Date:23 ‘rd February 2025 (Sunday)
Time: 9:30 AM to 1:00 PM
Venue:
VGLUG Foundation
SRIMAA PRESCHOOL (Gov Recognized)
Landmark: Opposite to BSNL Exchange
Villupuram 605602
Minutes of meeting
Data Analytics with Python Team 1 & 2 (Engineering)
Topics:
- Session 1: Docker demo-Mathusoothanan
- Session 2: Matplotlib continuation – Kanimozhi
Session 1:
Docker demo :
A Docket Demo usually refers to a demonstration of a docket management system, which is commonly used in legal, logistics, or workflow management.
Legal Docket Demo – Showcases how a legal case management system organizes case details, court dates, filings, and legal documents efficiently.
Logistics Docket Demo – Demonstrates how shipment tracking, delivery schedules, and invoicing are managed within a supply chain system.
Project Management Docket Demo – Highlights how tasks, deadlines, and workflow automation are structured for better productivity.
Session 2: Matplotlib continuation:
Basic Plots – Includes line plots, bar charts, scatter plots, and histograms, which are fundamental for data visualization.
Customization – Allows modifying titles, labels, legends, colors, and line styles to enhance clarity and presentation.
Advanced Features – Covers subplots, 3D plotting, and annotations for more complex and detailed visualizations.
Integration – Explores how to use Matplotlib with Pandas for data analysis and Seaborn for statistical visualizations.
Performance Optimization – Focuses on handling large datasets efficiently by using techniques like Agg backend and LineCollection.
Data Analytics with Python Team 1 , Team 2(Arts)
Topics:
Session 1: Matplotlib continuation – Kanimozhi
Session 2: Docker compose – Mathusoothanan
Session 1: Matplotlib continuation
Basic Plots – Includes line plots, bar charts, scatter plots, and histograms, which are fundamental for data visualization.
Customization – Allows modifying titles, labels, legends, colors, and line styles to enhance clarity and presentation.
Advanced Features – Covers subplots, 3D plotting, and annotations for more complex and detailed visualizations.
Integration – Explores how to use Matplotlib with Pandas for data analysis and Seaborn for statistical visualizations.
Performance Optimization – Focuses on handling large datasets efficiently by using techniques like Agg backend and LineCollection
Session 2: Docker compose – Mathusoothanan
Docker Compose is a tool used to define and manage multi-container Docker applications using a simple YAML file (docker-compose.yml).
Definition – It allows you to define services, networks, and volumes in a structured format.
Multi-Container Setup – Enables running multiple containers together, like a web server, database, and cache in a single command.
Commands – Uses docker-compose up to start services and docker-compose down to stop and remove them.
Scaling – Supports scaling services by running multiple instances of a container (docker-compose up –scale).
Environment Management – Simplifies handling environment variables and configurations for different environments (dev, test, prod).
Devops
Topics:
- Session 1: Ansible Continuation – Vignesh
- Session 2: Discussion about WAF
Session 1: Ansible Continuation – Vignesh
Vignesh deepened participants’ understanding of Ansible with:
- Playbook structuring and best practices
- Automating server configurations
- Integration with cloud services
Session 2: Discussion about WAF
A Web Application Firewall (WAF) is a security solution that protects web applications from attacks like SQL injection, cross-site scripting (XSS), and DDoS.
Function – Monitors, filters, and blocks malicious HTTP/S traffic before it reaches the application.
Types – Can be network-based, host-based, or cloud-based for different deployment needs.
Rules & Policies – Uses predefined or custom rules to detect and prevent threats.
Popular WAFs – AWS WAF, Cloudflare WAF, ModSecurity, and Imperva WAF.
Benefits – Enhances security, ensures compliance, and improves application availability.
Arasur Glug
Problem solving using Sudoku
Scanning for Missing Numbers
Check each row, column, and 3×3 grid for missing numbers.
Fill in the obvious missing values.
Elimination Method
If a number appears in a row or column, it cannot appear again in the same row, column, or 3×3 subgrid.
Narrow down possibilities by ruling out numbers that are already placed.
Acknowledgements
A big thanks to all the speakers: Mathusoothanan, kanimozhi, vignesh, dilip for sharing their knowledge. The sessions provided valuable insights and practical learning experiences.
Thanking you
VGLUG Volunteer
VGLUG Foundation 