semvec/pypi-packages huggingface dataset:
earthport-rest-api-client 1.0.0
This API supports all services required to make cross border payments using Earthport's network.

EarthportRestApiClient
=================


This SDK uses the Requests library and will work for Python ```2 >=2.7.9``` and Python ```3 >=3.4```.

How to configure:
=================
The generated code might need to be configured with your API credentials. 
To do that, open the file "Configuration.py" and edit its contents.

How to resolve dependencies: 
===========================
The generated code uses Python packages named requests, jsonpickle and dateutil.
You can resolve these dependencies using pip ( https://pip.pypa.io/en/stable/ ).

  1. From terminal/cmd navigate to the root directory of the SDK.
  2. Invoke ```pip install -r requirements.txt```

Note: You will need internet access for this step.

How to use:
===========
After having resolved the dependencies, you can easily use the SDK following these steps.

  1. Create a "earthport-rest-api-client_test.py" file in the root directory.
  2. Use any controller as follows:
```python
from __future__ import print_function
from earthport-rest-api-client.earthport_rest_api_client_client import EarthportRestApiClientClient

api_client = EarthportRestApiClientClient()
controller = api_client.quotes
response = controller.create_bulk_fx_quote(<required parameters if any>)

print(response.fx_ticket_id)

# Or you can print more information
print(vars(response))
```
ts-forecasting-pipeline 0.4.0
Toolset for time series forecasting. Supports both basic modeling and in-production usage.
Keywords: time series,forecasting

Toolset for time series forecasting, based on fundamental data science libraries like Pandas,
statsmodels, sklearn etc.
Supports model design as well as storing and accessing forecasts.
It contains functionality that is both useful for data & model exploration as well as 
integrating into production code.
sqltap-ng 0.3.11
Profiling and introspection for applications using sqlalchemy


sqltap is a library that allows you to profile and introspect the
queries that your application makes using SQLAlchemy.

sqltap helps you quickly understand:

   * how many times a sql query is executed
   * how much time your sql queries take
   * where your application is issuing sql queries from

Full HTML documentation can be generated by sphinx, or browsed online at:
http://sqltap.inconshreveable.com

SQLTap is hosted on github at: https://github.com/inconshreveable/sqltap