This is the first version of GRF package for Panama.
Project description
This is my simple project
This is the project README.
As said in the LICENCE file, this package is only for use under explicit premission of the GRF team.
The project contains several modules, each one included in only one of the following bins: A: Structure and general modules, used in all the other modules. ML: Local modules, related with local run scripts. MN: Cloud modules, related with cloud run scripts. Z: Testing modules. Show the structure of the executing code for production in local or cloud environments.
All the required packages are included in setup.py except blpapi (due to legal restrictions). For this package, please use the next code for installing in your local. This package is only used for local processes, so you must not use it in any cloud run function.
py -m pip install --index-url https://blpapi.bloomberg.com/repository/releases/python/simple/blpapi
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyrisks_grf-0.0.9.tar.gz.
File metadata
- Download URL: pyrisks_grf-0.0.9.tar.gz
- Upload date:
- Size: 67.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b48c54a2feb1740cbbe001f055a461b731b803c0fa79073bd1fd71268a75e98f
|
|
| MD5 |
619b8a7637d4430891136499bb3782fb
|
|
| BLAKE2b-256 |
bf284777a8c9d707099d8c7c3e522d463a22525ab69867fd1e9878a28d6dc7d8
|
File details
Details for the file pyrisks_grf-0.0.9-py3-none-any.whl.
File metadata
- Download URL: pyrisks_grf-0.0.9-py3-none-any.whl
- Upload date:
- Size: 75.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
40f1dfb210e407cba4784e57c7b1fc0647993c341d4e8dd6ea6fe120c6274956
|
|
| MD5 |
7f18541e692371d7f1ec0b949cf7bcbf
|
|
| BLAKE2b-256 |
83c2a08fc3a62b049656b25f35c91ffaf16c9c8f7c8598b284059fc7d1ab9a04
|
