No matter in which format your tabular data is: rows will import it, automatically detect types and give you high-level Python objects so you can start working with the data instead of trying to parse it. It is also locale-and-unicode aware. :)
Read the documentation and learn how simple is to use it: http://turicas.info/rows
1 maintainer
Release files for rows 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rows-0.4.1.linux-x86_64.tar.gz | Details | |||
| rows-0.4.1-py3.6.egg | Legacy Egg format | - | - | Details |
| rows-0.4.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 229.0 kB
Release files / rows-0.4.1.linux-x86_64.tar.gz
| Download URL | rows-0.4.1.linux-x86_64.tar.gz |
|---|---|
| Size | 103.6 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 |
Python-urllib/3.6
|
Release files / rows-0.4.1-py3.6.egg
| Download URL | rows-0.4.1-py3.6.egg |
|---|---|
| Size | 60.4 kB |
| Tags | Egg |
|
SHA-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 |
Python-urllib/3.6
|
Release files / rows-0.4.1-py2.py3-none-any.whl
| Download URL | rows-0.4.1-py2.py3-none-any.whl |
|---|---|
| Size | 65.1 kB |
| Tags | Python 2 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
