PyTrackDat — A pipeline for online data collection and management
PyTrackDat comprises two Python scripts that analyze and assist in converting
data and relevant metadata from .csv files into an online database that can
facilitate data management, manipulation, and quality control. What each of
these scripts does is outlined in this README.md file. Note that the care
that is taken to assemble .csv files before using these scripts will help
ensure that the database generated is maximally useful.
Metadata
Release files for pytrackdat 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pytrackdat-0.2.1.tar.gz | 117.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pytrackdat-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 237.1 kB
Release files / pytrackdat-0.2.1.tar.gz
| Download URL | pytrackdat-0.2.1.tar.gz |
|---|---|
| Size | 117.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.0
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Release files / pytrackdat-0.2.1-py3-none-any.whl
| Download URL | pytrackdat-0.2.1-py3-none-any.whl |
|---|---|
| Size | 119.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.0
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