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Python Full Stack Development Beginner To Professional

A Python Full Stack Developer is a versatile professional skilled in both frontend and backend web development using Python as the core programming language. They are responsible for designing, developing, and maintaining fully functional web applications, ensuring seamless user experiences and robust backend processes. As a full stack developer, one must have expertise in frontend technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular, as well as backend development using Python frameworks like Django or Flask. Additionally, they work with databases (SQL and NoSQL), RESTful APIs, version control systems like Git, and DevOps tools for deployment.

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What’s included in this Course

6 months duration hands-on practice

Live project training

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150+ Assignments

Online & Offline Training

500+ Questions for Exercise

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Python Full Stack Development Certification

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The Python Full Stack Developer course is designed to equip learners with both front-end and back-end development skills using Python and its powerful frameworks. This course is ideal for beginners, software developers, and IT professionals who want to build robust web applications. Learners will work with tools and technologies such as HTML, CSS, JavaScript, React.js, Python, Django, REST APIs, and databases like MySQL and MongoDB.

Throughout the course, students will learn how to design responsive web interfaces, create dynamic front-end components, and build secure, scalable server-side applications. Emphasis will be placed on real-time project development, version control using Git, and deploying applications on cloud platforms.

Python Full Stack Development Course Content

Detailed Course Contnet Of Python

  • Overview of Python for backend development
  • Setting up Python and IDEs (PyCharm, VS Code)
  • Writing and executing a basic Python script
  • Python’s role in web development

  • Understanding variables and data types (int, float, str, bool)
  • Type conversion and dynamic typing

  • Arithmetic and comparison operators
  • Logical and assignment operators
  • Operator precedence and associativity

  • If, elif, else statements
  • Nested conditionals
  • Short-circuit evaluation
  • Ternary operators

  • For and while loops
  • Loop control statements: break, continue
  • Iterating over sequences

  • Creating and manipulating lists
  • List methods: append, remove, sort
  • List slicing and indexing
  • Nested lists

  • Immutable tuples and their use cases
  • Tuple unpacking
  • Comparing tuples and lists

  • Creating sets and set operations
  • Use cases for sets in backend logic
  • Set comprehensions
  • Frozen sets

  • Key-value pair operations
  • Dictionary methods: get, update, pop
  • Nested dictionaries

  • Defining and calling functions
  • Parameters and return statements
  • Function scope and lifetime

  • Default and keyword arguments
  • Variable-length arguments (*args, **kwargs)
  • Lambda functions
  • Functions as first-class objects
  • Closures and decorators

  • Try, except, finally blocks
  • Raising custom exceptions
  • Exception hierarchy

  • Reading and writing text files
  • Working with CSV files
  • Using context managers

  • Importing standard library modules
  • Creating custom modules
  • Structuring packages
  • Module namespaces

  • Classes and objects
  • Instance attributes and methods
  • The `__init__` method

  • Inheritance and polymorphism
  • Method overriding
  • Encapsulation and private attributes
  • Static and class methods

  • Creating iterators with `__iter__` and `__next__`
  • Generator functions and yield
  • Generator expressions

  • Syntax and use cases
  • Nested comprehensions
  • Conditional comprehensions
  • Performance considerations

  • Writing and applying decorators
  • Decorator chaining
  • Parameterized decorators

  • Using the `re` module
  • Common regex patterns (e.g., email validation)
  • Regex compilation and flags

  • Introduction to REST APIs
  • Using the `requests` library
  • Handling JSON responses
  • Error handling in API calls

  • Threading basics and `threading` module
  • Thread synchronization
  • Thread safety concerns

  • Multiprocessing vs. threading
  • Using the `multiprocessing` module
  • Process pools and inter-process communication
  • Managing CPU-bound tasks

  • Setting up a Flask environment
  • Creating routes and HTTP methods
  • Flask application structure

  • Dynamic URLs and route parameters
  • Handling GET, POST, and other methods
  • URL building with `url_for`
  • Custom route converters

  • Jinja2 template basics
  • Template inheritance
  • Filters and custom filters
  • Rendering dynamic data

