A package for using Large Language Models for qualitative data analysis.
Project description
FlashQDA
This is a package for using Large Language Models for qualitative data analysis.
To install:
- Open Terminal.
- Type: python3 -m pip install flashqda
A user guide is in development. In the meantime, a QuickStart guide is available in the Docs folder.
For more information, visit https://github.com/nmkearney/flashqda.
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
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
File details
Details for the file flashqda-1.1.4.tar.gz.
File metadata
- Download URL: flashqda-1.1.4.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fca08c8420edcfacbf44359dda4941016e0fafba6f3557b533f8ff30edab4486
|
|
| MD5 |
5f2cc661bc0fc55ba05e2c392ed315a4
|
|
| BLAKE2b-256 |
b0d34afbe711cb3885228757185da416c6cb29030d4e7c0e12a4768fdb9043bb
|
File details
Details for the file flashqda-1.1.4-py3-none-any.whl.
File metadata
- Download URL: flashqda-1.1.4-py3-none-any.whl
- Upload date:
- Size: 13.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00d529558dd7849ed4bf9c2905498fd3a1516ae1b5979de413440513badffb6b
|
|
| MD5 |
ec82093d13c86a691327e4bff4be74db
|
|
| BLAKE2b-256 |
d3a6672f4ac2de309d1ad1f8ae483f3b4ca2bbce4b54176b3ce1145746bd87a8
|
