Full Stack Python Training in KPHB, Kukatpally

Full Stack Python

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

Course Overview

Full Stack Python is one of the most in-demand skills in the software industry. It covers both front-end and back-end development, allowing developers to build dynamic and scalable web applications. With Python’s simplicity and flexibility, it has become the top choice for developers and businesses worldwide.

This training program in KPHB focuses on teaching Python fundamentals, web frameworks, databases, and deployment strategies. Students will gain hands-on experience with real-world projects and industry-relevant tools.

Our Full Stack Python Training in KPHB includes expert-led sessions, interactive coding exercises, and placement assistance. Whether you are a beginner or an experienced developer, this course will help you master full stack development with Python.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Course Details:

Course Price:

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

Lesson Duration

4 - 5 Months

Language:

English

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Description

The Full Stack Python Training in Kukatpally is designed to equip learners with the essential skills needed to develop complete web applications. This course covers everything from front-end technologies like HTML, CSS, JavaScript, and Angular to back-end frameworks such as Django and Flask.

Students will also learn database management using MySQL and MongoDB, API development with REST, and cloud deployment techniques. By the end of the training, participants will have built multiple projects, enhancing their technical proficiency and employability.

Course Objectives

Learn the core concepts of Python programming and object-oriented principles.
Build interactive user interfaces with HTML, CSS, JavaScript, and Angular.
Develop robust back-end applications using Django and Flask.
Integrate databases such as MySQL and MongoDB for efficient data storage.
Implement REST APIs for seamless communication between front-end and back-end.
Deploy full stack Python applications on cloud platforms.
Gain hands-on experience through real-world projects and industry case studies.

Prerequisites

Basic knowledge of programming concepts is helpful but not mandatory.
Familiarity with web technologies like HTML and JavaScript is an added advantage.
A willingness to learn and explore new technologies.

Course Curriculum

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 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

Who can learn this course

Students and fresh graduates aspiring to become full stack developers.
Software engineers looking to enhance their Python and web development skills.
IT professionals seeking a career transition into full stack development.
Entrepreneurs and business owners who want to build web applications.
Anyone passionate about learning Full Stack Python Training in KPHB and gaining real-time project experience.

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!

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FAQ's

Full Stack Python refers to developing both the frontend and backend of web applications using Python-based technologies. It includes:

Frontend – HTML, CSS, JavaScript, React, or Angular.
Backend – Python (Django, Flask, FastAPI).
Database – MySQL, PostgreSQL, or MongoDB.

It is important because:

Python is beginner-friendly – Easy to learn and widely used.
High demand for Full Stack Developers – Companies prefer developers who can handle both frontend and backend.
Scalability & Security – Python frameworks provide security, scalability, and flexibility.
Versatility – Used in web development, data science, AI, and automation.

Full Stack Python is ideal for building modern web applications, cloud solutions, and AI-powered platforms.

A Full Stack Python Developer works with:

Frontend:

HTML, CSS, JavaScript – Core web technologies.
React or Angular – For building dynamic user interfaces.
Bootstrap & Tailwind CSS – For responsive design.

Backend:

Python – Core programming language for backend logic.
Django or Flask – Popular frameworks for web application development.
FastAPI – For high-performance API development.

Database & Cloud:

SQL Databases – MySQL, PostgreSQL for structured data.
NoSQL Databases – MongoDB for scalable applications.
Cloud Platforms – AWS, Google Cloud, or Azure for hosting.

Other Tools:

Git & GitHub – Version control and collaboration.
Docker & Kubernetes – For containerization and deployment.
RESTful APIs & GraphQL – For seamless data exchange.

These technologies help developers build scalable, maintainable, and efficient web applications.

Full Stack Python is used in:

E-commerce Platforms – Websites like Shopify use Python for backend processing.
Finance & Banking – Python is used for financial modeling and web-based banking applications.
Healthcare Systems – Hospitals use Python for managing patient data and analytics.
Enterprise Applications – CRM and ERP solutions are built using Python frameworks.
AI & Machine Learning Platforms – Python integrates with AI frameworks like TensorFlow and PyTorch.
Cloud-Based Solutions – Python applications can be deployed on AWS, Azure, or Google Cloud.

Python is scalable, secure, and easy to integrate with modern technologies.

Learning Full Stack Python offers several advantages:

High-Paying Jobs – Python developers earn competitive salaries worldwide.
Complete Project Ownership – Work on frontend, backend, and database.
Better Career Growth – Move into cloud computing, DevOps, or AI development.
Versatility – Work on web apps, automation, AI, and data science.
Future-Proof Skills – Python is the preferred language for modern applications.

With Full Stack Python skills, you can develop scalable, data-driven, and AI-powered applications.

To start with Full Stack Python, you should have:

Basic Python Knowledge – Understanding data types, loops, functions, and OOP.
SQL & Database Concepts – Knowledge of MySQL or PostgreSQL is beneficial.
HTML, CSS & JavaScript – Basics of frontend development.
Understanding of Web APIs – REST API concepts for backend development.
Familiarity with an IDE – VS Code, PyCharm, or Jupyter Notebook.

If you're new, start with Core Python, then progress to Django, Flask, and frontend frameworks.

After mastering Full Stack Python, you can apply for:

Full Stack Python Developer – Develops both frontend and backend applications.
Python Backend Developer – Focuses on API development using Django or Flask.
Software Engineer – Works on Python-based enterprise applications.
Web Application Developer – Builds dynamic websites and web apps.
Cloud Developer – Deploys Python applications on AWS, Azure, or GCP.
DevOps Engineer – Automates CI/CD pipelines for Python-based applications.
AI & Data Science Engineer – Uses Python for AI, ML, and analytics.

Python developers are in high demand, especially for web applications, AI-driven platforms, and cloud computing.

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