Name: Emanuele Cannizzaro
Type: User
Company: Airbus Operations Sas
Bio: I am a Senior Aerospace Engineer with a passion for programming and data science.
Twitter: emanuele_canna
Location: Toulouse
Blog: https://emanuelecannizzaro.github.io/
Emanuele Cannizzaro's Projects
Airframe Finite Element Modeler
Air Fare
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
CAD common operations using PythonOCC
CAD files read, write and conversions.
Armadillo C++ linear algebra library from http://arma.sourceforge.net
A Langchain app that allows you to chat with multiple PDFs
A series of beautiful and practical landing page templates
A curated list of awesome Machine Learning frameworks, libraries and software.
Awesome Panel supports Panel and its users. We provide a live Panel web site with an awesome list and a live gallery of apps with code. Panel makes it easy to build powerful data apps in Python using the tools you know and love. ❤️🐍📈
Code for a tutorial on Bayesian Statistics by Allen Downey.
https://matthewkudija.com/blog/
Flight search app built with React.js
AECS4U Ltd
A python parametric CAD scripting framework based on OCCT
Estimated net income calculator based on italian tax system
CalculiX is an OSS package designed to solve field problems. The method used is the finite element method. This package is a native Microsoft Windows 64-bit build of CalculiX.
Financial investment modeling and advanced engineering economics using Python
navigatore del servizio wms di cartografia catastale dell'Agenzia delle entrate
The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.
An AutoGPT agent that controls Chrome on your desktop
CadQuery GUI editor based on PyQT
A python library of CadQuery tools and helpers for building 3D CAD models.
Credit risk associated with consumer loans. Performed exploratory data analysis, preprocessing of variables. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
My YAML cv and resume.