diff --git a/content/projects/arthome.md b/content/projects/arthome.md index 92b5774..2b16126 100644 --- a/content/projects/arthome.md +++ b/content/projects/arthome.md @@ -1,7 +1,7 @@ --- slug: arthome title: 🏡 ArtHome -description: Your personalised home page in your browser +description: Your personalized browser homepage publishedAt: 2024/09/04 readingTime: 1 cover: arthome/cover.png @@ -9,16 +9,16 @@ tags: - web --- -[ArtHome](https://home.arthurdanjou.fr) is a personalised page where you can create categories and tabs to have a one page with all your shortcuts on all browsers. +[ArtHome](https://home.arthurdanjou.fr) is a customizable browser homepage that lets you organize all your favorite links in one place. -You can customize your tabs and categories with different colors and icons. Feel free to set your page in private if you want to keep secret your tabs. +Create categories and tabs to group your shortcuts, personalize them with icons and colors, and make the page private if you want to keep your links just for yourself. The interface is clean, responsive, and works across all modern browsers. -Made with: +### 🛠️ Built with -- [Nuxt](https://nuxt.com): Nuxt is an **open source framework** that makes web development intuitive and powerful.Create performant and production-grade full-stack web apps and websites with confidence. -- [NuxtHub](https://hub.nuxt.com): Deploy and scale your Nuxt applications worldwide with NuxtHub, the Cloudflare-powered platform that ensures lightning-fast performance at low cost and with full-stack capabilities. -- [NuxtUI](https://ui.nuxt.com): Nuxt UI simplifies the creation of stunning and responsive web applications with itscomprehensive collections of fully styled and customizable UI components designed for Nuxt. -- [Eslint](https://eslint.org): ESLint is an open source project that helps you find and fix problems with your JavaScript code. -- [Drizzle](https://orm.drizzle.team/): Drizzle ORM is a headless TypeScript ORM with a head -- [Zod](https://zod.dev/): TypeScript-first schema validation with static type inference -- and ❤️ +- [Nuxt](https://nuxt.com): An open-source framework for building performant, full-stack web applications with Vue. +- [NuxtHub](https://hub.nuxt.com): A Cloudflare-powered platform to deploy and scale Nuxt apps globally with minimal latency and full-stack capabilities. +- [NuxtUI](https://ui.nuxt.com): A sleek and flexible component library that helps create beautiful, responsive UIs for Nuxt applications. +- [ESLint](https://eslint.org): A linter that identifies and fixes problems in your JavaScript/TypeScript code. +- [Drizzle ORM](https://orm.drizzle.team/): A lightweight, type-safe ORM built for TypeScript, designed for simplicity and performance. +- [Zod](https://zod.dev/): A TypeScript-first schema declaration and validation library with full static type inference. +- and a lot of ❤️ \ No newline at end of file diff --git a/content/projects/artsite.md b/content/projects/artsite.md index b0d3707..b005f1a 100644 --- a/content/projects/artsite.md +++ b/content/projects/artsite.md @@ -1,7 +1,7 @@ --- slug: artsite title: 🌍 ArtSite -description: My personal website, my portfolio, and my blog. +description: My personal website, portfolio, and blog — all in one. publishedAt: 2024/06/01 readingTime: 1 cover: artsite/cover.png @@ -10,16 +10,22 @@ tags: - web --- -[**ArtSite**](https://arthurdanjou.fr) is my personal website, my portfolio, and my blog. It's a place where I can share my projects, my thoughts, and my experiences. It's also a place where I can experiment with new technologies and design ideas. +[**ArtSite**](https://arthurdanjou.fr) is my personal space on the web — a portfolio, a blog, and a digital lab where I showcase my projects, write about topics I care about, and experiment with design and web technologies. -## ⚒️ Tech stack +It’s designed to be fast, accessible, and fully responsive. The site also serves as a playground to explore and test modern frontend tools. -- **UI** → [Vue.js](https://vuejs.org/) -- **Framework** → [Nuxt.js](https://nuxtjs.org/) -- **Content** → [Nuxt Content](https://content.nuxtjs.org/) -- **Design System** → [NuxtUI](https://nuxtui.com/) -- **CMS & Editing** → [Nuxt Studio](https://nuxt.studio) -- **Langage** → [Typescript](https://www.typescriptlang.org/) -- **Deployment** → [NuxtHub](https://hub.nuxt.com/) -- **Styling** → [Sass](https://sass-lang.com/) & [Tailwind CSS](https://tailwindcss.com/) -- **Package Manager** → [pnpm](https://pnpm.io/) +### ⚒️ Tech Stack + +- **UI** → [Vue.js](https://vuejs.org/): A progressive JavaScript framework for building interactive interfaces. +- **Framework** → [Nuxt](https://nuxt.com/): A powerful