2 repositorios
Awesome GitHub RepositoriesGrouped Function Application
Applying user-defined functions to independently grouped data subsets and aggregating the results.
Distinct from User-Defined Data Functions: Distinct from general UDFs as it specifically handles the split-apply-combine pattern on grouped data.
Explore 2 awesome GitHub repositories matching data & databases · Grouped Function Application. Refine with filters or upvote what's useful.
Awesome Grouped Function Application GitHub Repositories
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- iamseancheney/python_for_data_analysis_2nd_chinese_version
iamseancheney/python_for_data_analysis_2nd_chinese_version
8,937Ver en GitHubThis project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
Implements the split-apply-combine pattern by executing user-defined functions on independently grouped data subsets.
matplotlibnumpypandas - rdatatable/data.table
Rdatatable/data.table
3,894Ver en GitHubThis project is a high-performance tabular data processing framework for R, designed to handle massive datasets with memory efficiency and speed. It provides an enhanced data structure that utilizes reference semantics and in-place modification to perform complex transformations without the overhead of unnecessary object copying. The library distinguishes itself through its low-level architectural optimizations, including multi-threaded parallel processing, radix-based sorting, and memory-mapped file parsing. By offloading critical data manipulation and aggregation routines to compiled C code
Executes custom calculations on subsets of data within each group for complex analytical workflows.
R
