Python 数据科学加速:Dask、Ray、Xorbits、mpi4py
-
Updated
Jun 12, 2024 - Jupyter Notebook
Python 数据科学加速:Dask、Ray、Xorbits、mpi4py
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Distributed DataFrame for Python designed for the cloud, powered by Rust
Apache DataFusion SQL Query Engine
Snowflake Snowpark Python API
Statistical Machine Intelligence & Learning Engine
Scraper used for recording changes to Portland jail database
The Mortality Multiple Cause-of-Death 2022 dataset from the NCHS preprocessed into a nice parquet file 😮💨.
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
In-memory Java DataFrame library
Clean APIs for data cleaning. Python implementation of R package Janitor
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
Modin: Scale your Pandas workflows by changing a single line of code
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Structured data processing in Kotlin
R package to export data frames from R to xlsx workbook
Add a description, image, and links to the dataframe topic page so that developers can more easily learn about it.
To associate your repository with the dataframe topic, visit your repo's landing page and select "manage topics."