  • Handling forms with Flask-WTF
  • Form validation
  • CSRF protection

  • Organizing Flask apps with blueprints
  • Modularizing routes and views
  • Blueprint registration

  • Building RESTful APIs with Flask-RESTful
  • Resource classes and routing
  • Request parsing and validation
  • API versioning

  • Implementing user login/logout
  • Password hashing with Bcrypt
  • Session management

  • Protecting against XSS and CSRF
  • Secure configuration settings
  • Implementing HTTPS
  • Input sanitization

  • Custom error pages
  • Handling HTTP exceptions
  • Logging errors with `logging`

  • Django architecture: MTV model
  • Setting up a Django project
  • Django apps and structure

  • URL routing and patterns
  • Named URLs and reverse resolution
  • URL namespaces

  • Function-based views
  • Class-based views
  • View mixins
  • Handling HTTP requests

  • Django template language basics
  • Template inheritance
  • Custom template tags and filters

  • Form creation and rendering
  • Form validation
  • Handling file uploads
  • Formsets

  • Built-in authentication system
  • User registration and login
  • Password management
  • Custom user models

  • Setting up DRF
  • Serializers and views
  • Authentication and permissions
  • Viewsets and routers

  • Understanding middleware
  • Writing custom middleware
  • Middleware for logging and authentication

  • Using built-in signals
  • Creating custom signals
  • Signal handling for decoupled logic

  • Caching basics with `cache` framework
  • In-memory caching with Redis
  • Cache invalidation strategies

  • Introduction to `asyncio`
  • Async/await syntax
  • Using `aiohttp` for async HTTP requests

  • Setting up Celery with Flask/Django
  • Creating and managing tasks
  • Task scheduling and retries

  • Unit testing with `unittest`
  • Using `pytest` for testing
  • Mocking and patching
  • Test coverage analysis

  • Python `logging` module
  • Configuring log levels and formats
  • Logging to files and external services
  • Structured logging with Loguru

  • Git basics: commits, branches
  • Working with GitHub
  • Resolving merge conflicts

  • Docker images and containers
  • Writing Dockerfiles for Flask/Django
  • Docker Compose for multi-container apps
  • Container orchestration basics

  • Deploying Flask/Django apps to Heroku
  • Configuring Gunicorn for production
  • Setting up Nginx as a reverse proxy
  • Environment variables and configuration

  • Build a backend application (e.g., task manager, API service)
  • Implement REST APIs with Flask or Django
  • Deploy the application to a cloud platform
  • Write unit tests and documentation
  • Present the project

Detailed Course Contnet Of Front-end

  • Overview of frontend development and its role
  • Web browsers and rendering engines
  • Setting up a development environment (VS Code, browser dev tools)
  • Introduction to web standards and accessibility
  • Understanding the role of HTML, CSS, and JavaScript

  • HTML5 syntax and document structure
  • Common tags (headings, paragraphs, links, images)
  • Semantic HTML elements (header, nav, main, footer)
  • Attributes and their applications (id, class, data-*)

  • Lists (ordered, unordered, description)
  • Tables and their semantic use
  • Multimedia elements (audio, video, embed)
  • Meta tags for SEO and browser compatibility

  • Form elements (input, textarea, select, button)
  • Input types (text, email, password, checkbox, radio)
  • Form attributes and client-side validation
  • Accessibility in forms (labels, ARIA)
  • Handling form submissions with HTML

  • CSS syntax and selectors (element, class, ID)
  • Applying styles (inline, internal, external)
  • Box model: margin, padding, border, box-sizing
  • CSS specificity and inheritance

  • Typography: fonts, sizes, line-height, font-family
  • Colors: RGB, HEX, HSL, and opacity
  • Backgrounds: images, gradients, and properties
  • Pseudo-classes and pseudo-elements

  • Display properties: block, inline, inline-block
  • Positioning: static, relative, absolute, fixed, sticky
  • Float and clear for layout
  • CSS units: px, rem, em, vw, vh, %

  • Flexbox model: container and item properties
  • Flex direction, wrap, and flow
  • Aligning and justifying content
  • Responsive layouts with Flexbox
  • Flexbox use cases and best practices

