SciPy 2023

Gajendra Deshpande

I am Gajendra Deshpande and I am using Python since 2013 for academic research and development activities. I develop prototypes and applications in Natural Language Processing, Machine Learning, Cyber Security, and Web applications using Python and its ecosystem. I am working as a faculty of Computer Science and run a start-up in cyber security. I am an active member of the PyCon India community and served as program committee lead for PyCon India 2021. I have presented approximately 80 talks, 20 Workshops, and 15 posters across the globe at prestigious conferences like PyData Global, PyCon APAC, PyCon AU, EuroPython, DjangoCon US and Europe, SciPy India, SciPy USA, PyCon USA, JuliaCon, FOSDEM, and several other Python and FOSS conferences. I have helped Python and FOSS Conferences by reviewing the talk and tutorial proposals, mentoring first-time speakers, participating in the discussions, and organizing the events.

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Sessions

07-14
16:40
55min
[BoF Room 104] Future of Python Programming Language in the Artificial Intelligence Era
Gajendra Deshpande

Here the aim of the panel would be to throw light on role code assistants like Co-Pilot and tools like ChatGPT and how they revolutionize coding careers. Also, provide insights that help young and budding programmers to prepare themselves for futuristic careers. Also, try to find answers to some hypothetical questions like can AI replace human programmers? Can it add or suggest new features to the language itself? and problems people may face while developing enterprise-grade applications with AI.

Birds of a Feather (BoF)
Classroom 104
0min
Anti-Patterns: How not to do things in Python
Gajendra Deshpande

Design patterns offer general solutions to common problems and it is standard practice to include them in software development. On the other hand, Anti-Pattern is a complement to Design patterns. While design patterns focus on how to do things by following best practices, Anti-patterns focus on how not to do things. In this talk, I will speak about anti-patterns in Python and their worst practices. The talks follow the problem-solution approach. In this talk, I will explain anti-patterns related to Correctness, maintainability, Readability, security, and performance and possible solution to avoid them in the code.

Machine Learning, Data Science, and Ethics in AI