Anaconda
22 cited products
81 protocol citations
Anaconda is a leading provider of software and solutions for scientific research and analysis.
The company's products are widely used in laboratories and research institutions around the world.
Anaconda offers a suite of data science tools, including the popular Anaconda distribution of Python and R, as well as a range of scientific computing libraries and packages.
These tools are designed to streamline data management, analysis, and visualization, empowering researchers to make data-driven decisions.
Anaconda's software is complemented by a range of laboratory equipment, consumables, reagents, and chemicals, catering to the diverse needs of modern research.
PubCompare.ai, a product developed by Anaconda, helps scientists track the citation trends and impact of Anaconda's products, enabling them to make informed choices about their research workflows and tools.
The company's products are widely used in laboratories and research institutions around the world.
Anaconda offers a suite of data science tools, including the popular Anaconda distribution of Python and R, as well as a range of scientific computing libraries and packages.
These tools are designed to streamline data management, analysis, and visualization, empowering researchers to make data-driven decisions.
Anaconda's software is complemented by a range of laboratory equipment, consumables, reagents, and chemicals, catering to the diverse needs of modern research.
PubCompare.ai, a product developed by Anaconda, helps scientists track the citation trends and impact of Anaconda's products, enabling them to make informed choices about their research workflows and tools.
22 products from Anaconda
Sourced in Germany
Python 3 is a general-purpose programming language designed for ease of use and readability. It supports multiple programming paradigms, including object-oriented, functional, and procedural programming. Python 3 is an interpreted language, providing a high-level, dynamic, and flexible environment for developing a wide range of applications.
Sourced in United States
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, visualizations, and narrative text. It serves as a computational environment for interactive data analysis, visualization, and machine learning.
Sourced in United States
Anaconda3 is a free and open-source distribution of the Python programming language for scientific computing, data science, and machine learning. It includes a curated collection of over 1,500 data science packages and the Conda package and environment management system.
Sourced in United States
Python is a high-level programming language used for a variety of applications, including data analysis, web development, and automation. It is designed to be easy to read and write, with a focus on simplicity and readability. Python provides a wide range of built-in libraries and modules, making it a powerful tool for data manipulation, visualization, and machine learning.
Scikit-Learn is a machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and more. Scikit-Learn provides efficient and well-tested implementations of a variety of machine learning algorithms, making it a popular choice for researchers and practitioners in the field of data science and artificial intelligence.
Sourced in United States
Scikit-learn 0.23.1 is a machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and more. The library is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
Anaconda Distribution is a comprehensive open-source data science platform designed for easy installation and management of Python and R environments. It provides a collection of commonly used data science libraries and tools, enabling users to quickly set up and manage their data analysis workflows.
Anaconda3 is a free and open-source distribution of the Python and R programming languages for scientific computing, data science, and machine learning. It includes a collection of pre-installed packages and tools for data analysis, visualization, and model development.
The Scientific computing stack is a comprehensive software suite designed to facilitate data analysis, scientific computing, and numerical simulations. It provides a collection of open-source libraries and tools that enable users to perform a wide range of scientific and technical computations. The stack includes components such as programming languages, numerical and scientific computing libraries, data visualization tools, and other supporting utilities to enable efficient and effective scientific computing workflows.
Navigator 2.3.2 is a software application developed by Anaconda for data analysis and scientific computing. It provides a user-friendly interface for managing Python packages and environments. The core function of Navigator 2.3.2 is to simplify the installation, management, and use of Python-based tools and libraries.
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