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Best Python Training Institute in Hyderabad

100% Job Oriented Training & Placement Assistance

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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
  • Introduction to HTML
    • What is HTML?
    • Role of HTML in Web Development
    • HTML Editors and Development Environment Setup
    • Basic HTML Document Structure
    • The HTML, head, title, & body tags
  • HTML Document Structure
    • HTML Elements and Tags
    • Block-level vs Inline Elements
    • HTML Attributes (Global and Element-specific Attributes)
    • Void Elements
  • Text Formatting
    • Heading tags and formatting tags
    • Quotes: Blockquote and Inline Quotes
    • Body Entities
    • Lists: Ordered , Unordered and Datalist
  • Links and Navigation
    • Creating Hyperlinks with <a>
    • Linking to External and Internal Resources
    • Email Links and Telephone Links
    • Image Links
    • Navigation Bars and Menus (with <nav>)
  • Images
    • Inserting Images with img tag
    • Alt Attribute and Image Descriptions
    • Mapping Image with different shapes
    • Using (iframe) for External Content (e.g., YouTube)
  • Tables
    • Creating Tables: <table>, <tr>, <td>, <th>
    • Table Headers, Footers, and Captions
    • Colspan and Rowspan Attributes
    • Table Accessibility Considerations
  • HTML5 Semantic Elements
    • The Role of Semantic HTML in Modern Development
    • New Structural Elements in HTML5 (<header>, <footer>, <main>, <aside>)
    • Using <section> and <article> for Content Segmentation
    • Benefits for SEO and Accessibility
  • Forms and Input Handling
    • Form Structure: <form>, action, method
    • Difference between Get and Post Method
    • Common Input Types: Text, Password, Email, Number, Date, etc.
    • Checkboxes, Radio Buttons, and Select Dropdowns
    • Textarea and Submit Buttons
    • Form Validation (Required Fields, Pattern Matching)
    • Labeling Forms and Improving Accessibility
  • Multimedia
    • Intro to Multimedia and Formats of Video &Audio
    • Embedding Audio
    • Embedding Video
  • Graphics
    • Difference between Canvas VS SVG
    • Embedding External Stylesheets and JavaScript Files
    • Inline SVG Graphics
  • HTML API'S
    • HTML Web APIs
    • HTML Drag and Drop
    • HTML Web Storages
    • HTML Web Workers
  • Introduction to CSS
    • What is CSS?
    • History and Evolution of CSS
    • Advantages of CSS in web Development
    • Types of CSS:Inline,Internal,External
    • Basic CSS Syntax and Structure
    • CSS Selectors: Element, ID, Class, Universal, Grouping
  • CSS Box Model
    • Understanding the Box Model
    • Margins, Borders, Padding, and Content
    • Box-sizing property
  • CSS Selectors in Depth
    • Attribute Selectors
    • Pseudo-Classes and Pseudo-Elements
    • Combinators: Descendant, Child, Adjacent, General Sibling
  • CSS Layout Techniques
    • Positioning: Static, Relative, Absolute, Fixed, Sticky
    • Display Property: Block, Inline, Inline-Block, None
    • Float and Clear
    • CSS Flexbox and CSS Grid: Introduction and Key Properties
  • Typography in CSS
    • Font Properties: Font-Family, Font-Size, Font-Weight, Font-Style
    • Text Properties: Text-Align, Text-Transform, Text-Decoration, Line-Height
    • Using Web Fonts
  • Styling Links and Lists
    • Styling Hyperlinks: Link States
    • Styling Ordered, Unordered, and Definition Lists
  • Colors, Backgrounds, and Borders
    • Color Models: RGB, RGBA, HEX, HSL, HSLA
    • Background Properties: Background-Color, Background-Image, Background Position, Background-Repeat, Background-Attachment
    • Border Properties: Border-Width, Border-Style, Border-Color, Border-Radius
    • Gradients: Linear, Radial
  • CSS Units and Values
    • Absolute Units: px, pt, cm, mm
    • Relative Units: em, rem, vw, vh, %, fr
    • Calculations using the calc() function
  • CSS Transitions and Animations
    • CSS Transitions: Transition Properties, Timing Functions
    • CSS Animations: Keyframes, Animation Properties
  • Responsive Design with CSS
    • Media Queries: Breakpoints and Usage
    • Viewport Meta Tag
    • Responsive Units: %, vw, vh, rem, em
    • Flexbox and Grid for Responsive Layouts
  • Advanced CSS Features
    • CSS Grid Advanced Techniques: Grid Areas, Template Layouts
    • Advanced Flexbox Layout Patterns
    • CSS Shapes and Masks
    • CSS Clip-Path Property
    • CSS Filters: Blur, Grayscale, Drop Shadows, etc.
