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Best Python Training Institute in Hyderabad

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5.0 Created by potrace 1.15, written by Peter Selinger 2001-2017

5.0 Created by potrace 1.15, written by Peter Selinger 2001-2017

4.6 Created by potrace 1.15, written by Peter Selinger 2001-2017

Best Python Training in Hyderabad, Kukatpally and KPHB

Python training in Kukatpally/KPHB, Hyderabad covers topics from scratch to expert level with lots of real time examples.

Monopoly IT Solutions is rated as one of the best DotNet Training Institutes in KPHB, Kukatpally and Hyderabad by trained students. Trainer Sathesh is highly experienced in both Training and Development delivers the content as per industry anticipation from a DotNet Developer. The DotNet Training class consists of more real time scenarios with the Industry Aligned Curriculum.

Why Monopoly IT Solutions for Python Training in Hyderabad, Kukatpally and KPHB

Monopoly IT Solutions is the best Software Training Institute in KPHB, Kukatpally and Hyderabad is rated as one of the best Python Training Institutes in Hyderabad. Here trainer is highly experienced with 20+ years of training and development experience. This Python Training classes consists of more Conceptual, Practical Oriented rather than theory.

Transform your programming knowledge into skill and elevate your career with our industry oriented real time project training at best Python full stack training institute in Hyderabad, Kukatpally and KPHB

Coding with Python Language


Python has emerged as one of the latest, most versatile and widely-used programming languages, powering applications across various domains from web development to data science and artificial intelligence. At Monopoly IT Solutions, we are dedicated to bringing you comprehensive resources and guidance to embark on your coding journey using Python.

Whether you're a complete beginner or an experienced programmer looking to expand your skill set, our curated content covers everything you need to know to master Python coding. From fundamental concepts like variables, loops, and functions to advanced topics such as object-oriented programming and data visualization, we've got you covered.

Our sessions are designed to be beginner-friendly yet detailed enough to challenge even seasoned developers. We believe in hands-on learning, so expect plenty of practical exercises and real-world examples to reinforce your understanding.

Join our community of learners and enthusiasts to explore the endless possibilities that Python offers. Whether you're interested in building websites, analyzing data, or creating machine learning models, Python is your gateway to innovation and creativity.

Start your Python coding journey with us today and unlock a world of opportunities in the exciting realm of programming. Let's code together and turn your ideas into reality!

Find below the career journey (might change from company to company) of a Python developer


1

Junior Python Developer/Intern

  • Basic understanding of Python syntax and data structures.
  • Entry-level tasks such as bug fixing, writing simple scripts, or assisting senior developers.
2

Python Developer

  • Proficiency in Python programming.
  • Developing small-scale applications or modules under supervision.
3

Associate Python Developer

  • Increased independence in developing Python applications.
  • Understanding of software development best practices and version control systems.
4

Intermediate Python Developer

  • Strong understanding of Python frameworks (e.g., Django, Flask).
  • Contributing to the design and architecture of medium-sized projects
5

Senior Python Developer

  • Mentoring junior developers.
  • Leading development efforts on significant projects.
  • Proficiency in designing scalable and maintainable systems.
6

Lead Python Developer

  • Leading teams in the development of complex systems.
  • Setting coding standards and best practices.
  • Collaborating with other departments for project planning and execution.
7

Python Architect

  • Designing the overall architecture of large-scale Python projects.
  • Ensuring system scalability, security, and performance.
  • Evaluating and integrating third-party tools and libraries.
8

Technical Lead/Manager (Python)

  • Responsible for project planning, resource allocation, and task delegation.
  • Acting as a bridge between technical and non-technical stakeholders.

9

Senior Technical Lead/Manager (Python)

  • Contributing to organizational strategy and decision-making.
  • Providing technical guidance and mentoring to other technical leads/managers.
10

Python Development Manager/Director

  • Overseeing all Python development activities within an organization.
  • Setting departmental goals and strategies.
  • Managing budgets and resources.

Python FullStack Course Includes

200 Hours of Training

400 Hours of Practice

Project Related Scenarios

Flexible Class Timings

Individual Doubts Clarification

Career Guidance

free Add-ons

Most of the Python Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE

Courses (Basics) to ease your learning process and help you stay ahead of the competition.

  • C & DS
  • SDLC
  • Git Hub
  • Resume Prep.
  • Soft Skills
  • Mock Inter..

