semvec/pypi-packages huggingface dataset:
fload 0.0.6
fload is a data processing toolkit.

# fload
fload is a data processing toolkit.
It uses:

    * Json 
    * linux pipe

# Concepts
## Source

Each source outputs a series of json lines

## Pipeline

Each pipeline consumes lines of json, and output new lines of json.

# Modules

## csv

```bash
fload csv xx.csv
```


## imap

### combine doc id:

```bash
fload imap --imap-server=xxx --imap-port=xxx --imap-user=user --imap-pass=PassW0Rd --start-uid-file=mailbox_uid.txt \
| jq -ca '. + {id: (.mailbox + "/" + (.uid|tostring))}' \
```

### incremental scan:

```bash
fload imap --imap-server=xxx --imap-port=xxx --imap-user=user --imap-pass=PassW0Rd --start-uid-file=mailbox_uid.txt \
| jq -ca '. + {id: (.mailbox + "/" + (.uid|tostring))}' \
| fload last_field_to_field --field=uid --dest-file=mailbox_uid.txt
```
speedevo 0.0.5
Pacote utilizado para realizar teste na velocidade de internet e salvando os dados em um .xlxs
Requires Python: >=3.8

speedevo
==============

#### Esse é um pacote que faz teste de velocidade na sua internet e gera um arquivo em .xlsx com as informação do teste.

## Instalação:

```
pip install speedevo
```

## Como usar:

```
from speedevo import speedevo
s = speedevo.Speedevo()
s.speed_test('nomeDoArquivo')

Para a utilização do line e histogram, precisa antes ser gerado o arquivo .xlxs do speed_test
s.line('nomeDoArquivo')
s.histogram('nomeDoArquivo')
```
tc-scraper 0.2
Software Project
Keywords: Software

Python script to analyse Competitive Programming matches from site https://www.topcoder.com/ using BeautifulSoup4. Features available: Problem Ratings (feature not availabe in topcoder), Links to problems, Problemwise analysis!!

## How to install
### Open a new terminal
1. Create a new enlistment for the project:
```console
foo@bar:~$ git clone https://github.com/y0g38h-kum4r/tc_scraper
foo@bar:~$ cd tc_scraper
```

2. Create a new virtual environment
```console
foo@bar:~$ python -m venv env
foo@bar:~$ source env/bin/activate
```

3. Upgrade pip installer
```console
foo@bar:~$ python -m pip install --upgrade pip
```

4.Install the project
```console
foo@bar:~$ pip setup.py install
foo@bar:~$ pip install -e .
```

5. Example 
```console
foo@bar:~$ tc_scraper -h
foo@bar:~$usage: tc_scraper [-h] [-o] [-l] contest_name

positional arguments:
  contest_name        Contest name to analyse

optional arguments:
  -h, --help          show this help message and exit
  -o, --output        Output result to txt file
  -l, --problemlinks  Prints the links to problems
```