    • Advanced Selectors (Nth-child, Nth-of-type)
  • Introduction to Bootstrap
    • Overview of Bootstrap
    • History and evolution of Bootstrap
    • Importance of responsive design in web development
    • Installation and setup of Bootstrap (via CDN, npm, or manual download)
    • File structure of Bootstrap
  • Bootstrap Grid System
    • Understanding the Bootstrap grid system
    • Grid layout and breakpoints
    • Building responsive layouts with the grid system
    • Understanding container, row, and column classes
    • Nesting grids and offsetting columns
  • Typography and Basic Elements
    • Bootstrap’s typography system
    • Headings, paragraphs, and text utilities
    • Lists, blockquotes, and code elements
    • Inline elements and contextual text classes
  • Bootstrap Components
    • Overview of Bootstrap components
    • Buttons and button groups
    • Forms: Form controls, input groups, layout options, and validation
    • Navigation: Navbar, navs, and tabs
    • Dropdowns and modals
    • Alerts, badges, and breadcrumbs
    • Cards and media objects
  • Utilities and Helpers
    • Utility classes in Bootstrap
    • Margin, padding, and spacing utilities
    • Display and visibility classes
    • Sizing utilities for width, height, and viewport settings
    • Flexbox utilities for alignment, distribution, and order
    • Text alignment and font utilities
    • Background and color utilities
  • Advanced Components
    • Carousel and image sliders
    • Collapse and accordions
    • Tooltips and popovers
    • Pagination and progress bars
    • Scrollspy and sticky navigation
  • Bootstrap Icons and Customization
    • Introduction to Bootstrap Icons
    • Adding and customizing Bootstrap Icons
    • Customizing Bootstrap with Sass variables
    • Overriding Bootstrap styles
    • Creating custom themes with 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

  • What is Python?
  • Uses of Python
  • Features of Python
  • Working with different types of Python like
    • CPython
    • Jython
    • IronPython
    • PyPy
    • Python XY
    • Anaconda Python
  • Python Environment
    • Installation of Python
    • Path Settings of Python
    • Python Shell, Editors, IDLEs
    • Working with PyCharm
    • Working with Jupyter Notebook
    • Working with Spyder
    • Working with Google Colab
    • Basic Syntax
    • Running Python Scripting
    • 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( )
    • Type conversion Function
    • Del Keyword
  • Operators
    • Arithmetic Operators
    • Relational Operations
    • Logical Operations
    • Assignment Operators
    • Short hand Assignment Operator
    • Membership Operators
    • Bitwise Operators
    • Identity Operators
    • Conditional Operator
    • Evaluating expressions
    • Walrus Operator
  • Conditional Statements
    • Simple if
    • If..else
    • If..elif
    • Nested If
    • Match case
  • Control Statement or Looping Statements
    • While Loop
    • While..else
    • For loop
    • For..else
    • Nested Loops
    • Break Statement
    • Continue Statement
    • Pass Statement
    • Nested Loops
  • Collections
    • List
    • Tuple
    • Set
    • Frozenset
    • 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 using collections module
    • Difference between other collections vs and dictionary
      • Set VS List
      • List VS Tuple
      • Set VS Frozenset
  • String Handling
    • What is String ?
    • Single line string literal
    • Multline string literals
    • F-strings
    • Raw-strings
    • Reading string Data by using slicing and indexing
    • Unpacking and unpacking using slicing
    • Working With String manipulation methods
  • 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 function
    • Global keyword and its use
    • Nonlocal keyword and its use
  • Lambda Functions / Anonymous Functions
    • Working map( )
    • Working Filter()
    • Filter with None
    • Reduce from functools module.
