eXtended Data Analysis Toolkit
Project description
What is xdat?
xdat (eXtended Data Analysis Toolkit), is a set of utilities that help streamline data science projects.
- Monkey-patches common packages to add useful functionality
- Helps with standardization of plots in projects
- Includes useful tools (like caching)
Warning: this isn't even in "alpha" yet, and will likely have changes that are not backwards-compatible.
Installation
Ubuntu 20.04
> pip install xdat
Optionally, can also install:
> sudo apt -q -y install libeigen3-dev
> pip install git+https://github.com/madrury/py-glm.git
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
xdat-0.1.296.tar.gz
(637.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
xdat-0.1.296-py3-none-any.whl
(646.0 kB
view details)
File details
Details for the file xdat-0.1.296.tar.gz.
File metadata
- Download URL: xdat-0.1.296.tar.gz
- Upload date:
- Size: 637.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5ab6a340709810b6fb00716bbcb083cc2fe0f8a6b0c5652b4c0d07f71f665fe
|
|
| MD5 |
bb4672d5b739a3dbae92aeb9a1a66be6
|
|
| BLAKE2b-256 |
90aff7fcb7d5d86004bd3817334aff18cef9e2ba5c6c6baf9ce91892242a282d
|
File details
Details for the file xdat-0.1.296-py3-none-any.whl.
File metadata
- Download URL: xdat-0.1.296-py3-none-any.whl
- Upload date:
- Size: 646.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
21e965b098dd670f0ebeb9cb76e64bb1686bedf707ffa4e8dd9e094367011c97
|
|
| MD5 |
e08fec07212dcfdfe55176375420f4fc
|
|
| BLAKE2b-256 |
0eee403825aba3aefd9195ec8f3ef74903c0a8ed77e9bad22c34d3d1d620809b
|