Python Application Development Training

Python Basics
• Introduction to Python
• Variables, data types, and operators
• Control structures (if-else, loops)
• Functions and modules

Object-Oriented Programming (OOP) in Python
• Classes and objects
• Inheritance and polymorphism
• Encapsulation and abstraction

Python Data Structures
• Lists, tuples, and dictionaries
• Sets and their operations
• Strings and string manipulation

File Handling in Python
• Reading and writing files
• File modes and exceptions

Python Libraries and Frameworks
• NumPy for scientific computing
• Pandas for data manipulation and analysis
• Matplotlib for data visualization
• Flask or Django for web development

Python Application Development
• Building a command-line application
• Developing a web application using Flask or Django
• Creating a data analysis and visualization tool
• Implementing a machine learning model using Python

Python Deployment and Testing
• Packaging and distributing Python applications
• Unit testing and test-driven development
• Continuous integration and deployment

Who Can Attend:
• Beginners interested in learning Python programming
• Developers looking to expand their skills in application development
• Data analysts and scientists wanting to use Python for data-driven projects
• Web developers aiming to build applications using Python frameworks

1ST BATCH: Tuesday, January 20, 2026 — Friday, January 23, 2026.

2ND BATCH: Tuesday, May 12, 2026 — Friday, May 15, 2026.

3RD BATCH: Tuesday, September 8, 2026 — Friday, September 11, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.