Lists – Paul-Elvis

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This is a collection of great tools and books on datascience, politics and reproduceable code that i want to share. Feel free to use them or suggest me more of them

Tools

UV

Jupyter Notebook/JupyterLab

reproducibility

Interactive computing environment that enables users to create notebook documents that combine live code, equations, visualizations and narrative text.

R Studio

reproducibility

Integrated development environment for R, a programming language for statistical computing and graphics.

Python

computational social science

Versatile programming language with rich ecosystem of libraries for data analysis, machine learning, and scientific computing.

pandas

data manipulation

Fast, powerful, flexible and easy to use open source data analysis and manipulation library for Python.

scikit-learn

machine learning

Simple and efficient tools for predictive data analysis, accessible to everybody, and reusable in various contexts.

NumPy

scientific computing

Fundamental package for scientific computing with Python, providing support for arrays, matrices, and mathematical functions.

Docker

reproducibility

Platform that enables developers to package applications into containers—standardized executable components that run consistently on any infrastructure.

Git

version control

reproducibility

Distributed version-control system for tracking changes in source code during software development.

GitHub/GitLab

reproducibility

Web-based platforms that provide hosting for software development and version control using Git.

Quarto

reproducibility

Open-source scientific and technical publishing system built on Pandoc, supporting multiple languages including R, Python, and Julia.

TensorFlow

machine learning

End-to-end open source platform for machine learning, with comprehensive ecosystem of tools, libraries, and community resources.

PyTorch

machine learning

Open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

Snakemake

workflow management

reproducibility

Workflow management system that aims to reduce the complexity of creating workflows by providing a clean and modern domain-specific language.

DVC (Data Version Control)

version control

reproducibility

Open-source version control system for machine learning projects, designed to handle large files, data sets, machine learning models, and metrics.

NLTK

computational social science

natural language processing

Suite of libraries and programs for symbolic and statistical natural language processing for English.

spaCy

computational social science

natural language processing

Open-source software library for advanced natural language processing in Python.

NetworkX

computational social science

network analysis

Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Gephi

computational social science

network analysis

Open-source network analysis and visualization software package written in Java.

Binder

reproducibility

Service that allows sharing of interactive, executable versions of projects in Git repositories.

Conda

package management

reproducibility

Package, dependency and environment management for any language—Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN.

Poetry

package management

reproducibility

Tool for dependency management and packaging in Python, making it easy to build and share packages.

Tableau

data visualization

Interactive data visualization software focused on business intelligence.

Observable

data visualization

interactive computing

Web-based, interactive coding environment that enables data visualization and exploration with JavaScript.

MLflow

machine learning

reproducibility

Open source platform for managing the end-to-end machine learning lifecycle, including tracking experiments, packaging code, and sharing models.

Books

UV