-
python3-microsoft-kiota-serialization-text-1.9.6-1.lbn36.noarch
Microsoft Kiota Text Serialization library
The Microsoft Kiota Text Serialization Library is a python implementation to serialize/deserialize text/plain.
A Kiota generated project will need a reference to a json serialization package to handle json payloads from an API endpoint.
Read more about Kiota here.
Using the Microsoft Kiota Text Serialization library
In order to use this library, install the package by running:
pip install microsoft-kiota-serialization-text
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https:/cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-microsoft-security-utilities-secret-masker-1.0.0~b3-1.lbn36.noarch
Microsoft Security Utilities - Secret Masker
microsoft-security-utilities-secret-masker is part of the Microsoft Security Utilities used internally. You can find the related .NET SDK package here. This Secret Masker Python library focuses on:
providing some built-in detection rules in json format
detecting sensitive data for given input
masking sensitive data with simple symbols or sha256 hash for given input
Installation
You can install the package via pip:
pip install microsoft-security-utilities-secret-masker
Usage
You can use the SecretMasker class to detect and mask sensitive data in your input. Here is an example:
from microsoft_security_utilities_secret_masker import SecretMasker, load_regex_patterns_from_json_file
precisely_classified_regex_patterns = load_regex_patterns_from_json_file('PreciselyClassifiedSecurityKeys.json')
unclassified_regex_patterns = load_regex_patterns_from_json_file('UnclassifiedPotentialSecurityKeys.json')
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill-2.6.0-3.lbn36.noarch
papermill is a tool for parameterizing, executing, and analyzing Jupyter
Notebooks.
Papermill lets you:
- parameterize notebooks
- execute notebooks
This opens up new opportunities for how notebooks can be used. For example:
- Perhaps you have a financial report that you wish to run with different
values on the first or last day of a month or at the beginning or end of the
year, using parameters makes this task easier.
- Do you want to run a notebook and depending on its results, choose a
particular notebook to run next? You can now programmatically execute a
workflow without having to copy and paste from notebook to notebook manually.
Papermill takes an opinionated approach to notebook parameterization and
execution based on our experiences using notebooks at scale in data pipelines.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill-2.6.0-3.lbn36.noarch
papermill is a tool for parameterizing, executing, and analyzing Jupyter
Notebooks.
Papermill lets you:
- parameterize notebooks
- execute notebooks
This opens up new opportunities for how notebooks can be used. For example:
- Perhaps you have a financial report that you wish to run with different
values on the first or last day of a month or at the beginning or end of the
year, using parameters makes this task easier.
- Do you want to run a notebook and depending on its results, choose a
particular notebook to run next? You can now programmatically execute a
workflow without having to copy and paste from notebook to notebook manually.
Papermill takes an opinionated approach to notebook parameterization and
execution based on our experiences using notebooks at scale in data pipelines.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+all-2.6.0-3.lbn36.noarch
This is a metapackage bringing in all extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+azure-2.6.0-3.lbn36.noarch
This is a metapackage bringing in azure extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+black-2.6.0-3.lbn36.noarch
This is a metapackage bringing in black extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+gcs-2.6.0-3.lbn36.noarch
This is a metapackage bringing in gcs extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+github-2.6.0-3.lbn36.noarch
This is a metapackage bringing in github extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36
-
python3-papermill+hdfs-2.6.0-3.lbn36.noarch
This is a metapackage bringing in hdfs extras requires for python3-papermill.
It makes sure the dependencies are installed.
Located in
LBN
/
…
/
Data Science
/
BastionLinux 36