Participants in the #CottrellScholars Collaborative project Enhancing Science Courses by Integrating Python (ESCIP) have a new paper in Nature Computational Science highlighting their activities and plans. Coauthors include Cottrell Scholar 2019?Christina Vizcarra, CS 2022 Ryan Trainor, Ashley Ringer McDonald, Chris T. Richardson, CS 2021 Davit Potoyan, Jessica A. Nash, CS 2020 Britt Lundgren, CS 2017?Tyler Luchko, Glen M. Hocky, CS 2019 Jay Foley, CS 2015 Tim Atherton, and CS 2018 Grace Stokes.
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https://lnkd.in/eJEVciyx a complete introduction to the field of computational physics, with examples and exercises in the Python programming language.
Computational Physics with Python
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I'm diving into a new project focused on the way upper secondary school students learn physics. ?? I'm reaching out to gather some valuable advice and insights. In this upcoming content series, we'll be harnessing the power of Python to tackle physics assignments. ?? By integrating Python programming into our curriculum, we're not only simplifying complex physics problems but also empowering students to master both physics and Python simultaneously. ?? This a sample lesson, what do you think? Do you have any suggestions for us? https://lnkd.in/eh84MwcT From calculating momentum to simulating collisions, our goal is to provide students with hands-on experience and practical skills that go beyond traditional textbook learning. ?? With Python, students can visualize concepts, experiment with different scenarios, and gain a deeper understanding of the underlying principles of physics. ?? #PhysicsEducation #Python #Programming #STEMEducation #ScienceAndTechnology #EdTech #CobieAI #LearningIsFun #SecondarySchool #Physics #Coding #STEM
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I’m thrilled to announce that I’ve earned a new Badge: 212 - Scientific Programming with Python! ?? As a high-energy theoretical physics PhD student, Python has been an invaluable tool in my research and studies. #PythonProgramming #ScientificProgramming #PhDLife #Physics
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https://lnkd.in/eJEVciyx a complete introduction to the field of #computational #physics, with examples and exercises in the #Python #programming language.?
Computational Physics with Python
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?? Excited to share my latest project on GitHub I did last semester: Numerical Methods! ?? ?? Project Overview: I've developed a comprehensive repository focused on Numerical Methods, a fundamental area in applied mathematics and computer science. This project includes a variety of algorithms that are essential for solving numerical problems, such as: -Root Finding Algorithms: 1-Bisection Method 2-False Position Method 3-Simple Fixed Point Method 4-Newton Method 5-Secant Method -Linear Algebra Solutions: 1-Gauss Elimination 2-LU Decomposition 3-Cramer’s Rule 4-Gauss-Jordan Elimination -Technologies used: Python Tkinter ?? GitHub Repository: https://lnkd.in/dMzBYH3D Thank you for your support and happy coding! ?? #NumericalMethods #Python #OpenSource #GitHub #ComputationalMath #DataScience #Engineering #Mathematics
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I’ve always dreamed of seeing my name on a website, and today, that dream has come true! ?? I'm proud to share my research on "Efficient Electrochemical Voltammetry using Python with IO Rodeo" at the upcoming UWM Undergraduate symposium. This project has been a highlight of my year, and I want to express my gratitude to University of Wisconsin-Milwaukee and for their support! Under the guidance of Dr. Woo Jin Chang, I explored how Python programming can enhance voltammetry experiments with the IO Rodeo Potentiostat. Using Python, we achieved real-time data acquisition, precise experimental control, and insightful data analysis. Highlights: ?? Conducting potential scans and analyzing electrochemical behavior. ?? Processing and visualizing data using Python's capabilities. ?? Creating clear plots of current versus potential with Matplotlib. I've learned so much through this project and am excited to share my findings. Join me at the symposium to learn more about this innovative approach! For more information visit - https://lnkd.in/gBGUnmiQ #Electrochemistry #PythonProgramming #IORodeo #ResearchInnovation #Symposium #DataAnalysis #UWM
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?? Revolutionize the Way You Learn Physics with Python! ?? ?? https://python4physics.in/ ?? ?? Python4Physics is your gateway to combining the power of coding with the elegance of physics. Whether you're a complete beginner or an advanced learner, we offer tools and resources to elevate your skills. Explore computational physics like never before! ?? What Awaits You: Interactive Python Tutorials: Master coding simulations, equations, and problem-solving techniques—all with Python! Real-World Applications: Solve practical physics problems, from classical mechanics to quantum theory. Visual Simulations: Bring physics to life! Model systems like projectile motion, electric fields, planetary orbits, and more—all in just a few lines of code. Hands-On Projects: Boost your coding and physics knowledge with projects designed for all skill levels, complete with detailed explanations. Resources for Everyone: Whether you're a student, educator, or hobbyist, we offer easy-to-follow guides, exercises, and projects tailored just for you. ?? Why Choose Python4Physics? For Students: Supercharge your coding and physics expertise. For Educators: Access classroom-ready resources that engage students with interactive, hands-on learning. For Enthusiasts: Dive into the fascinating intersection of science and programming. ? Take Your Learning to the Next Level! ?? Visit https://python4physics.in/ and embark on your coding journey today! #LearnWithPython #PhysicsAndCode #STEMEducation #Python4Physics #PhysicsSimulations #DataScience #ComputationalPhysics
Computational Physics with Python
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?? Exciting News! ?? I am thrilled to share that I have successfully completed Stanford University's Code in Place program and received my Certificate of Completion! ?? I applied and got selected for this program, which ran from April 22 to June 16, 2024. Although this program was targeted towards complete beginners in programming or the Python language, I applied in hopes of enhancing my problem-solving skills in Computer Science. This turned out to be incredibly fruitful, as I was presented with problems that required critical thinking and provided with amazing theories on general problem-solving approaches in programming. I had an amazing experience working on various projects and creating some cool graphics with Karel the Robot. One of my projects was creating an Indian flag with Python, using the graphics library https://lnkd.in/gt3VDjDJ A big thank you to Chris Piech and the entire teaching team for this rewarding and inspiring journey. Looking forward to applying these new skills and knowledge to future projects and continuing my growth in the field of technology! ?? #StanfordCodeInPlace #Coding #Programming #ContinuousLearning #TechJourney #Python #Graphics #ProblemSolving
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Our OmicsLogic Multi-Omics Research Program has a proven track record of fostering success. ?? A testament to this is our student, Laura, who achieved a milestone by working on a machine-learning research project. For those keen on embarking on a similar path of research excellence, we recommend enrolling in our program! ?? To get started in the program, visit: https://lnkd.in/dZs5uTPu #Python #Bioinformatics #DataScience #DataVisualization #DataMining #Regression #MachineLearning #Programming #UnsupervisedML #SupervisedML #FeatureSelection #DeepLearning #Clustering #Classification #Coding #Biology #BiomedicalScience #Research #PhD #Opportunities #Projects #Networking #GitHub #CodingChallenge #Biotechnology
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Hi, I recently completed the Coursera course "Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python." This course is an excellent opportunity to improve your understanding of numerical methods in mathematical modeling, particularly in the context of wave structures. I highly recommend it to anyone passionate about numerical simulations and looking to enhance their skills in this area. This course is based on the book "Computational Seismology: A Practical Introduction" by Prof. Heiner Igel from Ludwig Maximilian University of Munich, Germany. A huge thank you to Prof. Heiner Igel and his team for creating such a comprehensive and insightful course! #NumericalMethods #Python #Coursera #Learning #Seismology #Physics #plasmasimulations #pde #ionosphere #LMU
Completion Certificate for Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
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