Best Python Training & Course in Hyderabad

Welcome to Qubit, the number one academy for learning how to be a Python Full Stack Developer. Whether it is your start in tech or you’re looking to upgrade your current set of skills, we will provide you with comprehensive training in preparation for the real world. Our well-crafted curriculum covers everything from frontend to backend development, so you are confident to take on the other side of web development. We provide both online and offline training with industry-grade projects, mock tests, and placement assistance so that you are all set to hit the workforce.

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Why Learn Python Full Stack Development

Python is one of the most versatile and in-demand programming languages in the world. Here’s why learning Python Full Stack Development is a smart career choice: High Demand: Python developers are in high demand due to the language’s simplicity, scalability, and broad application in fields like web development, data science, and automation. Endless Career Opportunities: With Python Full Stack skills, you can work in a variety of roles, from front-end and back-end development to full-stack engineering and even DevOps. Wide Industry Usage: Python powers some of the biggest names in tech, including Google, YouTube, Instagram, and Spotify, making it a highly sought-after skill across industries. Increasing Job Markets: Python developers are found in the ever-increasing job market because companies are also looking for individuals who can operate both the front-end and back-end side of technology. Quick Learning Curve: Python is a simple and readable language; it is considered one of the simplest programming languages to learn, even for beginner programmers. 

Key Highlights

Why Qubit

Qubit is more than an academy; it’s the community where young developers can come, transform, and therefore unlock a new career. Here’s why you should choose us:

Industry-Driven Curriculum:

Our curriculum for Python Full Stack has been designed by industry experts who want to equip you with the latest technologies used in the industry today.

Expert Trainers:

Learn from instructors with years of real-world experience in Python Full Stack development. Our trainers are passionate about teaching and mentoring students to succeed

Real-Time Projects:

We believe in learning by doing. Work on real-time projects that replicate
industry challenges, giving you hands-on experience to showcase on your resume.

Placement Assistance:

We provide you with personalized placement support, help you build a resume, interview preparation, and connect you to the top companies seeking Python developers.

Real-World Projects

Work on industry-relevant projects to apply your skills and build a portfolio to showcase to potential employers.

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Key Features

  • One Year Access to Recordings
  • Real-Time Projects
  • Placement Assistance
  • Full-Day Immersive Training
  • Industry-Ready Curriculum
  • Weekly Mock Tests

Skills Covered

Front-End Development

Back-End Development

Version Control

Deployment

Security

Agile Methodologies

Project Management projects

Soft Skills

Eligibility

Any Degree – B. Tech, BSc, B. Com, etc.

All IT & Non-IT Branches – CSE, EEE, Civil, Mech, etc.

Basic Coding knowledge is required

No CGPA cut-off. Career gap is not a barrier.

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Key Takeaways from Our Python Full Stack Course

  • Industry-Accurate Curriculum: Learn tools, frameworks, and best practices used in the current world by Python Full Stack developers.
  • Trainers Experts: Learn from professionals who have worked on Python development for years on different domains
  • Flexible Learning: A combination of both online and offline classes, recorded sessions, and access to the course material
  • Hands-on Projects: Apply your learning by working on real-world projects similar to those encountered in the industry.
  • Mock Tests: Conduct mock tests to prepare for an interview every week, along with practical coding challenges
  • One Year Access: All course material, recordings, and updates are accessible even after the completion of a course

Course Curriculum

Core Python

Python is a powerful, high-level programming language known for its simplicity and readability, making it ideal for beginners and professionals alike. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in web development, data science, automation, machine learning, and more.

To set up a Python environment, first download and install the latest version of Python from the official website. During installation, ensure you check the option to add Python to your system’s PATH. You can then use the built-in IDLE editor or install popular code editors like VS Code or PyCharm. For package management and virtual environments, tools like pip and venv help keep your projects organized and dependency-free.

  1. Python installation
  2. Visual studio code installation
  1. What an identifier(variable)
  2. Rules for an Identifier(variable)
  1. Integer data type
  2. Floating data type
  3. String data type
 
  1. ● join() ● len() ● replace() ● split() ● strip() ● rstrip() ● Istrip() ● upper() ● lower() ● slice operator with + index ● slice operator with – index

The Boolean data type in Python represents one of two values: True or False. It is commonly used in conditional statements and logical operations.

The complex data type in Python is used to represent complex numbers, which consist of a real part and an imaginary part.

