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46 lines
2.4 KiB
Markdown
46 lines
2.4 KiB
Markdown
---
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slug: studies
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title: 🎓 Studies projects
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description: A collection of projects done during my studies.
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publishedAt: 2023/09/01
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readingTime: 1
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favorite: true
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tags:
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- data
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- python
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- r
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---
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[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_.
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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.
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File structure:
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- `L3`
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- `Analyse Matricielle`
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- `Analyse Multidimensionnelle`
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- `Calculs Numériques`
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- `Equations Différentielles`
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- `Méthodes Numériques`
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- `Probabilités`
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- `Projet Numérique`
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- `Statistiques`
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- `M1`
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- `Data Analysis`
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- `General Linear Models`
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- `Monte Carlo Methods`
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- `Portfolio Management`
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Made with:
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- [Python](https://www.python.org): Python is an interpreted, high-level and general-purpose programming language.
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- [R](https://www.r-project.org): R is a programming language and free software environment for statistical computing and graphics.
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- [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.
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- [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.
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- [Numpy](https://numpy.org): NumPy is the fundamental package for scientific computing in Python.
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- [Scipy](https://www.scipy.org): SciPy is a free and open-source Python library used for scientific and technical computing.
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- [Matplotlib](https://matplotlib.org): Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
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- [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.
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- [FactoMineR](https://factominer.free.fr/): FactoMineR is an R package dedicated to multivariate exploratory data analysis.
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- [ggplot2](https://ggplot2.tidyverse.org): ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics.
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- and my 🧠
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