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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.

Course

4.8 (8084)

Learners

9817

MNC's Expert Trainer

Exp. 15+Yrs.

Upskill with

Internship

What’s included in this Course

6 months duration hands-on practice

Live project training

Interview Preparations

150+ Assignments

Online & Offline Training

500+ Questions for Exercise

Schedule Your Free Trial Class

  8130903525      8130805525

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

History and Features of Python
Python Interpreter and Environment
Python Program Structure
Data Types, Variables, and Operators
Control Statements (If-Else, Loops)
Python Naming Conventions
Python Packages and Access Modifiers

Classes and Objects
Constructors and Types
Inheritance and Polymorphism
Method Overloading and Overriding
Using super() for Parent Class Methods
Abstraction and Encapsulation
Abstract Base Classes and Interfaces

Types of Exceptions
Try-Except Block
Raise and Finally
Custom Exceptions
Exception Propagation
Assertions in Python

Lists, Tuples, and Sets
Dictionaries
Iterators and Generators
Comprehensions
Collections Module (Counter, defaultdict, etc.)

Reading and Writing Files
Working with CSV, JSON, and XML
Context Managers
Object Serialization with Pickle
Working with Binary Files

Introduction to Threads
Thread Life Cycle
Thread Synchronization
Thread Communication
Multiprocessing Module
Asynchronous Programming with asyncio
Deadlocks and Thread Safety

Introduction to Database Connectivity
Connecting with MySQL/PostgreSQL
CRUD Operations with SQLAlchemy
Working with ORM in Python
Connection Pooling and Transactions

Advanced Features in Python 3
Lambda Functions and Map/Filter/Reduce
Decorators and Generators
New Libraries and Modules
Asynchronous Programming Improvements

Introspection in Python
Creating Objects at Runtime
Dynamic Attribute Access
Decorators and Metaclasses
Annotation Processing (Type Hints)

Django Core Concepts
Model-View-Template (MVT) Architecture
Django Models and ORM
Views, URLs, and Templates
Django Admin Interface

Django Architecture
Settings and Configurations
Middleware and URL Routing
Environment Specific Settings

Introduction to REST API
Creating RESTful Endpoints
HTTP Methods (GET, POST, PUT, DELETE)
Consuming and Producing JSON
Exception Handling in REST APIs
Swagger Documentation
Securing REST APIs with JWT

Introduction to Django MVC Pattern
URL Routing and Views
Django Template Engine
Form Handling
Session Management

Introduction to ORM
Django Models and Relationships
Query Optimization and Caching
Migrations and Data Management
Pagination and Sorting

Introduction to Microservices
Monolithic vs Microservices Architecture
Characteristics of Microservices
Microservices Design Patterns
Challenges and Solutions in Microservices

Microservices Communication
Service Discovery with Consul
Load Balancing with Nginx
API Gateway with Python-based Tools
Centralized Configuration
Circuit Breaker with Python Libraries

Introduction to Messaging
Apache Kafka Overview
RabbitMQ with Python
Event-Driven Architecture
Asynchronous Communication in Microservices
Distributed Tracing with OpenTracing

Introduction to Docker
Creating and Running Docker Containers
Dockerizing Python Applications
Kubernetes Basics
Deploying Microservices on Kubernetes
Service Discovery and Load Balancing in Kubernetes

Django Security Basics
Authentication and Authorization
OAuth2 and JWT Authentication
Role-Based Access Control (RBAC)
API Gateway Security
Security Best Practices in Microservices

Unit Testing with unittest
Mocking with unittest.mock
Integration Testing with Django
Test-Driven Development (TDD)
End-to-End Testing with Selenium or Behave
Performance Testing with Locust

Introduction to CI/CD
GitHub Actions and Jenkins for CI/CD
Building and Deploying with pip and virtualenv
Automated Deployment with Docker and Kubernetes
Monitoring with Prometheus and Grafana
Logging with ELK Stack

Deploying Python Applications on AWS
AWS Lambda and Serverless Python
Using S3, RDS, and DynamoDB
Google Cloud and Azure for Python
Multi-Cloud Deployments

Python Memory Management and Garbage Collection
Interpreter Performance Optimization
Reactive Programming with AsyncIO
Concurrency with Async and Await
Python Module System

Building a Full-Stack Python Application
Implementing Microservices with Django
Using Docker and Kubernetes for Deployment
Implementing Security and CI/CD
Final Project Deployment

Python Coding Challenges and Algorithms
Commonly Asked Interview Questions
Resume Preparation for Python Developers
Best Practices for Python Development
Industry Trends and Future Scope of Python

Other Courses You May Be Interested In

At HighTech Solutions Best IT Company & Training Institute, our Placement Assistance Program ensures that our students get placed in top IT companies with attractive salary packages.

Our Alumni Work In-

Entry-Level

0-2 years

💰 ₹3-6 LPA

Mid-Level

2-5 years

💰 ₹6-12 LPA

Senior-Level1

5-10 years

💰 ₹12-18 LPA

Senior-Level2

10-20 years

💰 ₹18-24 LPA

Management-Level

20+ years

💰 ₹25+ LPA

International

Global Opportunities

💰 $80K - $150K per year

Internship Programs

Paid/Unpaid

💰 8k-15k/Month

Freelancing

Effort Basis

💰 Hourly Payments

HighTech Solutions, based in Delhi NCR, offers a variety of IT courses designed to enhance the skills of both beginners and seasoned professionals. While specific salary packages for IT professionals associated with HighTech Solutions are not publicly disclosed, copmleting their industry-recognized training programs can significantly boost your earning potential in the IT sector.

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