● List with their properties
● append()
● remove()
● insert()
● extend()
● pop()
● index()
● sort()
● sorted()
● len()
● copy()
● clear()

● Tuple with their properties
● max()
● min()
● len()

● Tuple with their properties
● max()
● min()
● len()

a. Dictionary data type with their properties

  1. keys()
  2. values()
  3. items()
  4. popitem()
  5. get()
  6. copy()
  7. clear()
  8. update()


b. Bytes data type and ByteArray data type
c. Frozenset data type
d. Range data type
e. None data type
f. Working with input() function with their rules
g. Typecasting in python
h. Working with eval() function with their rules

a. Arithmetic operators
c. Assignment operators
d. Logical operators

  1. Logical and operator
  2. Logical or operator
  3. Logical not operator

e. Equality operators
f. Comparison operators
g. Chaining operators
h. Ternary operators

 

a. Identity operators
b. Membership operators

a. Bitwise and operator
b. Bitwise or operator
c. Bitwise exclusive or
d. Bitwise complement operator
e. Bitwise left-shift operator
f. Bitwise right-shift operator

a. Input() & print() functions
b. Working separator attribute
c. Working with end attribute
d. Formatted string
e. Replacement operator

a. Working with sys module with argv variable
b. argv variable with various operations

a. Decision making or conditional statements
b. if statement
c. nested if statement
d. if else statement
e. if elif else statement

a. for loop
b. nested for loop
c. while loop
d. nested while loop

a. pass statement
b. continue statement
c. break statement

  1.  Working with zip () function
  2.  List comprehension
  3. Tuple comprehension
  4.  Set comprehension
  5.  Dictionary comprehension

a. What is function
b. Types of functions
c. Why do use functions in real time applications
d. How to create a function in python
e. What is_name_==””__main__”
f. Formal parameters
g. Actual parameters
h. Arguments in function

  1. Positional argument
  2. Default argument
  3. Keyword argument
  4. Variable length argument
  5. Keyword variable length argument
  6. Difference between *oblj & **obj2

a. Working with lambda keyword
b. filter() function
c. map() function
d. reduce() function

a. Working with lambda keyword
b. filter() function
c. map() function
d. reduce() function

a. What is module
b. What is package
c. What is library
d. What is framework
e. How package is important in real world software’s
f. Complete structure of package
g. Complete structure of nested package

a. Why modular programming language
b. Import & export data from one to another module
c. Various possibility of import and export the data
d. Working with reload () functions
e. Working with math module
f. Working with random module

a. What are pandas
b. How to install pandas
c. How pandas ruling in data science applications
d. Working on Data Frame object
e. Working with pandas predefine functions

  1. head() function
  2. max() function
  3. sum(1) function
  4. count() function
  5. tail() function
  6. min() function
  7. sum() function
  8. sort() function

a. Iteritems ()
b. Iterrows ()
c. Itertuples ()

a. What is NumPy
b. How NumPy is ruling in data science applications
c. How to install NumPy
d. Working with zero to nth dimension arrays
e. What is ndim
f. What is ndmin
g. Slicing with numpy
h. Working with shape attribute
i. Working with reshape function
J. Applying the loops on NumPy
k. Working with predefine functions in NumPy

a. Working on Stack with their rules
b. Working with Queue with their rules
c. Working binary tree with their rules
d. Working with linked list

  1. Single linked list
  2. Double linked list

a. Why modular programming language
b. import & export data from one to another module
c. Various possibility of import and export the data
d. Working with reload () functions
e. Working with math module
f. Working with random module

  1. Pattern Examples
  2. Important Interview Questions & Answers

Advance Python

a. What is class
b. How to create class
c. What is an object
d. How to create an object
e.What is constructor
1. What is Instance method (Non static method)
g. What is class method
h. What is static method
i. What is Instance variable
j. What is Static variable
k. What is Local variable

a. Duck-Typing
b. Operator overloading
c. Method overloading
d. Method overloading with default argument
e. Method overloading with variable length argument
f. Constructor overloading
g. Constructor overloading with default argument
h. Constructor overloading with variable length argument
i. Method overriding
j. Constructor overriding

