📈 Detect Sharp Peaks & Shot Noise in Analytical Data | SciPy + ipywidgets Tutorial In this subscriber-inspired tutorial, I’ll walk you through how to fine-tune peak detection using SciPy’s find_peaks function along with interactive sliders from ipywidgets. Our goal? To identify and isolate sharp spikes—commonly referred to as shot noise—that often appear due to electronic interference in analytical data. ⸻ 🛠️ What You’ll Learn: • How to apply SciPy’s find_peaks for flexible peak detection • How to build interactive slider widgets using ipywidgets in Jupyter • How to distinguish true signal from noise in real-world data • Techniques applicable to spectroscopy, chromatography, and other analytical tools Whether you’re analyzing sensor output, lab instrument data, or signal-rich datasets, this tutorial gives you practical tools for cleaning and interpreting your results. ⸻ 🔔 Subscribe for more tutorials blending Python, chemistry, and data science—and leave a comment if you’d like to see a topic covered next! #scipy #ipywidgets #peakdetection #shotnoise #analyticaldata #pythondataanalysis