fugue
data-science-ipython-notebooks
Our great sponsors
fugue | data-science-ipython-notebooks | |
---|---|---|
11 | 1 | |
1,853 | 26,307 | |
1.5% | - | |
6.7 | 0.0 | |
11 days ago | 9 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fugue
- FLaNK Stack Weekly 22 January 2024
-
Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
Please integrate it with Fugue.
- Ask HN: How do you test SQL?
-
Replacing Pandas with Polars. A Practical Guide
Fugue is an interesting library in this space , though I haven’t tried it
https://github.com/fugue-project/fugue
A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.
-
The hand-picked selection of the best Python libraries and tools of 2022
fugue — distributed computing done easy
-
[P] Open data transformations in Python, no SQL required
This looks similar to fugue, am I right? How do they compare?
-
Pyspark now provides a native Pandas API
There's dask-sql, but I think it is being abandoned for fugue-project. I'm actually excited for this project as it is trying to provide a backend agnostic solution, which would seem like a difficult, lofty goal. I wish them luck.
data-science-ipython-notebooks
-
Beginner in Python for Data Science
data science ipython notebooks
What are some alternatives?
modin - Modin: Scale your Pandas workflows by changing a single line of code
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
BirdNET - Soundscape analysis with BirdNET.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
sports-betting - Collection of sports betting AI tools.
PMapper - A tool for quickly evaluating IAM permissions in AWS.
data-science - :bar_chart: Path to a free self-taught education in Data Science!
listenbrainz-server - Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.
pandas_flavor - The easy way to write your own flavor of Pandas
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.