Sourav Saha
@SouravSaha97589
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A software professional at NEC with 11+ years of experience in HPC, Data Science, AI/ML, Distributed Programming etc. Co-developer of FireDucks.
Kanagawa-ken, Japan
Joined December 2023
📢 Experience speedup from pandas with compiler technology!! 👇 . - Common sub-expression elimination. - Dead-code elimination. - and many more. 📓 #pandas #DataAnalysis #compiler #optimization #fireducks.
medium.com
In general, a Data Scientist spends significant efforts in transforming the raw data into a more digestible format before training an AI…
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RT @itskpflow: What if Ethan Hunt had to fight Big Data instead of bad guys? In my blog, I imagined a world where #MissionImpossible meets….
medium.com
Ethan Hunt, the legendary IMF (Impossible Mission Forces) agent, is back but this time, his mission isn’t about hanging off cliffs or…
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RT @kdnuggets: Swiftly process your data without hassle with Pandas-like APIs.
kdnuggets.com
Swiftly process your data without hassle with Pandas-like APIs.
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🗣️Long wait is finally over. Speedup 🚀 your pandas 🐼 workload on your🍎 silicon using: $ pip install fireducks
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RT @gngroupofficial: Our faculty had an insightful experience at the FireDucks workshop, hosted by NEC Japan & Edulateral Foundation on 20/….
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RT @AVITChennai: A blazing success at 'Fireducks by NEC'! Today, we hosted an insightful tech session at AVIT with Mr. Kazuhisa Ishizaka, M….
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RT @NVIDIAJapan: これらの課題解決のヒントを探るセッションが、#GTC25 と併催の Japan AI Day にて開催。. 📅 3 月 21 日 (金) 13 時から.📌 NEC @NEC_jp_pr の荒木氏が、Pandas の高速化を実現する FireD….
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RT @akshay_pachaar: Make Pandas/Seaborn 100x faster!. FireDucks now also works third-party libraries like Seaborn. For starters, while Pan….
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RT @svpino: Pandas is the world's most popular data library, but it's slow, and many libraries have significantly improved over it. But pe….
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RT @devrelmegha: The AI & Data Science Blogathon by @fireducksdev & #DevRelSquad is LIVE!. 📅 4th - 31st March | 🌍 Remote. ✅ Cash prizes for….
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RT @pyconfhyd: 💻Sourav Saha's (@SouravSaha97589) workshop on "Unveiling the Lazy Execution Benefit of FireDucks – A Multithreaded DataFrame….
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RT @pyconfhyd: Looking to boost your data processing? Join Sourav Saha at #PyConfHyd2025 to learn how lazy execution and JIT-powered DataFr….
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RT @akshay_pachaar: 100x faster alternative to Pandas!. (It can even beat GPU dataframe libraries). While Pandas is the most popular DataFr….
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RT @svpino: Pandas is dying a slow, painful death. It's the world's most popular data library, but it's slow, and many libraries have sign….
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🔸 Reduction in execution time: 203s -> 4.24s. 🔸 Reduction in runtime memory consumption: 56 GB -> 3.3 GB. 👉 Does it sound promising? Check it out for more details!. #FireDucks #pandas #lazyexecution #queryoptimization #dataprocessing.
fireducks-dev.github.io
In the previous article, we have talked about how FireDucks lazy-execution can take care of the caching for the intermediate results in order to avoid recomputation of an expensive operation. In...
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I will be in the Bangalore during the second week of January 2025. Any technical meetup during this time? @__bangpypers__ @PythonPune @chennaipy.
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RT @handikawisnu: I'm thoroughly amazed by FireDucks I wrote a post about it:. Everyone using Python and Pandas for….
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RT @fireducksdev: We have released #FireDucks 1.0.11 with removing fallbacks and improving optimization.
fireducks-dev.github.io
FireDucks Release Note
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RT @akshay_pachaar: Run pandas 20-30x faster with just one change!. Remove this:.↳ import pandas as pd. Add this:.↳ import fireducks.pandas….
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