Skip to main content

Study time management tool

Project description

Geek Hours

Table of Contents

Overview

Geek Hours is a simple study time management tool.

Prerequisites

  • Ubuntu 16.04 or later

  • Python 3.5 or later

  • SQLite 3.11.0 or later

Installing

Install from PyPI via pip.

pip3 install geekhours

Usage

Record

Register course names you study.

geekhours course add course_name [course_name ...]

Record date, course and time you studied.

geekhours done add [-d [DATE]] [-D [DURATION]] course_name

List

List courses:

geekhours course list

List study records:

geekhours done list

Delete

Delete a course:

geekhours course rm course_name

Delete a study record:

geekhours done rm date course_name

Specifications

SPEC.md

License

This project is licensed under the MIT License.

LICENSE

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geekhours-0.0.1.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geekhours-0.0.1-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file geekhours-0.0.1.tar.gz.

File metadata

  • Download URL: geekhours-0.0.1.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.7

File hashes

Hashes for geekhours-0.0.1.tar.gz
Algorithm Hash digest
SHA256 27677b926a75659c2e77c99c540116056a4155c7d074d67053bcf6db4e32c434
MD5 36418faed34b7a1e673154021c1fe56a
BLAKE2b-256 28f1ec810bf6a2eb6dea59b369e5b3872e294a84a0af5350c329c87f8edcb38a

See more details on using hashes here.

File details

Details for the file geekhours-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: geekhours-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.7

File hashes

Hashes for geekhours-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8ff68c1a811e780e549e9eac3e3bd2d00d33ad92c2b1f46761ca3e1b0bcdcf12
MD5 771914e31210113e9e184d1ace9f12f0
BLAKE2b-256 a85b297f705850009e7f244f2fb6189478fdbac2245e44bcc0c2353442956a5b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page