Open qsourav opened 3 months ago
pulsar17
commented
3 months ago Hi @qsourav, thanks for proposing this!
In the past, it has been difficult to organize hybrid events due to lack of resources. If we do do one in the future, someone will definitely reach out to you.
qsourav
commented
3 months ago Hey @pulsar17, thank you very much for your kind response. I understood the same. Let’s catch up if you are planning to attend PyCon India event this September.
pulsar17
commented
3 months ago Sure! A bunch of us from PyDelhi are attending.
Best Ishaan Arora
A man’s not dead while his name is still spoken.
-------- Original Message -------- On 07/08/24 7:50 pm, qsourav wrote:
Hey @.***(https://github.com/pulsar17), thank you very much for your kind response. I understood the same. Let’s catch up if you are planning to attend PyCon India event this September.
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>
Title
Worried of slow pandas with large-scale Data Analysis? Embrace FireDucks!
Describe your Talk
In this talk, I will introduce FireDucks, a revolutionary compiler-accelerated DataFrame Library for Python that seamlessly integrates with the pandas API. It offers high performance (even on CPU), high compatibility with pandas, sustainability, cost-effectiveness, and reliability, making it an ideal choice for large-scale data analysis using pandas.
Key features of FireDucks include:
Agenda:
Pre-requisites & reading material
Basic knowhow of pandas will be fine.
Time required for the talk
30-40 mins
Link to slides/demos
https://fireducks-dev.github.io/files/20240716_FireDucksIntro_AustinPython.pdf
About you
Sourav has 11+ years of professional experience at NEC Corporation (based in Tokyo, Japan) in the diverse fields of High-Performance Computing, Distributed Programming, Compiler Design, and Data Science. Currently, his team at NEC R&D Lab, Japan, is researching various data processing-related algorithms. Blending the mixture of different niche technologies related to compiler framework, high-performance computing, and multi-threaded programming, they have developed a Python library named FireDucks with highly compatible pandas APIs for DataFrame-related operations. In his previous engagements, he has worked in research and development of performance-critical AI and Big Data solutions, optimization of several legacy applications related to weather prediction, earth-quake simulation, etc., written in C++ and Fortran.
Availability
any day should work for me
Any comments
I am based in Tokyo, Japan. So, if there is an online or hybrid meetup session sometime, I can present my talk.