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Python Training in Hyderabad

Looking to learn a versatile programming skill used across today’s tech roles? At Openminds Technologies, our Python course in Hyderabad helps you understand how to write clean, practical code for real-world applications. From core programming concepts and data handling to automation, scripting, and analytics basics, this course focuses on skills that are actually used on the job.
Learn with us and see how powerful Python can be when you know how to use it the right way.

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What is Python Training?

Full Stack Python Course Training is an immersive program designed to equip individuals with the knowledge and practical skills to develop both the front-end (what users see and interact with) and back-end (the server, database, and application logic) of web applications using Python and its associated frameworks.

In simple terms, a full stack Python developer can design, develop, deploy, and maintain entire applications independently.
Benefits of Becoming a Full Stack Python Engineer
    • High Demand & Job Security: The market consistently seeks developers who can handle both front-end and back-end tasks.
    • Increased Earning Potential: Full-stack developers typically command higher salaries due to their comprehensive skill set.
    • Versatility & Flexibility: You’re not pigeonholed into one area of development, allowing you to work on diverse projects.
    • Complete Project Ownership: The ability to build an entire application from scratch provides immense satisfaction.
    • Faster Development Cycles: By understanding both ends, full-stack developers can streamline communication and development.
    • Better Problem Solving: A holistic view of the application leads to more effective debugging and solution design.
    • Career Growth: This role provides a strong foundation for moving into leadership positions, architecture, or specialized development.

Who uses Python?

ull stack Python is widely used across industries. Some common users include
Startups
For building scalable apps with limited resources.
Large Enterprises
To maintain large-scale software systems
E-commerce companies
To build user-friendly platforms with robust back-end support.
Data-driven firms
That require integration of machine learning and AI with web solutions.

Who should learn Python?

This course is ideal for a diverse group of individuals seeking to expand their technical capabilities and career opportunities, including:
  • Aspiring Web Developers

  • Front-end Developers

  • Back-end Developers

  • Software Engineers

  • Graduates

  • Career Changers
If you have a logical mindset, a knack for problem-solving, and a desire to build complete, functional applications, then pursuing a Full Stack Python in Hyderabad is an excellent choice

Our Python Course Objective

Equip students with end-to-end application development skills.
Provide expertise in Python frameworks like Django and Flask.
Train learners on database integration with SQL and NoSQL databases.
Enable students to deploy applications on cloud platforms.

Our Python Course Curriculum

Python Basics
  • What is Python

  • Why Python?

  • History of Python

  • Applications of Python

  • Features of Python

  • Advantages of Python

  • Versions of Python

  • Installation of Python

  • Flavors of Python

  • Comparison between various programming languages (C, Java and Python)

  • Python Modes of Execution

  • Interactive mode of Execution

  • Batch mode of Execution

  • Python Editors and IDEs

  • Python Data Types

  • Python Constants

  • Python Variables

  • Comments in Python

  • Output print() function

  • input() function – Accepting input

  • Type Conversion

  • type(), id() functions

  • Escape Sequences in Python

  • Strings in Python

  • String indices and slicing

  •  
  • Arithmetic Operators

  • Comparison Operators

  • Logical Operators

  • Assignment Operators

  • Short-hand Assignment Operators

  • Bitwise Operators

  • Membership Operators

  • Identity Operators

  • PyCharm IDE Installation

  • Working with PyCharm

  • PyCharm components

  • Installing Anaconda

  • What is Conda?