Python Project Oriented Course Curriculum

You will be exposed to the following Python Full Stack training content

  • HTML & CSS
    • Intro to HTML Syntax
    • The HTML, head, title, & body tags
    • Headings, paragraphs, & lists
    • The strong & em tags
    • The doctype
    • The meta tag
    • Formatting tags
    • Anchor tag, hrefs & download
    • Linking to pages within a website
    • The break tag
    • Creating Paragraphs
    • Table & other tags in Tables
    • The image tag, source & alt attribute
    • span, div & iframe
    • HTML Semantic Elements
    • Editing HTML in the DevTools Elements panel
    • Intro to Cascading Style Sheets (CSS)
    • Inline, Internal & External CSS
    • CSS Selectors
    • CSS Specificity
    • The font-size, font-family, color, & line-height properties
    • Hexadecimal color codes
    • Position Properties
    • Display Properties
    • Padding & Margin Properties
    • Background & Color Properties
    • CSS borders
    • Creating Shadows in CSS
    • Media quiries
    • Enabling, disabling, & editing CSS in the DevTools
    • Using DevTools to fine-tune your CSS
    • Bootstrap
  • Javascript
    • Intro to Javascript
    • ECMA Standard
    • Different Javascript Engines
    • Data Types & Operators
    • Control Statements & Loops
    • Displaying Pop up messages
    • Functions in Javascript
    • Arrow Functions
    • Variable & Functions Hoisting
    • let, var & const
    • Objects in Javascript
    • Different Types of Object creations
    • Creating classes using function
    • Prototype
    • Shallow copy & Deep copy
    • Arrays
    • Array functions - map, filter, reduce....
    • Closures
    • Event handling
    • DOM Manipulation
    • Data Validations
    • Template literals
    • Spread Operator & Rest Parameters
    • Object & Array Destructuring
    • call, apply & bind
    • Call back functions
    • Promises
    • async and await
    • setTimeout, setInterval
    • Event looping
    • Browser API - Fetch API
    • Web Storages - Local, Session Storages & Cookies
  • Typescript
    • Intro to Typescript
    • Diff. Between Javascript & Typescript
    • Data Types & Variables
    • Working with classes
    • Inheritance
    • Working with Interfaces
    • Generics
    • Modules & Namespace
  • Angular
    • Intro to Angular
    • Intro to SPA - Single Page Application
    • Angular application bootstrapping flow
    • Data Bindings
    • RouterModule and Routing
    • Eager Loading and Lazy Loading
    • Modules
    • Component & Life Cycle
    • Directives
    • Services & DI
    • Pipes
    • Data Sharing between components
    • Route Parameter & Query Parameters
    • Auth Guards
    • Interceptors
    • HttpClientModule & HttpClient
    • Route Resolvers
    • Creating Reusable components
    • Observabls, Subjects & Types of Subjects
    • Rxjs Operators

