Welcome! I am Gastón Creci, a physicist with a passion for computational science, data analysis, and machine learning. My work bridges fundamental research and practical coding, with a focus on clarity, reproducibility, and scientific rigor.

• Mathematica.codes
  A curated collection of Mathematica notebooks and scripts covering a wide range of topics in mathematics and physics.

  • Symbolic and numerical solutions to differential equations
  • Linear algebra demonstrations
  • Visualization of mathematical functions and physical phenomena
  • Useful code snippets for research and teaching

  Mathematica Physics Mathematics Visualization

• Python.codes
  A growing set of Python scripts and Jupyter notebooks for scientific computing and algorithmic exploration.

  • Numerical integration and differentiation
  • Image processing
  • Data analysis and plotting with Pandas and Matplotlib
  • Time-series and detection analysis
  • Geospatial data analysis

  Python Numerical Methods Data Analysis Image processing

• IBM-Data-Science-course
  My completed assignments, labs, and projects from the IBM Data Science Professional Certificate.

  • Data wrangling and visualization
  • Exploratory data analysis
  • Machine learning model building and evaluation
  • Real-world datasets and end-to-end data science workflows

  Python Jupyter Pandas Machine Learning

• PyTorch-course (forked)
  Course materials and exercises for learning deep learning with PyTorch.

  • Neural network basics
  • Building and training models
  • Hands-on coding exercises

  Python PyTorch Deep Learning

• Programming: Python, Mathematica, Bash, Fortran
• Data Science: Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Jupyter, Dash, Folium
• Machine Learning: PyTorch, Scikit-learn, Google GenAI
• Other: Git, LaTeX