  • Grid container and item properties
  • Grid template columns, rows, and areas
  • Auto-placement and explicit grid placement
  • Combining Grid and Flexbox for layouts
  • Responsive design with CSS Grid

  • Media queries for responsive layouts
  • Mobile-first vs. desktop-first approaches
  • Viewport meta tag and responsive units
  • Responsive images: srcsets and picture element
  • Handling responsive typography

  • Introduction to Sass/SCSS
  • Variables, nesting, and mixins
  • Importing and partials
  • Functions and control directives

  • Introduction to Bootstrap and its utilities
  • Bootstrap grid system and components
  • Customizing Bootstrap with Sass
  • Tailwind CSS: utility-first approach
  • Comparing CSS frameworks

  • CSS custom properties (variables)
  • Advanced selectors: combinators and attribute selectors
  • Transforms and transitions
  • Working with CSS filters and blend modes

  • Variables (var, let, const) and data types
  • Operators (arithmetic, comparison, logical)
  • Functions: declaration, expression, and arrow
  • Scope: global, local, and block
  • Hoisting and variable lifecycle

  • Conditional statements: if, else if, switch
  • Loops: for, while, do-while
  • Loop control: break, continue
  • Ternary operator and short-circuit evaluation

  • Closures and their applications
  • IIFEs (Immediately Invoked Function Expressions)
  • Callback functions and higher-order functions
  • Function binding: call, apply, bind
  • Currying and partial application

  • Selecting elements (querySelector, getElementById)
  • Modifying DOM: attributes, classes, styles
  • Event listeners and event object properties
  • Creating and removing DOM elements
  • Event delegation for performance

  • Arrow functions and lexical this
  • Template literals and tagged templates
  • Destructuring arrays and objects
  • Spread/rest operators and default parameters
  • Modules: import/export syntax

  • Object literals and properties
  • Prototypal inheritance and prototype chain
  • Object.create and constructor functions
  • ES6 classes and inheritance

  • Event loop and call stack
  • Callbacks and callback hell
  • Promises: creation, chaining, error handling
  • Async/await syntax and patterns
  • Fetch API and handling responses

  • Try, catch, and finally blocks
  • Custom error objects and throwing errors
  • Debugging with browser dev tools
  • Error handling in async code

  • Pure functions and immutability
  • Map, filter, and reduce methods
  • Function composition
  • Working with immutable data structures

  • Working with the Web Storage API (localStorage, sessionStorage)
  • Using the History API for navigation
  • Integrating third-party libraries (e.g., Lodash)
  • Canvas API for basic graphics

  • Setting up a React environment with Vite
  • JSX syntax and rendering elements
  • Functional vs. class components
  • Props and prop drilling
  • React project structure and best practices

  • Managing state with useState hook
  • Handling events (click, input, etc.)
  • Controlled vs. uncontrolled components
  • State lifting and callback props

  • useEffect for side effects and cleanup
  • Building custom hooks
  • useContext for global state
  • useReducer for complex state logic
  • useRef for DOM access and persistence

  • Setting up React Router DOM
  • Dynamic routing with route parameters
  • Nested routes and layouts
  • Protected routes with authentication
  • Programmatic navigation with useNavigate

  • Building controlled forms with state
  • Client-side form validation techniques
  • Handling form submissions and resets
  • Using Formik for form management
  • Integrating Yup for schema validation

  • Context API for global state management
  • Redux setup and store configuration
  • Redux Toolkit: slices and reducers
  • Persisting state with Redux Persist
  • Debugging with Redux DevTools

  • Memoization with useMemo and useCallback
  • Preventing re-renders with React.memo
  • Lazy loading components with React.lazy
  • Code splitting with dynamic imports
  • Profiling with React DevTools

  • Container and presentational components
  • Higher-order components (HOCs)
  • Render props pattern
  • Compound components

  • Fetching data with Axios and Fetch
  • Handling loading and error states
  • Using React Query for data fetching
  • Server-side rendering with Next.js

  • ES modules: import/export syntax
  • Introduction to Webpack and Vite
  • Configuring bundlers for React
  • Tree shaking and bundle optimization