  • Python
    • Introduction to Python
    • Uses of Python
    • Features of Python
    • Setting up Python Environment
    • Language fundamentals
    • Keywords
    • Data types
    • Static Data types Vs Dynamic Data types
    • Collection Types
    • Mutable Objects vs Immutable Objects
    • Naming Conventions
    • Print( ) , type( ), id( ) functions
    • Input( ) and Raw_input( )
    • Type conversion Function
  • String Handling
    • What is String ?
    • String-quoted String literals
    • Triple-quoted String Literals
    • String Indexing
    • String Slicing
    • Working with String Functions
    • Working With String methods
    • String multiplication
  • Operators
    • Arithmetic Operators
    • Relation Operations
    • Logical Operations
    • Assignment Operators
    • Short hand Assignment Operators
    • Membership Operators
    • Bitwise Operators
    • Identity Operators
    • Evaluating expressions
  • Flow Controls
    • Conditional Statements
    • Simple if, If..else, If..elif
    • Looping Statements
    • While loop,For loop,Using Range( ) in for loop ,
    • Nested Loops
    • Break Statement
    • Continue Statement
    • Pass Statement
  • Collections
    • Introduction Of Collections
    • List
    • Tuple
    • set
    • Dictionary
    • Collection indexing and slicing
    • Functions for all Collections
    • Working with methods of Collections
    • Nested Collections
    • Implementation of SET operations
    • Getting dictionary values
    • Reading file data into a dictionary
    • Counting with dictionary
    • Difference between list , set and dictionary
    • Sorting Collections
  • Functions
    • Defining a function
    • Calling function
    • Types of arguments
    • Default arguments
    • Non default arguments
    • Keyword arguments
    • Non keyword arguments
    • Arbitrary arguments
    • Return statement in function
    • Handling returning values
    • Global vs local variables
    • Scope of global variables and local variables
    • Call by values ,call by reference
    • Passing function to functions
    • Lambda functions / anonymous Functions
  • Modules
    • What is modules ?
    • Types of Modules
    • The import Statement
    • Module Aliases / renaming a module
    • From .. Input
    • Reloading a module
    • Dir( ) function
    • Creating user defined module
    • Command line arguments
    • Handling returning values
    • Working with pre defined standard modules( Math, Random,Datetime,Os,Sys,String....)
  • Packages
    • Introduction of packages
    • __init__.py file
    • Defining packages
    • Importing from packages
    • Importing from sub packages
  • Exception handling
    • What is an Exception ?
    • Difference btw Syntax error vs Runtime error
    • Need of Exception Handling
    • Predefined Exceptions
    • Try, expect, and finally block
    • Handling Multiple Exceptions
    • Nested try, expect and finally blocks
    • Named Exceptions
    • User defined Exceptions
    • Raise Statements
  • File Handling
    • What is a file ?
    • Opening a file
    • Reading data from a file
    • Writing Data into a file
    • Closing a file
    • Working with File Methods
    • Working with directories
  • Adv.Python
    • OOPS Concepts
    • Why oops ?
    • What is Difference Between POP and OOPS
    • Encapsulations
    • Defining Classes
    • Creating an Objects
    • Class variables and instance variables
    • Constructors
    • Defining methods
    • Deference between function and methods
    • Destructors
    • Object reference count
    • Object Garbage Collections
  • Inheritance
    • Types of inheritances
    • Polymorphism (Overloading and Overriding)
    • Super( ) statement
    • Encapsulations
    • Data hiding
    • Built in properties of Class
    • Inner Classes
  • Regular Expressions
    • What is Regular Expressions
    • Simple character matches
    • Special character matches
    • Quantifiers
    • Grouping and Match Objects
    • Match( ), search( ) and sub( )
    • Splitting a String
    • Replacing Text
  • Multi Threading
    • Intro to Multi Threading
    • Difference between Thread based multi tasking and Process Based Multi Tasking
    • Defining Thread
    • Starting Thread
    • Thread safety using synchronization
    • Joining of Threads
    • Python iterators
    • Python Generators
    • PIP
    • GUI Programming
    • Pandas
    • Numpy
    • Matplotlib .....
  • Django
    • Introduction to Django
    • What is Django
    • Features of Django
    • How to create a project
    • How to create application
    • Working with complete file structure in Django after creating Django project &application
    • How to create more than one application
    • How to create a urls.py file at application to improve performance
    • Working with MVT design pattern
    • Working with templates folder for frontend development
    • Working with Static folder for frontend design development
    • Implementing JavaScript in Django
    • Implementing bootstrap in Django
    • Working with model class in Django
    • Working with Django forms
  • Working with Django model relationship
    • One To One Relationship
    • Many To One Relationship
    • Many To Many Relationship
  • Django Exceptions
    • Working with predefine exception
    • Working with custom exceptionp
    • Django ORM
    • Django Cookies & Sessions implementations
    • Django Custom Routing
    • Django Image uploading
    • Django file uploading

  • MS SQL Server
    • Intro to DBMS & RDBMS
    • Introduction to SQL Server
    • Intoduction to SQL
    • Data Types in SQL
    • Basic of SQL, Types of SQL Statements
    • DDL - create, alter, drop, truncate
    • DML - select, insert, update, delete
    • TCL - commit, rollback
    • DCL - grant, revoke
    • Tables
    • Constraints - NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK, DEFAULT, INDEX
    • Identity Column
    • Data Integrity
    • Clauses - selete, top, distinct, from, where, group by, having, order by
    • Joins - inner join, outer join, self join & cross join
    • Sub Queries - Sub queries, corelated subquries
    • Views
    • Functions - scalar, inline & multi valued tabular functions
    • Stored Procedures
    • Triggers - ddl, dml, log on triggers
    • Indexes - clustered, non clustered & unique indexes

  • SDLC
    • Introduction to SDLC
    • Why do we need SDLC
    • SDLC Phases
    • Requirements Gathering
    • Designing - HLD, LLD
    • Coding
    • Testing
    • Deployment
    • Maintenance
  • SDLC Models
    • Intro to SDLC Models
    • Waterfall Model
    • Iterative Model
    • Prototype Model
    • Spiral Model
    • Fish Model
    • V-Model
    • Incremental Model
    • Big Bang Model
    • RAD Model
    • Agile Model

