Full Stack Python Training in KPHB, Kukatpally

Full Stack Python

Python || HTML | CSS | JavaScript || Angular || django || Rest API || DataBase

Course Introduction

The Full Stack Python Course is your gateway to a secure and fulfilling tech career. This intensive, hands-on program is tailored for those who are new to the tech world or looking to transition into it. With a job-oriented curriculum, real-world projects, and mentorship, you’ll learn how to build modern, scalable web applications from the ground up.

“Whether you’re a recent graduate or an aspiring job seeker, this course empowers you to confidently apply for developer roles across the globe.”

Course Details:

Course Price:

with out videos : ₹ 12,000/-
No Videos Option

Course Duration

4 - 5 Months

Language:

English

Fill Details

Edit Template

What is Full Stack Python?

Full Stack Python refers to the ability to build both the frontend (client-side) and backend (server-side) of web applications using the Python programming language and related tools.

Typical Full Stack Python Stack:

Layer	Technologies
Frontend	HTML, CSS, JavaScript, Angular
Backend	Python, Flask, Django
Database	MySQL, MongoDB
Dev Tools	Git, GitHub, REST APIs
Python for Data Science	Numpy, Pandas, Matplotlib

Who Can Learn This Course?

What You Need Before You Begin Full Stack Python Training

✅ A computer or laptop with internet access
✅ Basic understanding of English
✅ Curiosity and consistency
❌ No coding background or CS degree required!

If you’re motivated and willing to learn, you can succeed.

Why Should Freshers Learn Full Stack Python?

High Demand

Python is among the top 3 programming languages worldwide, and full stack developers are in constant demand across startups, MNCs, and product companies.

One Language, Multiple Careers

With Python, you can dive into web development, data science, machine learning, automation, and more.

Job-Ready in 4–6 Months

With structured learning and hands-on projects, you can gain the skills needed for real-world development jobs in just a few months—making Python an efficient and fast-track choice for freshers.

Ideal for Freshers

Python’s simple syntax and vast community support make it the perfect language for beginners.

What You’ll Learn

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

Introduction To Web Technologies
Typescript Deep Dive-Type Script Architecture
Introduction To Angular
Setting Up Environment For Angular
Angular Architecture
introduction to components
Angular Pipes
Angular Services
Angular Forms
Observables&Rxjs
NG Modules
Dependency Injection
Httpclient
Routing & Navigation
Angular Animations
Angular Materials
Unit Testing In
Angular
Advanced Topics

Introduction to Django
Django & Atom Installation and Development of First Web Application
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

AWS Basics
Version Control-GIT
Docker
Kubernetes

Top Technologies to learn
Register for the Course !

Career Benefits of Full Stack Python

By learning Full Stack Python, you open doors to several job roles:

Python Developer
Full Stack Web Developer
Backend Engineer
Django/Flask Developer
Software Engineer Intern

Average Salary Stats:

Location	Entry-Level Salary
India	₹3–7 LPA
USA	$65K–$100K
Remote (Global)	Competitive

Enroll Now!

In conclusion, our Full Stack Python Training in KPHB, Hyderabad is the perfect program to launch your Programming career. Not only will you gain theoretical knowledge, but you will also apply your skills through hands-on projects.

So why wait? Join today and start your journey in Python Programming with expert guidance!

Talk to Advaisor

Edit Template

FAQ's

No — this course is designed for absolute beginners.

Yes! We’ve trained learners from BCom, BA, BSc, and diploma backgrounds.

4-6 months with regular learning (10–12 hrs/week).

Fill Details