Datesy: the easy introduction in data handling with python
This library wants to help getting started with data handling in python3 and take care of just some stuff you don't wont to worry about
Installation
The minimal required python version is Python3.6.
The easiest installation can be done by pip3 install datesy.
Getting started
Once installed, just import datesy the package and start using as simple as:
data = datesy.convert.pandas_data_frame_to_dict(data_sheet) for handling your data as easy as a dictionary
For further guidance and help look at the documentation:
Documentation
Please find the documentation here: documentation
Release Notes
Please find all release notes here: release notes
0.9.0
- refactored and separated datesy into 4 repositories:
Requests & contribution
If you desire anything changed in the package, need another feature please just create an issue.
I am happy for everybody wanting to contribute. Simplest way is to start writing issues, forking the repository and contacting me ;)
Release files for datesy 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datesy-0.9.0.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datesy-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.6 kB
Release files / datesy-0.9.0.tar.gz
| Download URL | datesy-0.9.0.tar.gz |
|---|---|
| Size | 12.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.7
|
Release files / datesy-0.9.0-py3-none-any.whl
| Download URL | datesy-0.9.0-py3-none-any.whl |
|---|---|
| Size | 46.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.7
|