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.
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 Julia and their worst practices. The talk follows the problem-solution approach.
Mathematics is a science and one of the most important discoveries of the human race on earth. In our daily life, we use mathematics knowingly and unknowingly. Many of us are unaware that forensic experts use mathematics to solve crime mysteries. In this talk, we will explore how Sherlock Holmes, the famous fictional detective character created by Sir Arthur Conan Doyle uses Mathematics and Julia programming language to solve crime mysteries.