HRDC Reg. No: 10001512642
Course Duration: 2 Days (14 hours)
Course Overview
The Advanced Python course is designed for experienced developers seeking to master high-level Python programming concepts. This hands-on training covers Python’s class and object model, multiprocessing, multithreading, REST API programming, CGI scripting, programmatic SSH, database connectivity, GUI development with Tkinter, and web application deployment using Flask. Participants will gain real-world expertise through case studies and projects.
Who Should Attend?
This course is ideal for:
Experienced Python Developers – Enhancing expertise in advanced programming.
Software Engineers – Handling complex applications and system integrations.
Web Developers – Expanding skills in advanced web development.
Data Engineers – Optimizing performance and integration using Python.
Why Choose This Course?
HRDC Claimable (Reg. No: 10001512642)
Hands-on learning with practical exercises & case studies
Covers advanced Python features essential for professional developers
Real-world applications using Flask, Tkinter, Paramiko, and SQLAlchemy
Learning Outcomes
By the end of this course, participants will:
Understand Python’s object model and CPython internals (including the GIL).
Implement multiprocessing and multithreading for performance optimization.
Utilize the subprocess module for external program integration.
Develop and integrate REST APIs.
Create CGI scripts for client-server communication.
Perform secure SSH automation using Paramiko.
Connect Python with databases using SQLAlchemy.
Build GUI applications with Tkinter.
Develop and deploy web applications using Flask.
Prerequisites
Strong Python programming fundamentals.
Familiarity with object-oriented programming (OOP).
Basic knowledge of web technologies and databases.
Lab Setup
System Requirements:
4GB RAM, 2 CPU cores (Windows/macOS/Linux)
Software & Network Requirements:
Python 3.x installed
Python libraries: Flask, Paramiko, Tkinter, requests, SQLAlchemy
Web server setup for CGI scripting
Internet access for package installations
Teaching Methodology
Interactive Lectures – In-depth concepts with real-world examples.
Hands-On Labs – Practical coding exercises.
Case Studies – Real-world applications of Python.
Project-Based Learning – A Flask mini-project.
Collaborative Problem-Solving – Group discussions and troubleshooting.
