Welcome to our exciting Python programming event, where we dive deep into the world of Modules and Object-Oriented Programming (OOPs). Join us for an enlightening journey through the core concepts that make Python a versatile and powerful programming language.
Event Highlights:
- Unveiling Modules (main): Discover how modules in Python enable code organization and reusability. Learn to create your own modules and make the most of the Python standard library.
- Constructors (init): Delve into the heart of object-oriented programming with constructors. Understand how the
__init__method initializes objects and sets the stage for dynamic interactions. - Class Attribute vs. Instance Attribute: Explore the distinction between class and instance attributes. Learn when to use each type of attribute, and how they shape the behavior of your Python classes.
Why Attend:
- Gain a deeper understanding of Python’s modular architecture.
- Master the art of object-oriented programming for more structured code.
- Learn the nuances of attributes to design flexible and efficient classes.
Who Should Attend:
- Python enthusiasts looking to enhance their programming skills.
- Developers are eager to learn about modules and OOPs concepts.
- Anyone seeking to write cleaner, more maintainable Python code.
Don’t miss out on this opportunity to expand your Python knowledge and connect with fellow enthusiasts. Join us for an event that promises to elevate your programming game!
See you there!
Organizer
About Me
I am an aspiring Ph.D. scholar[2019-till date] in the School of Computer science and Engineering, Bennett University. I received my Bachelor’s Degree in Computer Science and Engineering from JSS Academy of Technical Education, Noida, and a Master’s in Information Technology from Delhi Technological University(formerly DTU), Delhi. My research lies at the intersection of Computer Vision, Deep Learning, and Deep Reinforcement Learning, Image Segmentation. I have worked towards building adaptive neural networks for handling spatially and temporally varying tasks. My recent work focused on video summarization using the encoder, decoder-based architecture to create an end-to-end reinforcement learning framework by applying a policy gradient approach.
Experience
- ML Architect [Mobile Programming LLC], 2022-till date
- Assistant Professor [PSIT Kanpur], 2017-2019
- Principal Research Scientist [IIT Delhi], 2016-2017
- Faculty [Delhi Technological University], 2013-2016