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Welcome to my GitHub Profile! 👋

I'm a researcher with a Ph.D. in Materials Science, currently working at the Italian National Council of Research (CNR). My research focuses on the characterization and development of new materials. Alongside my academic work, I have a keen interest in lighting and rendering, as well as creating scientific illustrations.

Repository Contents

  • 💻 Spaghetti Code Tutorials: I have created a series of tutorials that will guide you through writing clean and efficient code. These tutorials are designed to help both beginners and experienced developers improve their programming skills.
  • 🖌️ Blend Files: I also share some of my "blend" files, which represent 3D projects I have created for research purposes or simply out of passion. Feel free to explore, modify, or use them for your own purposes.
  • ✏️ Various Doodles: Here, you will find a collection of my drawings and sketches created during my free time. I am always open to new challenges and interesting ideas, so if you have any suggestions or requests, please don't hesitate to reach out!

Programming Languages and Concepts

I am proficient in the following programming languages and concepts:

  • 💻 Python: I have experience in Python programming and use it for various tasks, including data analysis, visualization, and scientific computing.

  • 📊 Statistics: I have a good understanding of statistical concepts and their practical application in research and data analysis.

How to Contribute

I am always excited to collaborate with other creative minds! If you would like to contribute to any of my projects or propose new ideas, I would be happy to discuss them. You can open a new issue here on the repository or contact me directly via email.

Contact Information

I look forward to connecting with fellow developers, researchers, and enthusiasts in the fields of materials science and scientific illustrations!

Giorgio Luciano's Projects

awesome-healthcare icon awesome-healthcare

Curated list of awesome open source healthcare software, libraries, tools and resources.

esmam icon esmam

additional files for the book Essential Statistical and Multivariate Analysis in Material Science

jupyter_dock icon jupyter_dock

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

molly icon molly

sandbox per docking molecules

oreo icon oreo

The Sequence of Physical Processes (SPP) framework is a way of interpreting the transient data derived from oscillatory rheological tests. It is designed to allow both the linear and non-linear deformation regimes to be understood within a single unified framework. This code provides a convenient way to determine the SPP framework metrics for a given sample of oscillatory data. It will produce a text file containing the SPP metrics, which the user can then plot using their software of choice. It can also produce a second text file with additional derived data (components of tangent, normal, and binormal vectors), as well as pre-plotted figures if so desired. It is the R version of the Package SPP by Simon Rogers Group for Soft Matter.

takos icon takos

:exclamation: This is a read-only mirror of the CRAN R package repository. takos — Analysis of Differential Calorimetry Scans

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