mirror of
https://github.com/ArthurDanjou/artsite.git
synced 2026-01-22 09:51:34 +01:00
Arthur DANJOU
bbc573e290
- Renamed 'portfolio' collection to 'projects' in content configuration. - Introduced a new 'writings' collection with corresponding schema. - Updated README to reflect changes in content structure and navigation. - Removed the old portfolio page and added new pages for projects and writings. - Added multiple new project and writing markdown files with relevant content. - Updated license year to 2025. - Enhanced AppHeader for new navigation links. - Improved ProseImg component styling.
45 lines
2.4 KiB
Markdown
45 lines
2.4 KiB
Markdown
---
|
|
slug: studies
|
|
title: 🎓 Studies projects
|
|
description: A collection of projects done during my studies.
|
|
publishedAt: 2023/09/01
|
|
readingTime: 1
|
|
tags:
|
|
- data
|
|
- python
|
|
- r
|
|
---
|
|
|
|
[Studies projects](https://github.com/ArthurDanjou/studies) 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](https://www.python.org): Python is an interpreted, high-level and general-purpose programming language.
|
|
- [R](https://www.r-project.org): R is a programming language and free software environment for statistical computing and graphics.
|
|
- [Jupyter](https://jupyter.org): 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](https://pandas.pydata.org): 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](https://numpy.org): NumPy is the fundamental package for scientific computing in Python.
|
|
- [Scipy](https://www.scipy.org): SciPy is a free and open-source Python library used for scientific and technical computing.
|
|
- [Matplotlib](https://matplotlib.org): Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
|
|
- [RMarkdown](https://rmarkdown.rstudio.com): 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](https://factominer.free.fr/): FactoMineR is an R package dedicated to multivariate exploratory data analysis.
|
|
- [ggplot2](https://ggplot2.tidyverse.org): ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics.
|
|
- and my 🧠
|