  1. Working on Encapsulation
  2. Abstract method
  3. Abstract class
  4. Interface
  5. Concrete classes
  6. Access modifier

a. Why file is required
b. What is file handling
c. How to open a file
d. Working with various modes of file
e. Working with write() and write lines()
f. Working with read() and tead line() and read lines()
g. Working with ‘with’ statement
h. Working with pickling & unpickling
i. Working with CSV module
j. Working with Zipping and Unzipping
k. Working with object serialization and object deserialization

a. Types of errors in programming language
b. What is exception
c. What is main objective of an exception
d. Working with try & except block
e. Working with default exception
f. Working with try & except & else & finally block
g. Working with nested try & except & else & finally block
h. Difference between try & finally block

a. What is decorator
b. Why decorator is required
c. Working with
@decor name decorator
d. Working with decor function

a. What is generators
b. Why do we require generators
c. Working with yield keyword

a. What is multi-threading
b. Types of multi-threading
c. What is Thread
d. How many ways we can create thread in python
e. How to improve the application performance with threading
f. Synchronization and Asynchronization

a. What is assertion
b. Types of assertion
c. Working with assert keyword to develop testcases
d. Scripts for to perform debugging operations using assertion

a. What is regular expression
b. Working with re module in python
c. Working with character classes
d. Working with predefine classes
e. Working with quantifiers
1. Regex object for Indian mobile number
g. Regex object for email
h. Working with predefine functions

  1. match()
  2. fullmatch()
  3. search()
  4. findall()
  5. sub()
  6. subn()
  7. split()


i. What is web scarping
J. How to fetch real time data using web scarping process

Web Development

a. What are the software required to learn Ul
b. Working with Fav icon for our frontend
c. Working with heading tag
d. Working with formatted tag
e. Working with paragraph tag
f. Working with marquee tag
g. Working with image tag
h. Working with anchor tag
i. Working with table tag
J. Working with form and its components
k. Developing the complete form with validation
l. Working with HTML 5 tags
m. Working with div tag

a. What is CSS
b. Types of CSS

  1. Inline CSS
  2. Internal CSS
  3. External CSS

c. What are selectors and its types

  1. Using tag-based selector
  2. Using class-based selector
  3. Using Id selector
  4. Using group by selector
  5. Using universal selector

d. Working with float property
e. Working visibility property
f. Working with display property

  1. none
  2. inline
  3. inline-block
  4. block
  5. flux

g. Working with position property

  1. static
  2. absolute
  3. fixed
  4. sticky
  5. inherit

h. Working with media query

a. Why JavaScript
b. What is JavaScript
c. How many ways we can JavaScript

  1. Inside the body tag
  2. Inside the head tag
  3. External JS

d. Working with variable declarations
f. Working with document.Write()
g. Working with console.log()
h. Working Dialog boxes

  1. Alert() or window.Alert()
  2. Confirm() or window confirm()
  3. Prompt() or window.promprt()

J. Working with Data types

  1. Primitive data type
  2. Non primitive data type

k. Working with operators
l. Working with control statements
m. Working with events
n. Working with functions
o. Working with DOM
p. Working with High order functions
q. Working with promises in JS
r. Working with OOPS in JS

  1. Creating a class
  2. Creating an object
  3. Constructor
  4. Inheritance
  5. Super keyword
  6. Encapsulation
  7. Prototypes
  8. Polymorphism
  1. Why bootstrap
  2. What is bootstrap
  3. Features of bootstrap
  4. What is grid system
  5. What are offset classes
  6. Working with typography
  7. Working with buttons
  8. Working with jumbotron
  9. Working with Progress bar
  10. Working with paginations
  11. Working with forms
  12. Working with cards
  13. Working with navbar tag
  14. Working with model
  15. Working with validations states
  16. Working with panel
  17. Working with toggle and collapse classes

Django

  1. Prerequest to learn Django
  2. What is Django
  3. Features of Django
  4. How to create a project
  5. How to create application
  6. Working with complete file structure in Django after creating Django project & application
  7. How to create more than one application
  8. How to create a urls.py file at application to improve performance
  9. Working with MVT design pattern
  10. Working with templates folder for frontend development
  11. Working with Static folder for frontend design development
  12. Implementing JavaScript in Django
  13. Implementing bootstrap in Django
  14. Working with model class in Django
  15. Working with Django forms
  16. Working with Django model relationship

          a. One To One Relationship
          b. Many To One Relationship
          c. Many To Many Relationship

17. Django Exceptions
         a. Working with predefine exception
         b. Working with custom exception

18. Django ORM
19. Django Cookies & Sessions implementations
20. Django Custom Routing
21. Django Image uploading
22. Django file uploading

  1. Why Django rest framework is required
  2. What is API
  3. What is Web API
  4. What is Rest-Ful API
  5. How to create restful API’s using Django rest framework
  6. Working with postmen tool to test our restful API’s

