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Python Course Syllabus

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Python Course Syllabus
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Python is one of the most versatile and powerful programming languages today, widely used in fields such as data science, web development, automation, and machine learning. This course is designed to provide students with a comprehensive understanding of Python, from the basics of programming to advanced concepts. Whether you are a beginner looking to get started in programming or a professional seeking to enhance your skills in bangalore, this course will equip you with the knowledge and tools to master Python effectively. Throughout the python course syllabus in bangalore, you will learn the fundamentals of Python programming, delve into its libraries, and explore real-world applications that showcase its flexibility and capability.

Module 1: Introduction to Full Stack Development with Python
  • Understanding Full Stack Development
  • Frontend vs. Backend vs. Full Stack Development
  • Overview of Python as a Full Stack Language
  • Setting Up the Development Environment
  • Version Control with Git
  • Basic Command-Line Usage
  • Introduction to Web Development Concepts
  • Creating a Simple Hello World Web Application


Module 2: Frontend Development with HTML, CSS, and JavaScript
  • Introduction to HTML
  • Structuring Web Content with HTML Tags
  • Styling Web Pages with CSS
  • CSS Layout Techniques
  • Introduction to JavaScript
  • Variables, Data Types, and Operators in JavaScript
  • DOM Manipulation with JavaScript
  • Building Interactive Web Pages
Module 3: Frontend Frameworks (e.g., React, Angular, or Vue)
  • Overview of Frontend Frameworks
  • Installing and Setting Up a Frontend Framework
  • Building Components and Views
  • State Management in Frontend
  • Routing and Navigation
  • Working with Forms and User Input
  • Styling and Theming
  • Creating Responsive Web Apps
  •  
Module 4: Backend Development with Python
  • Introduction to Backend Development
  • Setting Up a Python Backend Environment
  • Creating and Configuring RESTful APIs
  • Handling HTTP Requests and Responses
  • Working with Databases (SQL and NoSQL)
  • User Authentication and Authorization
  • Error Handling and Logging
  • Testing and Debugging Backend Code

Module 5: Backend Frameworks (e.g., Django, Flask, or FastAPI)
  • Overview of Backend Frameworks
  • Installing and Setting Up a Backend Framework
  • Creating RESTful Endpoints
  • Building Models and Database Schemas
  • User Authentication and Sessions
  • Middleware and Request Processing
  • Unit Testing and Test Automation
  • API Documentation and Versioning
Module 6: Database Design and Management
  • Introduction to Database Systems
  • Relational Database Design (SQL)
  • NoSQL Database Concepts
  • Data Modeling and Schema Design
  • Database Operations (CRUD)
  • Querying and Indexing
  • Transactions and ACID Properties
  • Database Security and Backup Strategies
  •  
Module 7: Frontend-Backend Communication
  • RESTful API Design Principles
  • Consuming APIs in Frontend Applications
  • AJAX and Fetch API
  • Handling API Responses
  • Authentication and Authorization in API Calls
  • WebSocket Communication
  • Real-time Updates in Web Apps
  • Handling Cross-Origin Resource Sharing (CORS)
Module 8: User Experience (UX) and User Interface (UI) Design
  • Principles of UX and UI Design
  • User-Centered Design Process
  • Wireframing and Prototyping
  • Designing for Accessibility
  • Responsive Web Design
  • Design Tools (e.g., Figma, Sketch)
  • Implementing UI Designs in Web Apps
  • User Testing and Iteration

    Module 9: Deployment and DevOps
  • Deployment Strategies (e.g., Heroku, AWS, or Azure)
  • Continuous Integration and Continuous Deployment (CI/CD)
  • Version Control in Production Environments
  • Monitoring and Logging in Production
  • Scaling Web Applications
  • Security Best Practices
  • Backup and Disaster Recovery
  • Performance Optimization
 
Module 10: Web Security
  • Common Web Security Threats
  • Cross-Site Scripting (XSS) and Cross-Site Request Forgery (CSRF)
  • SQL Injection and NoSQL Injection
  • Authentication and Session Management Security
  • Securing APIs and Data
  • HTTPS and SSL/TLS
  • Security Testing and Vulnerability Scanning
  • Compliance and Privacy Regulations (e.g., GDPR)

Module 11: Advanced Topics and Specializations
  • Serverless Computing (e.g., AWS Lambda, Azure Functions)
  • GraphQL and Alternative API Technologies
  • Microservices Architecture
  • Machine Learning Integration
  • Progressive Web Apps (PWAs)
  • Internet of Things (IoT) Integration
  • Blockchain and Cryptocurrency Integration
  • Custom Specialization Based on Student Interests

Module 12: Final Project and Portfolio
  • Project Planning and Ideation
  • Full Stack Application Development
  • Documentation and Code Review
  • Testing and Quality Assurance
  • Deployment to Production
  • Presentation and Demo
  • Building an Online Portfolio
  • Career and Job Search Guidance
 

Conclusion

Upon completing this Python course in Bangalore at Ascent Software, students will have gained a solid foundation in Python programming, along with hands-on experience in applying its concepts to solve real-world problems. You will be equipped with essential skills such as data manipulation, automation, and building web applications, giving you the confidence to work on both individual projects and collaborative software development. Python’s versatility will empower you to explore various fields like data science, machine learning, and more. By the end of this course, you’ll be well-prepared to take on advanced challenges in Python or pursue further specialization to build a rewarding career in technology.

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