Skip to main content

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:
    • datesy: converting, inspecting, matching and sorting data
    • fil_io: selecting, reading and writing files
    • querious: sql query helper
    • pythomy: pythonic mysql interaction

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)

Source distribution for datesy 0.9.0
File Size Uploaded
datesy-0.9.0.tar.gz 12.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for datesy 0.9.0
File Interpreter ABI Platform
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
ed1f6ef60f8ca8b217ba5fc9754bfef85e1fd8c3fd0172ba4d1348af9b6dc311
BLAKE2b-256 checksum
How to use checksums
9711a4cb7618fae14df62a973460f3fe4edff3a9509bbdabcab331f226e41389
Upload date
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
9bcf8e752a1860e5ec4f6e50c80bc7e427d6650dfbe8b85bde64a462b3caf554
BLAKE2b-256 checksum
How to use checksums
6c27da4b18799b73831abfc93e911f732df67ab5a7f99f3bebdb56769ff9be83
Upload date
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 history Release notifications | RSS feed

This release

0.9.0 This release

2 release files

0.8.1

2 release files

0.8.0

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.15

2 release files

0.6.12

2 release files

0.6.11

2 release files

0.6.10

2 release files

0.6.9

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page