i Technologies offers Full Stack Python training at its JNTU location in Hyderabad. Contact +91 99660 45222 for enrollment enquiries.