what is the formula for non linear regression?

there isn't one

but in this post you will see both how to use "curve_fit" and how to make your own regression engine with a least squares objective function and a scipy optimizer

tomorrow

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Getting started with FEOS, the framework for Equation of state by iit/univ Stuttgart and eth/zurich

🌟 Exploring FEOS: The State-of-the-Art Equation of State Framework by IIT Stuttgart and ETH Zurich 🌟 Hey there, fellow science enthusiasts! 👋 Are you ready to dive into the captivating world of equation of state frameworks? Well, hold onto your lab coats because today, we're exploring FEOS – the cutting-edge framework developed by the brilliant minds at IIT Stuttgart and ETH Zurich! 🚀 ### Unraveling the Mysteries of FEOS 🔍 Equation of state (EOS) plays a pivotal role in various scientific disciplines, ranging from physics and chemistry to material science and engineering. It's the cornerstone for understanding the thermodynamic properties of matter under different conditions. And when it comes to precision and reliability, FEOS stands tall among its peers. 📏 ### The Powerhouse Collaboration: IIT Stuttgart & ETH Zurich 🤝 FEOS is not just another run-of-the-mill framework; it's the result of a powerhouse collaboration between the renowned institutions – IIT ...

help how do i python???

I'd be glad to help you get started with Python using Google Colab! **Python for Beginners:** Python is a powerful and versatile programming language known for its readability and beginner-friendliness. Here's a roadmap to get you on your Python journey: 1. **Set Up Colab:** - Go to [https://colab.research.google.com/](https://colab.research.google.com/). - No installation is required! You'll get a free virtual machine with Python pre-installed. 2. **Explore the Interface:** - Familiarize yourself with the Colab interface. There are notebooks (Python files), code cells, and an output area where you'll see results. 3. **Write Your First Code:** - In a new code cell, type `print("Hello, world!")` and press `Shift` + `Enter` (or click the "Run" button) to execute it. You'll see "Hello, world!" printed in the output area. Congratulations, you've written your first Python program! 4. **Learn the Basics:** - Colab notebook...

creating numerical arrays with logic

**Title: Navigating Numerical Spaces with NumPy: arange vs linspace vs logspace** When it comes to generating numerical sequences in Python, NumPy offers a plethora of options, each tailored to specific needs. Among these, `arange`, `linspace`, and `logspace` stand out as versatile tools for crafting arrays. Let’s embark on a journey through these functions, exploring their nuances and applications! 🚀 ### The Basics: arange NumPy’s `arange` function is akin to Python’s built-in `range`, but with the added capability of generating arrays with non-integer steps. It’s your go-to tool for creating sequences with regular spacing. ```python import numpy as np # Syntax: np.arange(start, stop, step) arr = np.arange(0, 10, 2) print(arr) # Output: [0 2 4 6 8] ``` think of it as points in an closed/open interval [a,b) with step s between each point 🧩 **Use Case**: When you need control over the step size and want a compact syntax. ### The Uniform Choice: linspace `linspace` divides...

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