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Training Scientists
United States
เข้าร่วมเมื่อ 3 มิ.ย. 2024
Training Scientists, led by Dr. Maurice Maurer, a computational physics Ph.D. from the Technical University of Munich, focuses on Python IDEs ideal for scientific and engineering applications. Dr. Maurer, with experience at UCLA and the Max Planck Institute for Plasma Physics, developed high-performance computing codes like GENE-3D for stellarators and perturbed tokamaks.
Our channel offers beginner-friendly Python IDEs including JupyterLab, Anaconda Cloud, and VS Code, featuring detailed reviews that highlight split-screen views, environment management, and AI assistance. Dr. Maurer's extensive programming background enriches our Python courses, which delve into scientific data analysis and plotting across various scientific domains. We provide both on-demand and interactive blended learning courses. Whether you're starting in Python programming or enhancing your scientific programming skills, our courses will help you master Python for scientific and engineering applications.
Our channel offers beginner-friendly Python IDEs including JupyterLab, Anaconda Cloud, and VS Code, featuring detailed reviews that highlight split-screen views, environment management, and AI assistance. Dr. Maurer's extensive programming background enriches our Python courses, which delve into scientific data analysis and plotting across various scientific domains. We provide both on-demand and interactive blended learning courses. Whether you're starting in Python programming or enhancing your scientific programming skills, our courses will help you master Python for scientific and engineering applications.
Transform 2D Irregular Grid Data to Perfect Visualizations | Interpolate using Python & Claude / AI
Interpolate data from an irregular grid to a regular grid using Python, specifically for creating smooth heat maps from unevenly spaced temperature sensor data. We leverage AI tools to generate and refine interpolation code, addressing common issues such as data holes caused by different interpolation methods, including cubic, linear, and radial basis function (RBF) interpolation. We also explore making the plots interactive using ipywidgets to verify the algorithm on various datasets and optimize performance. Watch to learn how to achieve cleaner visualizations and efficient code for data interpolation.
In this tutorial, you'll learn:
* How to handle irregular grid data
* Converting scattered data points to a regular grid
* Different interpolation methods (linear, cubic, RBF)
* Creating interactive plots with ipywidgets
* Best practices for data visualization
* Troubleshooting common interpolation artifacts
All code and techniques are thoroughly explained with practical examples using real data. Whether you're working with temperature sensors, geographic data, or any scattered measurements, this tutorial will help you create professional visualizations.
▬ Download the project files ▬▬▬▬
filedn.eu/lzX4tkcRu9GhrFVGgO1SbPk/jupyter_notebooks/2d_irregular_grid_interp.zip
▬ Video Chapters ▬▬▬▬
00:00 Introduction to Interpolation
00:21 Setting Up the Problem
00:48 First Attempt with Claude
01:14 Analyzing Initial Results
01:26 Understanding the Interpolation Function
02:11 Implementing the Interpolation
02:56 Addressing Holes in Data
04:14 Exploring Different Interpolation Methods
05:00 Simplifying the Code
05:43 Interactive Plotting and Testing
06:52 Conclusion and Further Learning
▬ Commands used in the video ▬▬▬▬
* numpy.meshgrid()
* scipy.interpolate.griddata()
* numpy.linspace()
* matplotlib.pyplot.contour()
* ipywidgets.interactive()
🖥 Ready to take your Python skills to the next level? Visit our website to explore our comprehensive range of Python courses tailored specifically for scientists and engineers. Dive into our expertly designed modules today and start transforming your scientific research with top-notch programming knowledge. Don't wait - your journey to mastering Python begins here:
training-scientists.com/
💬 Did you enjoy this video? Share your thoughts in the comments below!
