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#datascience

38 posts36 participants6 posts today

🚀 Boost your Python computations on NumPy arrays with @blosc.jit! Let Blosc2's compute engine accelerate your code without changing containers. ⚡

Our benchmarks show significant speed-ups on NumPy arrays, with an extra performance boost on Intel CPUs via MKL/SIMD. For ultimate speed, native Blosc2 containers are still king. 🏎️

Code Gist: gist.github.com/FrancescAlted/

EuroSciPy 2025 Tutorial: github.com/Blosc/EuroSciPy2025

AAS LLC USA: Explain how PI controllers are tuned

uning a PI controller is the process of finding the optimal values for the proportional gain (Kp​) and the integral gain (Ki​) to achieve a desired system response. The goal is to get a fast response without excessive overshoot or instability, while also eliminating any steady-state error. There are several methods for tuning PI controllers, ranging from simple trial-and-error to more systematic, model-based approaches. 1. Manual Tuning (Trial-and-Error) This is a common method, […]

aasllcusa.com/2025/09/21/aas-l

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Deployments and Code Promotion youtu.be/h-oadm6ZUCM #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Reconstruct {shinyMobile} (Part 2) youtu.be/0l3-OZq0mRk #RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: R for Data Science: Data tidying youtu.be/MPCCiw42eLI #RStats

Visit dslc.video for hours of new #DataScience videos every week!

From the @DSLC :rstats:​chives:

:rstats: :python: Fundamentals of Data Visualization: Introduction youtu.be/DeLHpwkLvjY #RStats #PyData #DataViz

:rstats: Probabilistic Machine Learning: An Introduction: Foundations youtu.be/MxdYkiNTGKU #RStats

:rstats: Hands-On Machine Learning with R: K-Nearest Neighbors youtu.be/CWnHRVj2fGI #machineLearning #RStats

Visit dslc.video for hours of new #DataScience videos every week!