Paul Cochrane’s Post

The Oliveira Lab is hosting the Python for Bioengineers Workshop 2.0 as part of Oliveira Outreach and now in its second year. This one-day, hybrid workshop introduces participants to applying Python to biological data through hands-on sessions. No prior programming experience is required. Open to all, with a focus on undergraduate researchers in biomedical and related fields. Highlights: • Intro to Python in biological research • Hands-on coding with biological data • Guest speaker Dr. Tianqi Song • Talks from Oliveira Lab researchers • Networking with Dr. Samuel Oliveira and the lab • Exposure to research at the Joint School of Nanoscience & Nanoengineering (JSNN) 📅 April 11, 2026 🌐 Hybrid format (virtual + limited in-person) 📍 Joint School of Nanoscience and Nanoengineering , Greensboro, NC 🔗 Register: https://lnkd.in/eQDQVe-t Lunch provided for in-person attendees. Spots are limited. Read more about the workshop: https://lnkd.in/eNxryWQb #Python #Bioengineering #STEM #Workshops

🌍 From Equations to Real Simulations Physics becomes powerful when you can see it, simulate it, and control it. That’s exactly what Python in Physics: Model, Simulate, Visualize delivers. 📘 A hands-on guide that transforms: • Equations → Models • Models → Simulations • Simulations → Visual Insights Perfect for: 🎓 Students 🔬 Researchers ⚙ Engineers 💻 Python learners https://lnkd.in/gSBdVTKN   🚀 Don’t just study physics — experience it with Python. Get the book today and start modeling the universe.

This post discusses the convergence of lifespan, immortality, and aging through innovative research utilizing Python programming. Recent studies illustrate how computational models can elucidate the complexities associated with aging and provide insights into mechanisms that could potentially extend lifespan. By employing Python for data analysis and simulation, researchers are enhancing their understanding of the biological processes underlying aging and exploring prospective interventions. This field represents an intriguing intersection of technology and biology, challenging conventional notions of life and longevity. Read more: https://lnkd.in/ewEx5rpr #LifespanResearch #AgingScience #ComputationalBiology #PythonInResearch #LongevityStudies

Visualizing Linear Operators and Matrix Algebra with Python & Manim 🌀 As a researcher specializing in Abstract Algebra, I am fascinated by how algebraic structures can be represented geometrically. While this visualization illustrates system behavior, my primary interest lies in the underlying Linear Algebra and the properties of Linear Operators. In this project, I used Python and the Manim library to visualize the action of matrix exponential maps and eigenvalue decompositions. It's a study of how the algebraic properties of a matrix—its spectrum and structure—dictate the geometry of its transformations. Focus Areas: Linear Algebra & Operator Theory. Matrix Exponentials and their algebraic properties. Computational Mathematics using Python. I am currently a Master's student at Yarmouk University with a deep interest in Abstract Algebra and Ring Theory. I look forward to connecting with fellow algebraists and researchers in the field! #AbstractAlgebra #RingTheory #LinearAlgebra #Mathematics #Python #Manim #YarmoukUniversity #IbrahimSyam #AlgebraicStructures

Bridging the gap between mathematics and programming is one of the most powerful things we can do for students today. usingMaths.com has published a fantastic free tutorial that teaches senior secondary students how to solve cubic polynomial equations in Python — and then animate an object moving along the curve using Turtle graphics. Here’s what students learn: • The mathematics of third-degree polynomial equations (y = ax³ + bx² + cx + d) • How to derive coefficients from maximum and minimum turning points using calculus • How to implement a Python polynomial solver from scratch • How to build a visual animation that brings the equation to life This is exactly the kind of applied, project-based learning that builds both mathematical rigour and computational thinking — skills that are increasingly critical across STEM fields, data science, machine learning, and software engineering. For educators designing cross-curricular programmes, or students looking to go beyond the textbook, this is a resource worth bookmarking. 🔗 https://lnkd.in/eEvRJ9wk #MathsEducation #Python #STEM #ComputationalThinking #SeniorSecondary #EdTech #CodingEducation

When will I ever use this Math in real life?📐 As a CS and Math student, I used to hear this a lot. But as I dive deeper into Python, I’ve realized that Math isn’t just a subject—it’s the source code of the universe. Lately, I’ve been using Python to automate complex trigonometric and probability problems from my A-Level past papers. The realization? Programming is just Math that does something. Whether it’s game physics or AI algorithms, the logic I’m learning in 9709 Math is the same logic I’m using to build functional scripts. Never skip the fundamentals. The "boring" stuff is what builds the most exciting tech. 🚀 #PythonProgramming #Mathematics #ALevels #CodingFundamentals #StemEducation

📚 Introduction to Scientific Programming with Python   🔹 Open-access — Follow us for more learning material   🔗 Link: https://lnkd.in/g2sAb2X2 This open-access book provides a practical introduction to scientific programming using Python, covering core concepts such as variables, loops, data structures, and object-oriented programming. It also explores numerical computation and visualization techniques, making it an excellent resource for students, developers, and engineers looking to build a strong foundation in computational problem-solving. At Krabo Systems, we believe in sharing knowledge that empowers developers and teams to grow without barriers. Follow us for more free resources and insights.  #Python #ScientificProgramming #Programming #SoftwareDevelopment #DataScience #NumericalMethods #Engineering #ComputerScience #Developers #Coding #STEM #OpenSource #Learning #TechEducation #Algorithms #Visualization #Automation #ProblemSolving #Computing #free #science #computerScience #systems #Physics #Chemistry #Biology #books #openAccess #open #book #reading #study #code #math

Dear LinkedIn Research Community, I would greatly appreciate your recommendations for "video lectures, articles, or books" that explain how "Artificial Intelligence and Machine Learning tools" (such as Python, MATLAB, or other ML frameworks) can be integrated into "electrocatalyst development for HER, OER, and broader electrochemistry research". I am particularly interested in learning how AI can be applied to "design, screening, and performance prediction of electrocatalysts", as I believe these skills will significantly strengthen my future academic and research work in "electrocatalysis and energy conversion". Any guidance, learning resources, or personal experiences would be highly valuable. Thank you in advance for your support. #ArtificialIntelligence #MachineLearning #Electrocatalysis #Electrochemistry #HydrogenEvolutionReaction #OxygenEvolutionReaction #CleanEnergy #MaterialsScience #Python #MATLAB #ResearchCommunity #AcademicResearch

📊 Python + Mathematics = Powerful Combo Using libraries like SymPy, you can solve complex mathematical expressions easily. 👉 Symbolic computation 👉 Integration 👉 Advanced math automation 💡 Python sirf coding nahi… research aur engineering ka tool bhi hai. 🚀 Learn tools → Build powerful projects #Python #Sympy #Coding #Developers #Math #Tech

TU Delft OPEN Publishing is proud to announce the publication of "Engineering Signal Analysis: From Fourier to Filtering: Exercises" by Max Mulder, Rowenna Wijlens, and Christian Tiberius. This companion volume to the Theory textbook offers hundreds of exercises, complete with answers and worked examples, to support students in mastering signal analysis. Covering topics such as Fourier series and transforms, sampling, discrete Fourier transform, spectral estimation, and filtering, it provides a hands-on pathway from fundamental concepts to practical application. With included Python scripts for computational spectral analysis, this book is an essential resource for students and educators aiming to deepen their understanding of signals in both time and frequency domains. Check it out here: https://lnkd.in/e_BUzWmX #Engineering #SignalProcessing #NewBook #STEM #ElectricalEngineering #Education #Python