Started learning and having fun ^^ :

• February 2024: Nmap, Raspberry Pi
• January 2024: Lua
• May 2023: Numba
• April 2023: MSSQL, PHP
• December 2022: MongoDB
• September 2022: Front-End Web Development with React
• August 2022: React
• July 2022: Slick and PostgreSQL with Scala, the subprocess module in Python
• June 2022: YAML
• April 2022: Deploying a flask app to Linux (Ubuntu) with apache2 and mod_wsgi
• March 2022: Passed the PCEP - Certified Entry-Level Python Programmer
• February 2022: HTML, CSS and JavaScript (Vanilla JavaScirpt + jQuery + AJAX)
• January 2022: Flask, SQLite and numerically solving model analysis Physics of Fission Reactors problems w/ Python
• December 2021: TensorFlow, Keras and building REST APIs with Django REST Framework
• November 2021: OpenCV, Tkinter and MySQL
• October 2021: Django Django Girls Philadelphia programming workshop 2021
• September 2021: Scala Effective Programming in Scala
• August 2021 : Python

hello-world

I'm Kristina 👩, software developer and python trainer.

With MATLAB and C++ I've been solving numerically model analysis physics problems:
Modelska analiza I (Model analysis I)

• Kinematic models

  • Variational approach
  • Linear programming
  • Nonlinear minimization

• Population models and models of chemical kinetics

  • Phase analysis
  • Modeling of data and parameter estimation
  • Method of normal matrix
  • Singular value decomposition method

• Stochastic models

  • Generators of random numbers
  • Frequent distribution of probability for model analysis work
  • Monte Carlo integration
  • Simulations
  • Metropolis algorithm

• Harmonic analysis

  • FFT
  • Convolution
  • Data filtering
  • Reconstruction of noisy data

Modelska analiza II (Model analysis II)

• Harmonic analysis

  • Method of maximum entropy
  • Linear prediction

• Ordinary differential equations

  • Trajectories in gravitational field
  • Nonlinear dynamics
  • Atomic models of self-consistent field

• Elliptic problems

  • Potentials
  • Relaxation method
  • Finite element method
  • Fundamental and generalized eigenvalue problem

• Hydrodynamic models

  • Boundary element method
  • Vorticity

Računalniška dinamika tekočin (CFD)

• Basic equations of fluid mechanics, heat transfer and mass transfer

  • Basic forms of equations
  • Models in fluid mechanics; classification of models depending on the type of leading partial differential equations

• Review of basic numerical methods

  • Finite difference, finite volume, and finite element methods
  • Numerical methods for basic matrix operations
  • Parallelization

• Euler equations of compressible flow

  • Numerical methods for solving systems of hyperbolic partial differential equations
  • Emphasis on explicit numerical schemes

• Incompressible viscous fluid flow

  • Implicit and semi-implicit schemes
  • Solving the Poisson equation for the pressure field

• Turbulence modelling

  • Direct numerical simulation method, large eddy simulation (LES), Reynolds-averaged Navier–Stokes equations (RANS)

• Two-phase flow simulations

• Practical examples:

  • Development of own programs:
    • Solving 1D compressible flow hyperbolic equations
    • Solving equations of incompressible viscous flow in a simple geometry
  • Simulations using existing software packages:
    • Modelling of turbulent flow
    • Spectral schemes for direct numerical simulation of turbulence
    • Simple two-phase flow simulations

Fizika in tehnika fuzijskih reaktorjev (Physics and technology of fusion reactors)

Fizika fisijskih reaktorjev (Physics of fission reactors)

My MSc Thesis simulations (Nuclear Thermal Hydraulics) - I got final results in August, 2020 ➡️ CFD : ANSYS CFX + MATLAB.

A conference paper done with my mentor, presenting part of my MSc Thesis work I did at the Reactor Engineering Divison R4, Jožef Stefan Institute, Slovenia:
"Downward Scaling of Experiment on Containment Atmsphere Mixing"

1 year of experience in High Performance Computing.

I'm quite comfy writing in 💙 LaTeX 💙 (TeXstudio).