✅ Subscribe here:
www.youtube.com/@TrainingScientists?sub_confirmation=1
▬ *Welcome to the official TH-cam Channel of Training Scientists* ▬▬▬▬
Training Scientists is spearheaded by Dr. Maurice Maurer, a computational physics Ph.D. graduate from the Technical University of Munich in 2020. With extensive experience at prestigious institutions like UCLA and the Max Planck Institute for Plasma Physics, Dr. Maurer has developed high-performance computing codes such as GENE-3D, designed for simulating plasma microturbulence in stellarators and perturbed tokamaks. Our channel focuses on Python IDEs suitable for scientific and engineering applications, particularly beneficial for beginners. We provide thorough reviews and comparisons of various Integrated Development Environments (IDEs) including JupyterLab, Anaconda Cloud, VS Code, and others. Learn about their features like split-screen views, environment management, and AI assistance, and explore how AI tools like Anaconda Assistant can optimize your programming experience.
➡️ Dr. Maurer's extensive programming experience, exceeding two decades, and his background in Python for data postprocessing during his master's and Ph.D. projects inform the content of our Python courses. These courses cover scientific data analysis, interpretation, and plotting applicable across various scientific domains. Training Scientists offers both on-demand and blended learning courses. Our on-demand courses allow you to learn at your convenience, while our blended courses provide interactive Zoom tutorials for hands-on experience and real-time problem-solving.
Whether you are starting your Python journey or seeking to deepen your expertise in scientific programming, our channel and courses are your gateway to mastering Python for scientific and engineering applications. Subscribe today and elevate your research and development skills with expert guidance from Dr. Maurice Maurer. Join us to become a proficient Python developer and harness the full potential of your scientific endeavors.
▬ *Follow Training Scientists on social media* ▬▬▬▬
LinkedIn: www.linkedin.com/in/dr-maurice-maurer
Instagram ▶️ dr.mauricemaurer
📍 Dr. Maurice Maurer LLC
777 BRICKELL AVE #500-97534
MIAMI, FL 33131
USA
📬 contact@Training-Scientists.de
📞 +49 15678 448154
▬ *Hashtags* ▬▬▬▬
#TrainingScientists #Python #DataScience #DataVisualization #PythonProgramming #ScientificComputing
In this tutorial, you'll learn:
* How to handle irregular grid data
* Converting scattered data points to a regular grid
* Different interpolation methods (linear, cubic, RBF)
* Creating interactive plots with ipywidgets
* Best practices for data visualization
* Troubleshooting common interpolation artifacts
All code and techniques are thoroughly explained with practical examples using real data. Whether you're working with temperature sensors, geographic data, or any scattered measurements, this tutorial will help you create professional visualizations.
▬ Download the project files ▬▬▬▬
filedn.eu/lzX4tkcRu9GhrFVGgO1SbPk/jupyter_notebooks/2d_irregular_grid_interp.zip
▬ Video Chapters ▬▬▬▬
00:00 Introduction to Interpolation
00:21 Setting Up the Problem
00:48 First Attempt with Claude
01:14 Analyzing Initial Results
01:26 Understanding the Interpolation Function
02:11 Implementing the Interpolation
02:56 Addressing Holes in Data
04:14 Exploring Different Interpolation Methods
05:00 Simplifying the Code
05:43 Interactive Plotting and Testing
06:52 Conclusion and Further Learning
▬ Commands used in the video ▬▬▬▬
* numpy.meshgrid()
* scipy.interpolate.griddata()
* numpy.linspace()
* matplotlib.pyplot.contour()
* ipywidgets.interactive()
🖥 Ready to take your Python skills to the next level? Visit our website to explore our comprehensive range of Python courses tailored specifically for scientists and engineers. Dive into our expertly designed modules today and start transforming your scientific research with top-notch programming knowledge. Don't wait - your journey to mastering Python begins here:
training-scientists.com/
💬 Did you enjoy this video? Share your thoughts in the comments below!
