semvec/pypi-packages huggingface dataset:
goda 0.0.1
Python library to work with government open data
Requires Python: >=3.6

--------------------------------------------------------
# goda: Python library to work with government open data

## What is it?

Description...

## Main Features

Description...

## Where to get it
Description...

## Dependencies

- [pandas](https://pandas.pydata.org/index.html)
- [geopandas](geopandas)

## License

[BSD 3](https://github.com/Charles-Darwing-Data-Community/goda/blob/master/LICENSE)
keepfresh 0.0.5
Filesystem event polling
Keywords: FILESYSTEM,EVENT,POLLING

# KeepFresh

A command line interface for polling changes in a directory and either logging or triggering a termination and restart of a provided command.
Watchdogs' utility tool watchmedo should be used as opposed to this. This was created due to lack of Watchdog documentation regarding running the tool in CLI with the polling mode.

This was developed for the usecase of hot-reloading in a Docker container where the host has a volume mount in the container.

Currently the provided directory is searched recursively for all file types, with the ability to ignore certain directories, and to consider either all file types, or specific file types.

## Installation
```
pip install keepfresh
```
Which will install `keepfresh` as a command.

## Usage
```
usage: keepfresh [-h] [-d D] [-e E [E ...]] [-x X [X ...]]
                 {log,auto-restart} ...

optional arguments:
  -h, --help          show this help message and exit
  -d D                Directory (if not specified, defaults to current directory)
  -e E [E ...]        Excluded directories
  -x X [X ...]        File extensions to watch (if not specified, all are watched)

actions:
  {log,auto-restart}
    log               Run the logging monitor
    auto-restart      Run the command auto-restarter
```

## Examples
Usage for logging event changes:
(This example logs any changes in the current directory ('.') at a 1 second polling interval, we haven't specified filetypes or excluded directories, so all are watched)
```
$ keepfresh log -i 1 -d .
```

Usage for auto-restarting a command:
(This example polls the current directory. No directory is specified, so it defaults to the current directory. -c is the command to terminate and restart when changes are detected)
```
$ keepfresh auto-restart -c echo "Hello World"
```

If you only want to consider certain file types, use the `x` parameter
(This example polls every second in the current directory with logging, but only looks at .py and .txt files
```
$ keepfresh log -i 1 -x py txt
```
micropython-agps 0.1.1
Assisted location services for MicroPython

micropython-agps
----------------

For use with [micropython on GPRS module A9/A9G](https://github.com/pulkin/micropython/tree/master/ports/gprs_a9).

Examples
--------

### Location over internet connection:

```python
# Enable data connection
import cellular
cellular.gprs("apn", "user", "pass")

# Get location
import agps
agps.get_location_opencellid(cellular.agps_station_data(), "api-token") # Please visit https://opencellid.org for getting your API token
(3.484547378491735, 78.86739615869062)
```

### Location using local database:

Create a binary database of GSM cells:

```bash
./bs-dl.py --mcc 234 --mnc 3 --circle=-0.118092,51.509865,3 -v --token api-token # Please visit https://opencellid.org for getting your API token
```

Filtering is done through entries `mcc` - mobile country code, `mnc` - mobile network code and `circle` - location and radius of a circle with cells.
All entries are optional, however, the full worldwide database is as large as 1Gb.
Providing `mcc` and `mnc` will reduce the databse size down to few Mb.
Providing a `circle` will further filter data towards the circular area specified: 3 km of urban area results in around 10Kb of data.

Note that the token is optional: without a proper token, the script will fall back to a git mirror which may contain outdated data.

Then, upload the database to the module (note the file name):

```bash
ampy --port /dev/ttyUSB0 put 234-3.bin
```

Finally, determine the location (no data connection needed):

```python
# Get location
import agps
import cellular
agps.get_location_local(cellular.agps_station_data(), "234-3.bin")
(3.484547378491735, 78.86739615869062)
```

Raw data
--------

Please find [here](https://github.com/pulkin/agps-data).
topsis-pypck 0.2.2
Topsis implementation package
Requires Python: >=3.6

# TOPSIS implementation in python 

>Project1 for DATA ANALYSIS AND VISUALISATION(UCS633) 
>Nishchay Mahajan COE18
>Roll number: 101703377

Output is a dataframe with 3 columns
 - **Alternatives** serial number
 - Corresponding performance **Score** or closeness to ideal solution
 - **Rank**

## Installation
`pip install topsis-pypck`

## Upgrade
`pip install topsis-pypck --upgrade`

## To use via command line
`python3 topsis.py file.csv "0.25,0.25,0.25,0.25" "-,+,+,+"`


## To use in python IDLE
```
>>>from topsis_pypck.topsis import topsis
>>> f= "file.csv"
>>> w = [1,1,1,1]
>>> im = ["+" , "+" , "-" , "+" ]
>>>topsis(f,w,im)
```

## Output

```
  Model     Score    Rank
-------  --------  ------
      1  0.534277       3
      2  0.308368       5
      3  0.691632       1
      4  0.534737       2
      5  0.401046       4

```
degenome 0.1.0
Pipeline to convert differential gene expression matrices to Ideogram JSON

DEGenome – Differential expression across the genome
====================================================
|Build| |Coverage|

DEGenome transforms differential gene expression data to Ideogram_ JSON.

`Read the docs`_, and try the `DEGenome tutorial on Terra
<https://app.terra.bio/#workspaces/degenome/degenome/notebooks/launch/degenome-tutorial.ipynb>`_!

.. |Build| image:: https://img.shields.io/circleci/build/github/eweitz/degenome.svg
  :target: https://circleci.com/gh/eweitz/degenome
.. |Coverage| image:: https://codecov.io/gh/eweitz/degenome/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/eweitz/degenome
.. _Ideogram: https://github.com/eweitz/ideogram
.. _Read the docs: https://degenome.readthedocs.io