Arthur Danjou

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Studies projects

01 September 2023

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🎓 Studies projects - a collection of projects done during my studies.

Studies projects is a collection of mathematics projects done during my studies. It includes projects in Python and in R.

The projects are divided into two main categories: L3 and M1, corresponding to the third year of the bachelor's degree and the first year of the master's degree in mathematics.

File structure:

  • L3
    • Analyse Matricielle
    • Analyse Multidimensionnelle
    • Calculs Numériques
    • Equations Différentielles
    • Méthodes Numériques
    • Probabilités
    • Projet Numérique
    • Statistiques
  • M1
    • Data Analysis
    • General Linear Models
    • Monte Carlo Methods
    • Portfolio Management

Made with:

  • Python: Python is an interpreted, high-level and general-purpose programming language.
  • R: R is a programming language and free software environment for statistical computing and graphics.
  • Jupyter: Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia resources in a single document.
  • Pandas: Pandas is a fast, powerful, flexible and easy to use open source data analysis and data manipulation library built on top of the Python programming language.
  • Numpy: NumPy is the fundamental package for scientific computing in Python.
  • Scipy: SciPy is a free and open-source Python library used for scientific and technical computing.
  • Matplotlib: Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
  • RMarkdown: R Markdown is an authoring framework for data science. You can use a single R Markdown file to save and execute code and generate high-quality reports that can be shared with an audience.
  • FactoMineR: FactoMineR is an R package dedicated to multivariate exploratory data analysis.
  • ggplot2: ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics.
  • and my 🧠

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