  • CSS transitions and keyframes
  • Animating with CSS variables
  • Using animation libraries (e.g., Framer Motion)
  • Performance considerations for animations

  • ARIA roles and attributes
  • Keyboard navigation
  • Screen reader compatibility
  • Testing for accessibility

  • Service workers and caching
  • Web app manifest
  • Making apps installable
  • Offline functionality

  • Unit testing with Jest
  • Testing React components with React Testing Library
  • End-to-end testing with Cypress
  • Mocking APIs and components

  • Git basics: commits, branches, merges
  • Collaborating with GitHub
  • Pull requests and code reviews
  • Git workflows for teams

  • Deploying static sites to Netlify
  • Configuring CI/CD with GitHub Actions
  • Hosting React apps on Vercel
  • Environment variables for frontend apps

  • Build a responsive e-commerce website with React
  • Implement routing, forms, and state management
  • Add animations and accessibility features
  • Deploy the project to Netlify or Vercel
  • Write tests and documentation

Detailed Course Contnet Of Database

  • What is a database? Role in software development
  • Types of databases: Relational vs. Non-relational
  • Database Management Systems (DBMS): MySQL, PostgreSQL, MongoDB, etc.
  • Overview of database architecture and components
  • Lab: Install and set up a DBMS (e.g., MySQL or PostgreSQL)

  • Core concepts: Tables, rows, columns, and keys (primary, foreign)
  • Database schemas and normalization normalized (1NF, 2NF, 3NF)
  • Entity-Relationship (ER) modeling and diagrams
  • Lab: Create an ER diagram for a sample application (e.g., e-commerce system)

  • Introduction to SQL: Structure and syntax
  • Data Definition Language (DDL): CREATE, ALTER, DROP
  • Data Manipulation Language (DML): INSERT, UPDATE, DELETE
  • Basic SELECT queries: Filtering, sorting, and limiting results
  • Lab: Write basic SQL queries to create and manipulate a database

  • Joins: INNER, LEFT, RIGHT, FULL
  • Subqueries and nested queries
  • Aggregations: GROUP BY, HAVING, COUNT, SUM, AVG, etc.
  • Indexes and their impact on query performance
  • Lab: Optimize queries for a sample dataset

  • Designing databases for scalability and performance
  • Handling relationships: One-to-one, one-to-many, many-to-many
  • Practical considerations: Choosing data types, constraints, and defaults
  • Lab: Design a database schema for a real-world application (e.g., task management system)

  • Connecting to databases from programming languages (e.g., Python with SQLAlchemy, Java with JDBC, Node.js with MongoDB)
  • CRUD operations (Create, Read, Update, Delete) in code
  • Object-Relational Mapping (ORM) frameworks: SQLAlchemy, Hibernate, Mongoose
  • Lab: Build a simple application with database integration

  • Introduction to NoSQL: Key-value, document, column-family, graph databases
  • MongoDB basics: Collections, documents, and queries
  • When to use NoSQL vs. relational databases
  • Lab: Create and query a MongoDB database for a sample application

  • Understanding ACID properties
  • Transactions: Commit, rollback, and savepoints
  • Concurrency control: Locks, isolation levels, and deadlocks
  • Lab: Implement transactions in a multi-user application scenario

  • Query optimization techniques
  • Indexing strategies: B-tree, hash, and composite indexes
  • Database caching and connection pooling
  • Analyzing query performance with EXPLAIN plans
  • Lab: Optimize a slow-performing database query

  • Authentication and authorization in databases
  • Securing data: Encryption, hashing, and access control
  • Preventing SQL injection and other vulnerabilities
  • Backup and recovery strategies
  • Lab: Implement user roles and secure a database

  • Overview of cloud-based databases: AWS RDS, Google Cloud SQL, MongoDB Atlas
  • Horizontal vs. vertical scaling
  • Sharding and replication for high availability
  • Lab: Deploy a database to a cloud platform and test scalability

  • Review of key concepts and best practices
  • Capstone project: Design and implement a database-driven application
  • Example: Build a full-stack application (e.g., blog, inventory system)
  • Requirements: Database design, CRUD operations, and basic UI
  • Lab: Present and demo capstone projects

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