semvec/pypi-packages huggingface dataset:
timetracker 0.1
A minimalistic timetracker.
License: MIT

A basic Python command line time tracker, inspired by a post on Hacker News by James Britt (https://news.ycombinator.com/item?id=6897425).

#Basics

To install:

`pip install timetracker`

To run:

`timetracker`

It's recommended that you alias it to `@`, for easier use:

`alias @=timetracker`

#Using timetracker

Just invoke timetracker followed with a string of whatever you're working on:

`@ repaired the flux capacitor`

If invoked without arguments, it will prompt you to type a note.

timetracker will save your note, timestamped, into a .log file stored as follows:

`$ROOT/YYYY/MM/dd.log`

By default, $ROOT will be a `timetracker` directory in your home folder.
You can change that by editing the config file `~/.config/timetracker/timetracker.conf`; it look as follows:

````
root = '~/location/to/other/folder'
time_format = '%H:%M'
`````

`root` is where the logs will be stored; `time_format` indicates how dates will be structured in the log files.

#Tips

You can integrate it in your workflow in a nice way; for example, by writing a script that will invoke it every hour, or every time you do a `git commit`, etc.
A good way to not forget about it is to have your terminal greeting remind you to use it!

The program is fairly smart with appending to existing files etc., so you can configure it to write to your Dropbox folder (or whatever other data backup system you use) - in that way, you can keep track of your notes across computers :)
daum_openapi 0.1
Python Library of Daum Open Data API
License: MIT
Keywords: daum openapi

Python library for Daum Open Data API.

Daum OPEN API : http://dna.daum.net/apis

Installation
=============
pip install daum_openapi

Features
=============
* JSON response keys to class member variables.
* Convert XML response to JSON and then keys to class member variables.



Usage
=============
**search : blog**

>>> from daum_openapi.search import search
>>> sc = search(API_KEY)
>>> result =  sc.blog(u'coldplay', 10, 1, 'date', 'xml')
>>> {
>>>  "channel":
>>>  {
>>>    "result":"10",
>>>    "pageCount":"800",
>>>    "title":"Search Daum Open API"
>>>    "item": [
>>>              {"title":"Coldplay - viva la vida", "description":"viva la vida new song"},
>>>              {"title":"YELLOW", "description":"Yellow lyrics"}
>>>            ]
>>>
>>>  }
>>> }
>>> result.channel.result  //"10"
>>> result.channel.pageCount //"800"
>>> result.channel.title  //"Search Daum Open API"
>>> result.channel.item[0].title  //"Coldplay - viva la vida"
>>> result.channel.item[1].description   //"Yellow lyrics"
tvdosage 0.1.3
Keep your Tv Series dose going
License: MIT

TvDosage
======

"Keep your Tv Series dose going"

A tool that let's you download and keep tracking your favourite tv series. 
Also providing a Junky mode in wich the program tries to download the series chapters in a way that allows you to see all of them in a row.

Usage
------


You need to Enable the Transmission RPC Service. 

For that you need to Start transmission, click in edit/preference, then click in the web tab and select "Enable Web Client"

![transmission](https://raw.github.com/jairot/dosage/master/transmision.png)



Start the DosageDaemon:

    dosagedaemon start

Start tracking a tv series:

    tvdosage --track "Mad Men"

stop tracking a tv series:

    tvdosage --untrack "Mad Men" 

Setup a tv series in Junky Mode:

    tvdosage --junky "Breaking Bad"

Check all the available commands:

    tvdosage --help

Instalation
-----

Try TvDosage!!. It only works on GNU/Linux environmet with the transmission torrent Client

first install the python environment tools:

    sudo apt-get install python-dev python-pip

Then you download and start the dosagedaemon:

    sudo pip install tvdosage

Enable the Transmission RPC Service. For that you need to Start transmission, click in edit/preference, then click in the web tab and select "Enable Web Client"

Start the DosageDaemon:

    dosagedaemon start

then you can add any tv series using the commands above.
    
Do you test this Shit?
----------------------

[![Build Status](https://travis-ci.org/jairot/dosage.png?branch=master)](https://travis-ci.org/jairot/dosage)
nibbler-python 0.0.2
nibbler-python - Better email parser
License: MIT
Keywords: email parser esp sendgrid

nibbler-python helps you parse for valid email addresses in Python projects

Example Usage
-------------
    from nibbler.parser import parse_email

    # valid email
    parse_email('"much.more unusual"@example.com')

    # invalid email
    parse_email('Abc.example.com')

Contribute
----------
This library is hosted on Github and you can contribute there:
https://github.com/sendgridlabs/nibbler-python