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Best Python Training Institute in Hyderabad
100% Job Oriented Training & Placement Assistance
5.0
5.0
4.6
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
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
