A data science environment is a software environment that is specifically designed for data science and machine learning tasks. It typically includes a range of tools and libraries for data manipulation, analysis, visualization, and machine learning, as well as other tools and services that are commonly used in data science workflows. Data science environments are typically designed to be modular, so that different tools and libraries can be easily added, removed, or updated as needed. They may also include features such as integrated development environments (IDEs) and version control, to support collaboration and reproducibility in data science projects.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.