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List of data science software this is a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning frameworks, data engineering tools, statistical software, data analysis, plotting, mlops systems, and more. This list may not reflect recent changes. Jupyter notebook — an ide that supports markdown, python, julia — r and several other languages
Kaggle notebooks — an online ide for python and r with integrated data science libraries, free gpus, and collaborative features Pages in category python (programming language) libraries the following 45 pages are in this category, out of 45 total Komodo ide — an ide photos python, perl, php and ruby.
Pandas (styled as pandas) is a software library written for the python programming language for data manipulation and analysis
In particular, it offers data structures and operations for manipulating numerical tables and time series [2] the name is derived from the term pan el da ta , an econometrics term for data sets that. Polars is built with an olap query engine implemented in rust using apache arrow columnar format as the memory model Although built using rust, there are python, node.js, r, and sql api interfaces to use polars
As of september 2025, polars has over 24 million monthly downloads [1][2] and over 250 million downloads in total These include software libraries, frameworks, platforms, and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence, and more. Integrations numpy numpy is one of the most popular python data libraries, and tensorflow offers integration and compatibility with its data structures [70] numpy ndarrays, the library's native datatype, are automatically converted to tensorflow tensors in tf operations
The same is also true vice versa
[4] scipy contains modules for optimization, linear algebra, integration, interpolation, special functions, fast fourier transform, signal and image processing, ordinary differential equation solvers. The natural language toolkit, or more commonly nltk, is a suite of libraries and programs for symbolic and statistical natural language processing (nlp) for english written in the python programming language It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities
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