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A place for ā¦ Explainable science to go from āI think I understandā to āNow I fully understandā. To see more scroll down or click on the buttons bellow. En...

Accepted for the Google Summer of Code ā17 for CERN-HSF

The development of a Deep Learning Module in TMVA

GSoC ā17 has ended. Time for the last submission.

Demystifying GO Chatbots

How participation in Hackathons can be beneficial for you.

Hands-on experience with D3.js to create a Parallel Coordinates plot

Overview of the JavaScript charting libraries with a hands-on experience

Overview of the JavaScript Graph-Visualization libraries

Hands-on experience with Cytoscape JS

Animation and visualization of random walks with Matplotlib in Python

Animation and visualization of Brownian Motion in Python with Matplotlib

Simulation and Animation of Brownian Motion with Drift and Volatility in Python with Matplotlib

Geometric Brownian Motion in Python with Matplotlib

Animated Visualization of the Riemann Numerical Integration in Python with Matplotlib

What are Fractals and How to Make Your Own

Illustrated examples of the Riemann-Stieltjes Integration in Python with Matplotlib

Illustrated examples on how and why to use and adopt the BERT-like models

Illustration, implementation and animation of the elementary cellular automata in Python with Matplotlib

Track and visualize Machine Learning experiments using HiPlot Parallel Coordinates Plot in Python

Estimating your Python code CO2 emissions was never easier using tools like CodeCarbon

How I used ChatGPT to generate a tutorial for Python beginners

Intuitive illustration of the batch and layer normalization techniques in neural networks with PyTorch implementation

You donāt need GitHub Copilot to find boilerplate code.

Using the explainshell tool to understand the unix command and decrypt the myriad of arguments

This interactive visualization exploring the MNIST data UMAP projections is amazing

Track the loss per class per epoch when training a machine learning model to reveal the learning curve for different classes.

Using 3 different types of plots from the Pandas plotting API we can understand any multivariate data

Using the Altair Python API we can focus on what instead of how to visualize the data

How to completely profile your Python code using snakeviz, line_profiler, memory_profiler and pyinstrument

Turning the attention equation from āAttention is All you Needā into code using ChatGPT

How to use the Python Walrus operator to make expressions simpler. Hereās how when computing gradients with JAX.

Asking ChatGPT to calculate the differential of a funtion step by step and implement it in Python

Laptop Visualizations using Parallel Coordinates plot generated with D3 JS

JDK class dependency as an interactive graph using Cytoscape JS

Animated visualization of simple random walk with Matplotlib

Convergence of the Simple Random Walk to a Brownian Motion with Matplotlib

Animation of Brownian Motion only with Drift with Matplotlib

Animation of Brownian Motion with Volatility with Matplotlib

Visualized approximation of Pi by randomly drawing points

The Geometric Brownian Motion can have zero mean and infinite variance

Monte Carlo simulation of a single Geometric Brownian Motion

Visualization of the Brownian Motion Reflection Principle with Matplotlib

Animated Visualization of the Riemann Sums using Matplotlib

How to numerically calculate the area of a circle in Python

Implement and make a visualization of the Mandelbrot set. All in Python with Matplotlib

How to mathematically construct a perfect snowflake?

The mind-gobbling properties of the Julia Set through the prism of visualization

It is strange how seemingly simple things turn out to be so chaotic.

Not an ordinary function, animating the zeros of the Riemann Zeta function in Python using Matplotlib

Ho Ho Ho! Mery Christmas!

Ferns can also be fractals. Generate and plot the Barnsley Fern fractal in Python using Matplotlib

How the t-distribution approaches the normal distribution as the degrees of freedom increase.