Ordered YAML loader and dumper for PyYAML.
This module provides loaders and dumpers for PyYAML.
acquired package info from repodata DB: repodata/69e709f4d2852d98f12867a74015d19384fe2727ff670fd70178cdde80b1e77e-primary.sqlite.bz2
Persistent/Functional/Immutable data structures
Pyrsistent is a number of persistent collections (by some referred to as functional data structures). Persistent in the sense that they are immutable.
An implementation of JSON Schema validation for Python 3.11
jsonschema is JSON Schema validator currently based on http://tools.ietf.org/html/draft-zyp-json-schema-03
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
The easy-vault Python package provides commands for encrypting and decrypting vault files that can be in any format. It provides for programmatic access to encrypted vault files from Python programs, so that the file itself can stay encrypted in the file system but can still be used by the program in clear text.
Secure server access that is easy to use.
A Python library for securely defining sensitive information for accessing servers (or services), such as logon credentials or API keys.
YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence.