Skip to main content

about

By

 this is a science blog featuring posts about problem solving in chemical engineering and correlated areas using programming, specially python.


the name is a joke about demos (demonstrations) made in google colab, and Maxwell demon, a character in a mental problem about entropy and thermal equilibrium of statistical thermodynamics and information theory 


im iuri, a chemical engineer post doc researcher working in Brazil, member  of the ATOMS/UFRJ laboratory.

Comments

Post a Comment

Popular posts from this blog

yer a wizard - making your own custom %%cellmagics for colab notebooks

By
    ## Dive into the Magic of Jupyter %%cellmagic! ✨📚 Hey there, fellow data enthusiasts! 👋 Today, let's dive into the fascinating world of Jupyter's `%%cellmagic` 🪄. This little-known feature can supercharge your Jupyter Notebook workflow! 🚀💡 ### What's `%%cellmagic`? 🧙‍♂️✨ In the Jupyter ecosystem, `%magic` and `%%cellmagic` commands add special functionalities to your notebook cells. Think of them as magical commands that can transform how your cells behave! 🌟 For example, `%%time` can measure the execution time of a cell. But what if you want to create your own custom magic? That's where `%%cellmagic` shines! 💥 ### Example: Create Your Own Cell Magic 🛠️🔮 Let's say you want to create a custom magic that processes a cell in a specific way. Here's a simple example to get you started: ```python from IPython.core.magic import (Magics, magics_class, cell_magic, needs_local_scope) @magics_class class class_mycellmagic(Magics):     @needs_local_scope ...
Post a Comment
Read more

x=? or how can i make a random variable in python ?

By
 **Unleashing the Power of Randomness in Python/Numpy for Simple Game Structures! 🎲🔀🃏** Welcome, fellow programmers, game enthusiasts, and curious minds! Today, we embark on an exciting journey into the realm of randomness within Python and Numpy. Whether you're a seasoned coder or a newbie explorer, buckle up as we uncover the magic of random functions and how they can breathe life into simple game structures. 🚀 **1. Uniform Randomness:** 🎲 Ah, the beauty of unpredictability! With Python's `random` module or Numpy's `numpy.random` package, we can effortlessly generate uniformly distributed random numbers. This feature is ideal for scenarios like rolling dice, selecting random players, or determining the movement of objects in a game world. ```python import random # Roll a fair six-sided die roll_result = random.randint(1, 6) print("You rolled:", roll_result) ``` **2. List Choice:** 🔀 In the realm of games, sometimes decisions need to be made from a pool of ...
Post a Comment
Read more

how to do the linear regression in python??

By
  📊 **Unlocking the Power of Linear Regression with Python's SciPy Library!** 📈 Hey there, data enthusiasts! Today, we're diving into the world of linear regression using Python's powerful SciPy library. Strap in as we explore how to perform linear regression, calculate the coefficient of determination (R-squared), and unleash the potential of your data with just a few lines of code! ### 📊 What is Linear Regression? Linear regression is a fundamental statistical technique used to model the relationship between two variables. It's like fitting a straight line to a scatter plot of data points, allowing us to make predictions and understand the underlying relationship between the variables. ### 💻 Let's Get Coding! First things first, fire up your Python environment and make sure you have SciPy installed. If not, a quick `pip install scipy` should do the trick. Once that's done, import the necessary libraries: ```python from scipy.stats import linregress ``` Now...
Post a Comment
Read more