I love Python, but it may not be so good for some tasks or in any case it needs other technologies to be useful. That's why I'm always willing to learn new technologies.
const mySkills = {
programing_languages: ["Python", "Julia","Rust","R","JavaScript","C++"],
technologies: {
frontEnd: ["React","HTML","CSS"],
backEnd: ["FastAPI", "Flask","Django"],
databases: ["MongoDB", "MySQL", "PostgreSQL","SQLserver"],
development: ["VS Code","Docker","Git","Linux"],
design: ["Figma"],
cloud: ["GCP","AWS"]
},
data_science: {
data_manipulation: ["SQL","Pandas","Numpy","NetworkX","Spark", "Airflow"],
data_visualization: ["Matplotlib","Seaborn","Google Data Studio", "Tableau","PowerBI"],
machine_learning: ["Scikit-Learn"],
nlp: ["LLMs","NLTK","SpaCy"],
deep_learning: ["Pytorch","TensorFlow"]
},
maths: ["Vectorial calculus", "Linear Algebra","Optimization", "Probabilities"]
};
- Allison The main Machine Learning models implemented with Python and NumPy.
- The Game of Life A video game developed with Python and Pygame.
- Kamaqi A command line app for creating Backends with FastAPI.
- Qaylla.jl The main methods of numerical analysis with Julia.