  • Sorting the Collections
    • List collection storing
    • Other collection sorting with sorted( ) function
    • Sorting Nested Collections using lambda Expression
  • Comprehension
    • What is comprehension
    • Use of comprehension
    • Types of comprehension
      • List comprehension
      • Tuple comprehension
      • Set comprehension
      • Dict comprehension
      • Nested comprehension
      • Comprehension using conditions
  • Modules
    • What is a module?
    • Types of Modules
    • The import statement
    • Module aliases / renaming a module
    • from ... import statement
    • Reloading a module using reload()
    • dir() function
    • Creating user-defined modules
    • Working with __name__
    • help()function
    • Working with pre-defined standard modules (math, datetime, os, sys, string, ...)
  • Working With Command Line Arguments
    • argv[ ] from sys module
    • Counting and reading command line arguments
    • Performing operations on the data extracted from command line
  • Working with Random Module
    • random()
    • randint()
    • uniform()
    • shuffle()
    • choice()….
  • Packages
    • Introduction of packages
    • __init__.py file
    • Defining packages
    • Importing from packages
    • Defining nested packages
    • Local packages and global packages
    • Site packages and its importance
  • Advanced Python
    • OOPS Concepts
    • Why OOPS?
    • Difference Between POP and OOPS
    • Encapsulation
    • Defining Classes
    • Creating Objects
    • self
    • Instance Variables
    • Instance Methods
    • Static Variables
    • Static Methods
    • Class Methods
    • Constructors
    • Defining Methods
    • Difference between Function and Method
    • Object Reference Count
  • Garbage Collection
    • Deleting an object
    • Why to delete an object
    • How to delete an object
    • What is GC (Garbage Collection)
    • What is Destructor __del__
    • Use of Destructor
  • Inheritance
    • Types of inheritance
    • super() statement
    • Built-in properties of object class
    • Inner Classes
  • Data Abstraction / Data Hiding
    • Using Access Modifiers
    • Private, Protected and Public
  • Polymorphism
    • Method overloading
    • Method overriding
    • Constructor overloading
    • Constructor overriding
    • MRO
    • Operator Overloading
    • Dock Typing
  • Exception Handling
    • Syntax Errors
    • Runtime Errors
    • What is an Exception?
    • Need of Exception Handling
    • Predefined Exceptions
    • try, except, and finally block
    • Handling Multiple Exceptions
    • Nested try, except and finally blocks
    • 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 CSV files
    • Working with Excel files
    • Working with image and audio files
    • Working with zip and unzipping the files
    • Working with pickle module
    • Pickling and unpickling
  • Regular Expressions
    • What is Regular Expressions
    • Working with predefined patterns
    • Working with user defined patterns
    • Quantifiers
    • Working with match objects
    • match(), search(), sub(), subn()….
    • Splitting a string
    • Replacing text based on the patterns
    • Project Extracting contact numbers from the Files
  • Multi Threading
    • Introduction
    • About Multi Tasking
    • Difference between Thread-based Multi-Tasking and Process-based Multi-Tasking
    • Defining Thread
    • Starting Thread
    • Joining of Threads
    • Thread safety using synchronization
    • What is Deadlock and other important features of threading module
  • Database and Python Database Connectivity (PDBC)
    • What is Database
    • Difference Between Files and Databases
    • Difference Between DBMS and RDBMS
    • Creating Users and Granting Privileges
    • SQL Commands
    • Working with Stored Procedures
    • Transaction Management
    • Python Iterators vs 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
  • Introduction to REST APIs and Django REST Framework
    • What are REST APIs?
    • Introduction to Django REST Framework (DRF)
  • Core Components of DRF
    • Serializers
    • Views and Viewsets
    • Routers
  • Securing your API
    • Authentication
    • Authorization
    • Throttling
  • Advanced DRF Concepts
    • Filtering, Searching, and Ordering
    • Pagination
    • Handling Relationships and Hyperlinking
    • API Versioning
    • Caching
    • Automated API Testing
  • Development Workflow and Tools
    • Project Setup
    • Database Integration
    • Testing and Debugging
    • API Documentation
    • Deployment Considerations
  • Best Practices and Optimization
    • Designing RESTful URLs.
    • Handling trailing slashes.
    • Utilizing caching for improved performance.
    • Asynchronous views for faster I/O.

  • 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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