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import matplotlib.pyplot as plt

# Additional lists to store properties at each step
magnetizations = []
energies = []
heat_capacities = []

# Run the simulation
for i in range(num_steps):
    lattice = metropolis_step(lattice)

Vasuji

import numpy as np

# Set parameters
J = 1.0  # Interaction energy
h = 0.0  # External magnetic field
kT = 1.0  # Temperature times Boltzmann's constant
num_steps = 10000  # Number of steps in the simulation
N = 10  # Size of the lattice, N x N

# Initialize lattice with random spins

Vasuji

import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import SerperDevTool

# Define tools
search_tool = SerperDevTool()

# Define agents
theory_agent = Agent(
    role='Theory Agent',

Vasuji

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

Vasuji

git cheat-sheet

The git command-line utility has plenty of inconsistencies http://steveko.wordpress.com/2012/02/24/10-things-i-hate-about-git/

A GUI like http://sourcetreeapp.com is often helpful, but staying on the command line usually quicker. This is a list of the commands I use most frequently, listed by funcional category:

current state

git status list which (unstaged) files have changed

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<script src="https://www.amcharts.com/lib/4/core.js"></script>
<script src="https://www.amcharts.com/lib/4/charts.js"></script>
<script src="https://www.amcharts.com/lib/4/themes/animated.js"></script>
<div id="chartdiv"></div>

Vasuji

#BART (Bayesian Additive Regression Tree) Models

library(BayesTree)

trainingdata <- read.csv("Kaggle_training.csv")
testdata <- read.csv("sorted_test.csv")
soil_properties <- c("Ca", "P", "pH", "SOC", "Sand")

# CO2_bands <- 2656:2670
names(trainingdata)[2656:2670]