  • Anaconda Prompt

  • Anaconda Navigator

  • Jupyter Notebook

  • Jupyter Features

  • Spyder IDE

  • Spyder Features

  • Conda and PIP

  • Block / clause

  • Indentation in Python

  • Conditional Statements

    • if statement

    • if–else statement

    • if–elif–else statement

  • while loop

  • while…else

  • for loop

  • range() in for loop

  • Nested for loop

  • break statement

  • continue statement

  • pass statement

  • Creating Strings

  • String Indexing

  • String Slicing

  • String Concatenation

  • String Comparison

  • String Splitting and Joining

  • Finding Substrings

  • String Case Change

  • Split strings

  • String methods

  • Introduction

  • Lists

  • Tuples

  • Sets

  • Dictionaries

  • Operations on collections

  • Functions for collections

  • Methods of collections

  • Nested collections

  • Differences between list, tuple, set, and dictionary

  • List Properties

  • List Creation

  • List Indexing and Slicing

  • List Operations

  • Nested Lists

  • List Modification

  • List Insertion and Deletion

  • List Methods

  • Tuple Properties

  • Tuple Creation

  • Tuple Indexing and Slicing

  • Tuple Operations

  • Nested Tuples

  • Tuple Methods

  • Differences between List and Tuple

  • Set Properties

  • Set Creation

  • Set Operations

  • Set Mathematical Operations

  • Set Methods

  • Insertion and Deletion Operations

  • Dictionary Properties

  • Dictionary Creation

  • Dictionary Operations

  • Dictionary Methods

  • Insertion and Deletion of Elements

  • Differences between List, Tuple, Set, and Dictionary

  • Defining a Function

  • Calling a Function

  • Properties of Function

  • Examples of Functions

  • Categories of Functions

  • Argument Types

    • Default Arguments

    • Non-default Arguments

    • Keyword Arguments

    • Non-keyword Arguments

  • Variable Length Arguments

  • Variable Scope

  • Call by Value and Call by Reference

  • Passing Collections to Function

  • Local and Global Variables

  • Recursive Function

  • Boolean Function

  • Passing Functions to Function

  • Anonymous / Lambda Function

  • filter() and map() functions

  • What is a Module?

  • Different Types of Modules

  • Creating User-defined Module

  • Setting Path

  • Import Statement

  • Normal Import

  • From … Import

  • Module Aliases

  • dir() Function

  • Working with Standard Modules: Math, Random, DateTime, OS

    • Introduction to Packages

    • Defining Packages

    • Importing from Packages

    • __init__.py file

    • Defining Sub-packages

    • Importing from Sub-packages

    • Types of Errors

    • Compile-time Errors

    • Run-time Errors

    • What is Exception?

    • Need of Exception Handling

    • Predefined Exceptions

    • try, except, finally blocks

    • Nested blocks

    • Handling Multiple Exceptions

    • User-defined Exceptions

    • raise statement

    • Introduction

    • Types of Files

    • Opening a File in Python

    • Closing a File

    • Writing Data to Files

    • tell() and seek() methods

    • Reading Data from Files

    • Appending Data to Files

    • with open statement

    • Various Functions

    • OOPs Features

    • Encapsulation

    • Abstraction

    • Class

    • Object

    • Static and Non-static Variables

    • Defining Methods

    • Difference between Functions and Methods

    • Constructors

    • Parameterized Constructors

    • Built-in Attributes

    • Object Reference Count

    • Destructor

    • Garbage Collection

    • Inheritance

    • Types of Inheritance

    • Polymorphism

    • Overriding

    • super() Statement

    • What is Regular Expression?

    • Special Characters

    • Forming Regular Expressions

    • Compiling Regular Expressions

    • Grouping

    • match() Function

    • search() Function

    • Matching vs Searching

    • Splitting a String

    • Replacing Text

    • Validations

    • Introduction

    • Installing Oracle Database

    • Creating Database Users

    • Installing Oracle Python Modules

    • Establishing Connection with Oracle

    • Closing Database Connections

    • Cursor Object

    • Executing SQL Queries

    • Retrieving Data from Database

    • Using Bind Variables

    • SQL Queries

    • Transaction Management

    • Handling Errors

    • How to Use Date & DateTime Class

    • Time and Date Objects

    • Calendar in Python

    • Time Module

    • Python Calendar Module

    • Introduction

    • getcwd()

    • listdir()

    • chdir()

    • mkdir()