✅ Subscribe here:
www.youtube.com/@TrainingScientists?sub_confirmation=1
▬ *Welcome to the official TH-cam Channel of Training Scientists* ▬▬▬▬
Training Scientists is spearheaded by Dr. Maurice Maurer, a computational physics Ph.D. graduate from the Technical University of Munich in 2020. With extensive experience at prestigious institutions like UCLA and the Max Planck Institute for Plasma Physics, Dr. Maurer has developed high-performance computing codes such as GENE-3D, designed for simulating plasma microturbulence in stellarators and perturbed tokamaks. Our channel focuses on Python IDEs suitable for scientific and engineering applications, particularly beneficial for beginners. We provide thorough reviews and comparisons of various Integrated Development Environments (IDEs) including JupyterLab, Anaconda Cloud, VS Code, and others. Learn about their features like split-screen views, environment management, and AI assistance, and explore how AI tools like Anaconda Assistant can optimize your programming experience.
➡️ Dr. Maurer's extensive programming experience, exceeding two decades, and his background in Python for data postprocessing during his master's and Ph.D. projects inform the content of our Python courses. These courses cover scientific data analysis, interpretation, and plotting applicable across various scientific domains. Training Scientists offers both on-demand and blended learning courses. Our on-demand courses allow you to learn at your convenience, while our blended courses provide interactive Zoom tutorials for hands-on experience and real-time problem-solving.
Whether you are starting your Python journey or seeking to deepen your expertise in scientific programming, our channel and courses are your gateway to mastering Python for scientific and engineering applications. Subscribe today and elevate your research and development skills with expert guidance from Dr. Maurice Maurer. Join us to become a proficient Python developer and harness the full potential of your scientific endeavors.
▬ *Follow Training Scientists on social media* ▬▬▬▬
LinkedIn: www.linkedin.com/in/dr-maurice-maurer
Instagram ▶️ dr.mauricemaurer
📍 Dr. Maurice Maurer LLC
777 BRICKELL AVE #500-97534
MIAMI, FL 33131
USA
📬 contact@Training-Scientists.de
📞 +49 15678 448154
▬ *Hashtags* ▬▬▬▬
#TrainingScientists #Python #DataScience #DataVisualization #PythonProgramming #ScientificComputing
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Nice course. And here a comment for the algorithm.
Thank you for the tutorial!
Btw you've misspelled "artifacts"
I share your perspective. Glad for the efforts of you both
A fool with a tool is just a dangerous fool.
Truer words have never been spoken 😁
I really like the of breaking down few concepts - v.env., dos and donts about dependencies and few more useful tips - which are helping me to navigate through the python with jupyter. Looking forward to learn more in the whole training
Well explained, thanks!
Glad it was helpful!
@50:19 The debugging section saved my sanity! Love how you showed both traditional debugging and using AI tools to solve problems. So practical! 🐛
@1:33:30 "Climb the mountain one step at a time" - great advice on thinking like a programmer. Breaking down problems into smaller parts makes so much sense 🏔
@1:18:22 The NumPy introduction was super clear - especially the memory allocation explanation. Now I understand why it's faster than regular Python lists! 💻
@1:04:50 The virtual environments explanation at 1:04:50 cleared up so much confusion. Great tip about keeping environments as small as possible 🚀
Excellent tutorial, thank you for the video
Nice video
Thank you! I’m glad you enjoyed it!
Thanks for the support to refresh the Python lessons from the past workshops.
mojo for beginners please
Wonderful AI topic to discuss in this video great to watch and follow
Took his course and it was absolutely great and you are great teacher😊
Interesting information
Interesting
I'm glad you found it interesting! What part caught your attention the most?
Ver informative video thanks for sharing this video
Very interesting video thanks for sharing this video
Thank you too!
Amazing
Thank you!
Took this course and found it all very clearly explained, with a good balance between being taught and using the tools you are taught to work things out for yourself (with full support to do so).
Very interesting video ❤🎉🎉
Nice video ❤
Glad you liked it
I got this as an ad... first ad I'm cool with. Nice job👍
Your video is very amazing and unique quality
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This video is incredibly informative and engaging-perfectly explained with clear visuals! It’s a must-watch for anyone wanting to learn more on this topic
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