  • Version Control System
    • Introduction to Version Control System
    • Distributed vs Non-distributed VCS
    • Alternatives to Git
    • Cloud-based solutions (Github, Gitlab, BitBucket etc)
  • Git
    • Installing Git
    • Common configurations
    • Gui Tools
    • Clone, Checkout, Working Tree, Staging Area
    • Add, Commit, Push, Pull, Stash
    • Working with Local Repository
    • Working with Remote Repository
    • Branhing, Merging Branches
    • Stashing Changes

  • Project
    • Introduction to Project
    • DB Designing
    • Writing API
    • Front End App with Angular
    • Integrating API
    • Version Control System - GIT

Our Training Methodology

  • Delivered by Senior Working Professionals
  • Practical learning sessions followed by Lab practice
  • Topic wise assignments
  • Weekly Assessments
  • Code optimisation techniques
  • Curriculum Designed by Experts

About Trainer

Our trainer has experience of training 50000+ students on C, C++, .Net and Angular over two decades helped him to understand the technology expectations of various multinational companies. All the offline/online learning classes are perfectly designed to build skills. We not only share knowledge, we focus on the application of knowledge (Skill).

Experience : 20+ years

Sathesh Sir
Sathesh Kumar M

Who can join this course?

  • If you are pursuing your academics.
  • If you are a graduate and looking for a internship.
  • If you are passionate to learn technology.
  • If you want to learn technology and complete your academic projects.
  • If you want to become expert with the technology.
  • If you are an employee and want to migrate to new technology.
  • If you are working in a non-technical field & want to move to Software job.
  • Qualification: B.E / B.Tech / M.E / M.Tech / Any Degree
  • If you are a graduate (B.E / B.Tech / M.E / M.Tech / Any Degree) and who wants to become as a .Net fullstack developer then this is the best course for them......

Monopoly IT Solutions is rated as the best Python training institute Hyderabad, Kukatpally/KPHB by many of our students. Monopoly IT Solutions in its Python training institute Hyderabad, Kukatpally/KPHB program offers the 100% placement/job assistance till the candidate become employed. We offer full time course on Python training institute Hyderabad, Kukatpally/KPHB with full time practice sessions to impart the “Real Time Project with hands-on experience”

Monopoly IT Solutions offers the other courses like Python Training in KPHB, DotNet Training institutes in Kukatpally, DotNet Training in Hyderabad, Java Training in KPHB, Kukatpally and Hyderabad, Python Training in KPHB, Kukatpally and Hyderabad, Angular Training in KPHB, Kukatpally and Hyderabad, React Training in KPHB, Kukatpally and Hyderabad

DotNet Frequently Asked Questions - FAQ

  • Full Stack Python Developer is someone who has knowledge of both frontend as well as backend development using the Python programming language. The best full-stack Python training in Hyderabad provides training on web development frameworks, databases, and deployment with an industry-oriented focus. So, your choice of this course is indeed worthwhile.

  • Python is itself a programming language and does not "support" other languages directly.
  • However, Python can interface with code written in other languages such as C, C++, and Java using various libraries and tools (e.g., ctypes, Cython, Jython).
  • Python can also be embedded within applications written in other languages.
  • There are implementations of Python that run on different platforms, such as Jython (for Java), IronPython (for .NET), and MicroPython (for microcontrollers).

  • Of course! The Full Stack Python course conveniently provides beginners with not only general basic starting tools on Python programming but also further steps into full-stack web development.

  • Web applications (using frameworks like Django, Flask, FastAPI)
  • RESTful APIs and backend services
  • Desktop GUI applications (using Tkinter, PyQt, Kivy, etc.)
  • Data science and machine learning solutions
  • Automation scripts and tools
  • Game development (using Pygame, Panda3D, etc.)
  • IoT and embedded systems (with MicroPython, Raspberry Pi)
  • Network servers and clients
  • Web scraping and data mining tools
  • Scientific and numeric computing
  • Testing and DevOps automation

  • Full Stack Python Developer
  • Backend Developer (Python/Django/Flask)
  • Frontend Developer (Angular/React with Python backend)
  • Web Application Developer
  • Software Engineer
  • DevOps Engineer
  • Data Analyst or Data Engineer (with Python skills)
  • Automation Engineer
  • Opportunities in startups, MNCs, and freelance projects
  • Ability to build and deploy your own web applications and products

Completing a Full Stack Python course opens doors to diverse roles in IT, product development, data science, and more, with high demand across industries.

  • Yes, upon completion, you will receive a Full Stack Python course certification, recognized by top IT companies for job opportunities.

  • Our Full Stack Python training course covers top frameworks like Django (for full-stack development), Flask (for lightweight web apps), React or Angular (for frontend development).