full-stack framework built on Vue, perfect for modern web apps. +- **Content System** → [Nuxt Content](https://content.nuxtjs.org/): File-based CMS to manage blog posts and pages using Markdown. +- **Design System** → [Nuxt UI](https://nuxtui.com/): Fully styled, customizable UI components tailored for Nuxt. +- **CMS & Editing** → [Nuxt Studio](https://nuxt.studio): Visual editing and content management integrated with Nuxt Content. +- **Language** → [TypeScript](https://www.typescriptlang.org/): A statically typed superset of JavaScript. +- **Styling** → [Sass](https://sass-lang.com/) & [Tailwind CSS](https://tailwindcss.com/): Utility-first CSS framework enhanced with SCSS flexibility. +- **Deployment** → [NuxtHub](https://hub.nuxt.com/): Cloudflare-powered platform for fast, scalable Nuxt app deployment. +- **Package Manager** → [pnpm](https://pnpm.io/): A fast, disk-efficient package manager for JavaScript/TypeScript projects. +- **Linter** → [ESLint](https://eslint.org/): A tool for identifying and fixing problems in JavaScript/TypeScript code. +- **ORM** → [Drizzle ORM](https://orm.drizzle.team/): A lightweight, type-safe ORM for TypeScript. +- **Validation** → [Zod](https://zod.dev/): A TypeScript-first schema declaration and validation library with full static type inference. +- **Deployment** → [NuxtHub](https://hub.nuxt.com/): A platform to deploy and scale Nuxt apps globally with minimal latency and full-stack capabilities. \ No newline at end of file diff --git a/content/projects/studies.md b/content/projects/studies.md index f4f6953..91ae4d7 100644 --- a/content/projects/studies.md +++ b/content/projects/studies.md @@ -1,7 +1,7 @@ --- slug: studies -title: 🎓 Studies projects -description: A collection of projects done during my studies. +title: 🎓 Studies Projects +description: A curated collection of mathematics and data science projects developed during my academic journey. publishedAt: 2023/09/01 readingTime: 1 favorite: true @@ -11,35 +11,45 @@ tags: - 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_. +[Studies Projects](https://github.com/ArthurDanjou/studies) is a curated collection of academic projects completed throughout my mathematics studies. The repository showcases work in both _Python_ and _R_, focusing on mathematical modeling, data analysis, and numerical methods. -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. +The projects are organized into two main sections: +- **L3** – Third year of the Bachelor's degree in Mathematics +- **M1** – First year of the Master's degree in Mathematics + +## 📁 File Structure -File structure: - `L3` - `Analyse Matricielle` - `Analyse Multidimensionnelle` - `Calculs Numériques` - - `Equations Différentielles` + - `Équations Différentielles` - `Méthodes Numériques` - `Probabilités` - `Projet Numérique` - `Statistiques` + - `M1` - `Data Analysis` - `General Linear Models` - `Monte Carlo Methods` + - `Numerical Methods` + - `Numerical Optimization` - `Portfolio Management` + - `Statistical Learning` -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 🧠 +## 🛠️ Technologies & Tools + +- [Python](https://www.python.org): A high-level, interpreted programming language, widely used for data science, machine learning, and scientific computing. +- [R](https://www.r-project.org): A statistical computing environment, perfect for data analysis and visualization. +- [Jupyter](https://jupyter.org): Interactive notebooks combining code, results, and rich text for reproducible research. +- [Pandas](https://pandas.pydata.org): A data manipulation library providing data structures and operations for manipulating numerical tables and time series. +- [NumPy](https://numpy.org): Core package for numerical computing with support for large, multi-dimensional arrays and matrices. +- [SciPy](https://www.scipy.org): A library for advanced scientific computations including optimization, integration, and signal processing. +- [Scikit-learn](https://scikit-learn.org): A robust library offering simple and efficient tools for machine learning and statistical modeling, including classification, regression, and clustering. +- [TensorFlow](https://www.tensorflow.org): A comprehensive open-source framework for building and deploying machine learning and deep learning models. +- [Matplotlib](https://matplotlib.org): A versatile plotting library for creating high-quality static, animated, and interactive visualizations in Python. +- [RMarkdown](https://rmarkdown.rstudio.com): A dynamic tool for combining code, results, and narrative into high-quality documents and presentations. +- [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA). +- [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R. +- and my 🧠.