AngularJS

1. Prerequest to learn angularjs
2. What is angular JS
3. Working with angular JS directives
4. Working with one way and two data binding
5. Working with Angular filters

  1. Introduction to typescript
  2. What is typescript
  3. How to install and develop the typescript
  4. What is Transpolations
  5. Installing of NodeJS
  6. How to install angular framework
  7. How to create an application
  8. File and folder structure of angular application
  9. Working with one way data binding
    a. Interpolation data binding
    b. Property binding
    c. Class binding
    d. Style binding
    e. Event binding

  10. Working with Two-way data binding
  11. Working with custom component
  12. Integrating bootstrap in angular
  13. Working with *ngFor and *nglf and *ngSwitch
  14. Working with predefine pipes
  15. Working with custom pipes
  16. Working with unit testing in angular
  17. Working with Routing in Angular

ReactJS

  1. Why react compare to another framework
  2. What is react
  3. Installing of ReactJS
  4. File & folder structure of react application
  5. Functional component in ReactJS
  6. Class component in ReactJS
  7. Working with Custom component
  8. Working with CSS in reactJS
  9. Working with Bootstrap integration
  10. Wor Working with JSX
  11. What is state in ReactJS
  12. States using functional component
  13. States using class component
  14. Working with Props in ReactJS
  15. Working with Hooks in reactJS
  16. Working with Redux operations
  17. Working with MYSQL integration in ReactJS

Mysql or Oracle Database

  1. Why database
  2. What is database
  3. What is SQL
  4. How to install MYSQL database
  5. Working with DDL commands

    a. create command
    b. alter command
    c. drop command
    d. rename command
    e. truncate command

  6.  Working with DML commands

    a. insert command
    b. update command
    c. delete command
    d. select command

  7.  Working with constrains
    a. primary key
    b. foreign key
    c. unique key
    d. null key

  8. Working with order by clause
  9. Working with where clause
  10. Working with having clause
  11. Transactional commands

    a. rollback
    b. commit
    c. save point

  12. Working with joins
    a. inner join
    b. outer join
    c. cross join
    d. full join

Flask

  1. Prerequest to Learn Flask
  2. What is Flask
  3. Why Flask compares to Django
  4. How to install flask
  5. How to create flask applications
  6. How to integrate routing in flask
  7. How to develop frontend development using flask
  8. How to connect database with flask
  1. What is flask restful
  2. What is microservice
  3. How to develop microservice based restful API’S
  4. Implementing the microservice using flask restful
  1. What is Fast API
  2. Why FastAPI compare to flask restful & Django rest framework
  3. Develop the restful APIS with FastAPI with mongo DB implementation

FAQ's

Ans. A Python Full Stack Developer is someone who has knowledge of front-end and back-end development using Python and related technologies.

Ans. No, this course is suitable for beginners as well as experienced professionals. We start from scratch and then take the learning to advanced levels.

You will be trained on the following: Python, Django, Flask, React/Angular, SQL/NoSQL databases, Git, RESTful APIs, and cloud platforms.

It usually lasts between 5 to 6 months.

You are going to get a certificate once you complete it from Qubit.

We offer online Classes.

Yes, we have evening classes, which are very flexible, so working professionals can attend classes

Yes, we provide dedicated placement assistance, including resume reviews, interview coaching, and job opportunities.

You will have access to class recordings so you can catch up at your convenience.

Yes, we conduct weekly mock tests that help assess how you are progressing and getting ready for technical interviews.

You work on a lot of real-time projects that simulate the challenges you are likely to encounter in the industry. For example, developing a full-stack web application.

All materials and resources come within the course fees.

We welcome everyone looking to switch into tech. This course is beginner-friendly and will help you land a job in Python development.

 If you are passionate about coding, problem-solving, and building applications, then this course is perfect for you.

The course includes lectures, hands-on coding sessions, real-time projects, mock tests, and assessments.

Our combination of expert trainers, real-time projects, industry-aligned curriculum, and personalized placement assistance sets

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Python Certification Overview

At Our Qubit Ai Labs Python certification validates your skills and expertise in Python programming, enhancing your credibility and career prospects. It demonstrates proficiency in core and advanced Python concepts, frameworks, and tools, making you a sought-after professional in the IT industry. Achieving certification equips you with the confidence to tackle real-world challenges and opens doors to high-paying job opportunities globally.