  • Yes, this course is designed to help both freshers and professionals from non-IT backgrounds transition into IT roles.
  • You will gain hands-on experience in frontend, backend, and database technologies, making you job-ready for various IT positions.
  • Our training includes real-time projects, interview preparation, and placement assistance to support your career switch.
  • Many students from non-technical fields have successfully moved into IT after completing this course.

With dedication and practice, you can confidently pursue IT jobs such as Full Stack Developer, Python Developer, Web Developer, and more.

  • Yes, Python is completely free to download, use, and distribute. It is open-source software, released under the Python Software Foundation License.
  • You can use Python for personal, educational, or commercial projects without any licensing fees.

  • There are no strict prerequisites for this Full Stack Python Developer Course, but familiarity with basic programming concepts is recommended.
Click here for Interview Questions on Python


Career Opportunities in Python

Python is one of the most in-demand programming languages in the tech industry, known for its versatility and ease of use. Completing a Full Stack Python course opens doors to a wide range of career paths across various domains. Here are some popular roles and opportunities:

Popular Career Paths

1. Web Development

  • Build dynamic websites and web applications using frameworks like Django and Flask.
  • Develop RESTful APIs and backend services.

2. Data Science & Machine Learning

  • Analyze data, build predictive models, and work on AI solutions using libraries like Pandas, NumPy, and scikit-learn.
  • Roles: Data Analyst, Data Scientist, Machine Learning Engineer.

3. Automation & Scripting

  • Automate repetitive tasks, testing, and workflows in IT and business operations.
  • Roles: Automation Engineer, QA Engineer, DevOps Engineer.

4. Cloud & DevOps

  • Deploy and manage cloud-based applications using Python scripts and tools.
  • Work with platforms like AWS, Azure, and Google Cloud.

5. Desktop & GUI Application Development

  • Develop cross-platform desktop applications using Tkinter, PyQt, or Kivy.

6. Game Development & IoT

  • Create games using Pygame or develop IoT solutions with MicroPython and Raspberry Pi.

7. Freelancing & Startups

  • Work as a freelance developer or join startups to build innovative products and solutions.

In-Demand Roles

  • Python Developer: Build and maintain Python-based applications for various domains.
  • Full Stack Developer: Work on both frontend and backend using Python, Django/Flask, and modern JS frameworks.
  • Backend Developer: Develop robust server-side logic, APIs, and database integration using Python.
  • Data Scientist / Data Analyst: Analyze data, build models, and extract insights using Python libraries.
  • DevOps Engineer: Automate deployment, CI/CD, and cloud operations with Python scripting.
  • Automation Engineer: Create scripts and tools to automate repetitive tasks and processes.
  • Machine Learning Engineer: Design and deploy machine learning models and AI solutions.
  • Cloud Engineer: Manage and deploy cloud-based applications using Python on AWS, Azure, or GCP.
  • Software Engineer: Develop, test, and maintain software solutions using Python and related technologies.

Industries Hiring Python Professionals

  • IT & Software Services: Companies building software products, web applications, and enterprise solutions using Python.
  • Finance & Banking: Organizations leveraging Python for data analysis, automation, and financial modeling.
  • Healthcare & Bioinformatics: Hospitals and research centers using Python for data processing, analytics, and medical research.
  • Education & E-learning: EdTech companies and institutions developing learning platforms and tools with Python.
  • E-commerce & Retail
  • Startups & Product Companies
  • Government & Research

Essential Skills for .NET Careers

Core Technical Skills
  • Proficiency in core and Adv.Python.
  • Knowledge of Django Framework
  • RESTful APIs using Django
  • Experience with cloud platforms (Azure/AWS).
Front-End Technologies
  • Familiarity with HTML, CSS, Bootstrap
  • Javascript, Typescript
  • Front End frameworks like Angular/React/Blazor
Database & Other Tools
  • MS SQL Server / MySQL / Oracle
  • Version control systems (e.g., Git)
  • CI/CD pipelines for deployment

Future Prospects in Python

Python continues to grow in popularity and is widely adopted across industries due to its simplicity, versatility, and strong community support. The future for Python professionals looks bright, with increasing demand in areas such as:

  • Data Science, Machine Learning, and Artificial Intelligence
  • Cloud Computing and DevOps Automation
  • Web and API Development
  • Automation, Scripting, and Testing
  • IoT, Embedded Systems, and Robotics
  • Scientific Computing and Research
  • Startups, Product Companies, and Freelancing

A career in Python offers stability, growth, and opportunities across a wide spectrum of industries. Let us know if you’d like guidance on getting started or advancing in this field!



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