    • Rename File/Directory

    • Remove File/Directory

    • OS Help

    • OS Operations

    • Python Iterator

    • Python Generator

    • Python Closure

    • Python Decorators

    • Web Scraping

    • PIP

    • Working with CSV Files

    • Working with XML Files

    • Working with JSON Files

    • Debugging

    • Introduction

    • Components and Events

    • Root Window

    • Fonts and Colors

    • Buttons, Checkboxes

    • Label Widget

    • Message Widget

    • Text Widget

    • Image

    • Introduction

    • Pandas Module

    • NumPy Module

    • Matplotlib Module

    • Working Examples

    • Installing and Working with XLSX Writer

    • Creating Excel Workbook

    • Inserting into Excel Sheet

    • Inserting Data into Multiple Excel Sheets

    • Creating Headers

    • Installing and Working with xlrd Module

    • Reading a Specific Cell, Row, or Column

    • Reading Specific Rows and Columns

  • HTML

    • Introduction to Web

    • HTML Basic Tags

    • HTML Formatting Tags

    • HTML Lists

    • HTML Tables

    • HTML Images

    • HTML Anchors

    • HTML Forms

    • HTML Input Elements

    • HTML Form Attributes

    • HTML Frames

    • HTML GET/POST

    • HTML5 Drag & Drop

    • HTML Canvas

    • HTML Multimedia


    CSS

    • CSS Basics

    • CSS Introduction

    • CSS Syntax

    • CSS Styling

    • Styling Backgrounds

    • Styling Fonts

    • Styling Links

    • Styling Lists

    • Styling Tables

    • CSS Borders

    • CSS Selectors

    • CSS Fonts

    • CSS Text Effects

    • CSS Backgrounds

    • CSS Keyframes Rule

    • CSS Multiple Columns

    • CSS 2D Transforms

    • CSS 3D Transforms

    • CSS Transitions

    • CSS Animations

    • CSS User Interface


    Bootstrap

    • Bootstrap Introduction

    • Bootstrap Images

    • Bootstrap Tables

    • Bootstrap Forms

    • Bootstrap Dropdowns

    • Bootstrap Buttons

    • Bootstrap Button Groups

    • Bootstrap Helper Classes

    • Bootstrap Panels

    • Bootstrap Alerts

    • Bootstrap Plugins Overview


    SQL

    • SQL Introduction

    • Installing a Database

    • Creating Database

    • Creating Tables

    • Insertions

    • Deletions

    • Updates

    • Groupings and Aggregations

    • Eliminating Duplicates

    • Filtering

    • Ordering

    • Merging Tables

    • Horizontal Merging

    • Vertical Merging

    • Types of Joins

    • Built-in Functions

    • Working with Queries

    • Sub-queries

  • I. Introduction

    • What is Django?

    • Why Django? Key Advantages

    • History of Django

    • Features of Django

    • Characteristics of Django

    • Companies Using Django

    • Difference between MVC and MVT

    • Models, Views, and Templates


    II. Web Frameworks

    • What is a Web Framework?

    • What is a Server?

    • HTTP Requests and Responses

    • What is a Web Application?

    • Steps in Developing Web Application


    III. Django Installation

    • Django Architecture

    • Django Installation

    • Virtual Environment

    • Working with PyCharm

    • Working with Atom

    • Developing First Django Application


    IV. Django Project Architecture

    • Exploring manage.py

    • Exploring urls.py

    • Exploring settings.py

    • Exploring admin.py

    • Exploring models.py

    • Exploring views.py

    • Application Creations and Examples


    V. Django Application Creation

    • Steps in Application Creation

    • Working with Views

    • Working with HTML and CSS

    • Working with Bootstrap

    • Django Application Creation in Atom

    • Django Application Creation in PyCharm

    • Projects with Multiple Applications

    • Reusing Applications in Different Projects

    • Working with Static Files


    VI. Django Views

    • Requesting a Web Page via URL

    • Rendering Web Page via View Function

    • Rendering HttpResponse to Templates

    • Applications with Multiple Views

    • Understanding Context Object and Dictionary Type

    • GET and POST Methods


    VII. Django Templates

    • Template Tags

    • Template Filters

    • Template API

    • Passing Dynamic Content to Template

    • Passing Multiple Dict Values to Template

    • Loading Static Files

    • Adding Image Files to Template

    • Advanced Templates

    • Template Library

    • Custom Template Filters

    • Custom Template Tags

    • Registering the Tags


    VIII. Django Admin

    • Activating the Admin Interface

    • Creating Super User for Admin Site

    • Using the Admin Site

    • How to Use the Admin Site


    IX. Django Models

    • Working with Models and Databases

    • Defining Models

    • Model Fields

    • Defining Forms

    • ModelForms

    • Make Migrations and Migrate

    • Registering Models in settings.py

    • Registering Models with Admin Site

    • Connecting with SQLite3

    • Connecting with MySQL

    • Connecting with Oracle


    X. Advanced Django Concepts

    • Django ORM

    • Faker Module

    • Class-Based Views

    • Form Validation

    • Rendering Forms

    • Crispy Forms

    • Multi-select Field

    • Embedded Video

    • Uploading and Downloading Files

    • Working with Audio and Video

    • Integrating with Legacy Databases and Applications

    • Session and User Registrations

    • Security

    • Django Deployment

    • Other Contributed Frameworks

Python Course in Hyderabad Highlights

Experienced and Certified Trainer
Comprehensive Curriculum
Hands-on Practice with Projects
Certification upon completion

Job Opportunities for Python Professionals

Full Stack Developer
Python Developer
Web Developer
Software Engineer
API Developer
Full Stack Engineer

Python Training in Hyderabad FAQ’s

Yes. Freshers with strong skills can easily start a career as a full stack Python developer.

Yes. Online live classes are available with flexible timings.

Yes. Institutes like Openmind Technologies offer personalized training sessions

Trainers are industry professionals with 10+ years of experience in software development.

PCEP, PCAP, Django, Flask, and institute-level full stack developer certifications.

Freshers can expect ₹4.5–7 LPA, while experienced professionals can earn higher packages.

Typically 4 to 6 months, depending on course structure.

UPI, Net Banking, Debit/Credit Cards, and EMI options are usually available.

Yes. Demo classes are offered for learners to evaluate before enrolling.

Students can attend multiple batches depending on institute policy.

You can contact the Openmind Technologies admissions team via phone, email, or directly at their Ameerpet office.

Course Completion Certificate

On successful completion of the Generative AI course, students will receive a Course Completion Certificate from OpenMinds Technologies. The certificate validates the learner’s training in core Generative AI concepts, tools, and practical implementations covered during the program.