semvec/pypi-packages huggingface dataset:
groc 0.1.3
Streamline your purchase history
License: MIT

# Groc

*Streamline your purchase history*

Groc is a Python CLI designed to help you keep track of purchases. You can enter data manually or via csv, and view various purchase stats.

Installing ✨
--------------
Install and update groc using pip:
```
pip install groc
```
Groc officially supports Python 3.7.


Usage
--------------
```
groc [COMMAND] [flags]
```
See also `groc --help`.



Commands
--------------
**init** ��

Create a groc database in user's home directory. If a database already exists, the command will abort.

To see detailed output, use the `--verbose` flag.
```
groc init
```

**add** ��

Add a purchase to the groc database manually or by reading in a file or directory.

To enter purchase data manually, use the flags `--date`, `--total`, `--store`, `--description`.
The `--date` flag is optional and can be omitted _(the current date will be used)_.
The `--description` flag is optional and can be omitted.

To enter purchases via file or directory, use the `--source` flag provided with the path. Only csv files are currently supported.

Adding a purchase that already exists will abort the action, unless the `--ignore-duplicate` flag is passed; this can be especially useful when adding purchases from a file
or multiple files.
```
groc add --date 2019-01-01 --total 20.00 --store "Awesome Cakes" --description "birthday cake"

groc add --source ./my-purchases/january.csv

groc add --source ./my-purchases/ --ignore-duplicate
```

**delete** ��

Delete a purchase by id by passing the `--id`, `-i` flag. Multiple id flags can be passed.

Passing the flag `--dry-run` will output purchases to be deleted without actually deleting it.

To see complete purchase details of a purchase, use the `--verbose` flag.
```
groc delete --id 2 --dry-run
```

**breakdown** ��

Provides a breakdown of purchases for the current month and year categorized by month.

Target specific months by passing one or multiple month flags like `--month`, `-m` or years like `--year`, `-y`.

To see extended stats, use the `--verbose`.
```
groc breakdown

groc breakdown --month=01 --month=03 --year=2019
```

**list** ��

Lists the latest 50 purchases by default, unless otherwise specified by the `--limit` flag.

View purchases for a specific month by passing in `--month`, `-m` flag, optionally with a year with the `--year`, `-y` flag.
To see all purchases of a month, pass the `--all`, `-a` flag.

To see detailed output, such as purchase id, use the `--verbose` flag.
```
groc list --limit 10

groc list -m 02 --all
```

**reset** ��

Reset a groc database by deleting all entries. The database and schema will not be deleted, so this does not require an init from the user.

Passing the `--dry-run` flag will output the purchase count to be reset.
```
groc reset --verbose
```
alfa 1.1.1
A simple software to get a quick overview of features composing NGS dataset(s).
License: MIT

====
ALFA
====

ALFA provides a global overview of features distribution composing NGS dataset(s). Given a set of aligned reads (BAM files) and an annotation file (GTF format), the tool produces plots of the raw and normalized distributions of those reads among genomic categories (stop codon, 5'-UTR, CDS, intergenic, etc.) and biotypes (protein coding genes, miRNA, tRNA, etc.). Whatever the sequencing technique, whatever the organism.

See all information on `alfa GitHub project page <https://github.com/biocompibens/ALFA>`_.

Contributors
------------
Mathieu Bahin, Benoit Noel, Auguste Genovesio (Biocomp team, IBENS, Paris, France)

Charles Bernard, Leila Bastianelli and Valentine Murigneux