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python3-jinja2-3.1.6-1.lbn36.noarch
Jinja2 is a template engine written in pure Python. It provides a
Django inspired non-XML syntax but supports inline expressions and an
optional sandboxed environment.
If you have any exposure to other text-based template languages, such
as Smarty or Django, you should feel right at home with Jinja2. It's
both designer and developer friendly by sticking to Python's
principles and adding functionality useful for templating
environments.
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python3-jinxed-1.2.0-1.lbn36.noarch
.. start-badges| |docs| |appveyor| |travis| |codecov| | |pypi| |supported-
versions| |supported-implementations| | |linux| |windows| |mac| |bsd|.. |doc ..
|appveyo .. |travis| image::
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python3-jmespath-1.0.1-2.lbn36.noarch
JMESPath allows you to declaratively specify how to extract elements from
a JSON document.
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python3-joblib-1.4.2-5.lbn36.noarch
Joblib is a set of tools to provide lightweight pipelining in Python.
In particular, joblib offers:
* transparent disk-caching of the output values and lazy
re-evaluation (memorize pattern)
* easy simple parallel computing
* logging and tracing of the execution
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python3-jose-3.3.0-13.fc36.noarch
The JavaScript Object Signing and Encryption (JOSE) technologies - JSON Web
Signature (JWS), JSON Web Encryption (JWE), JSON Web Key (JWK), and JSON Web
Algorithms (JWA) - collectively can be used to encrypt and/or sign content
using a variety of algorithms. While the full set of permutations is extremely
large, and might be daunting to some, it is expected that most applications
will only use a small set of algorithms to meet their needs.
As of 3.3.0, python-jose implements three different cryptographic backends. The
backend must be selected as an extra when installing python-jose. If you do not
select a backend, the native-python backend will be installed.
Unless otherwise noted, all backends support all operations.
Due to complexities with setuptools, the native-python backend is always
installed, even if you select a different backend on install.
1. cryptography
* This backend uses pyca/cryptography for all cryptographic operations.
This is the recommended backend and is selected over all other
backends if any others are present.
* Installation: dnf install python3-jose+cryptography
* Unused dependencies:
- rsa
- ecdsa
- pyasn1
2. pycryptodome
* This backend uses pycryptodome for all cryptographic operations.
* Installation: not available because pycryptodome (which, unlike
pycryptodomex, conflicts with pycrypto) is not packaged
* Unused dependencies:
- rsa
3. native-python
* This backend uses python-rsa and python-ecdsa for all cryptographic
operations. This backend is always installed but any other backend
will take precedence if one is installed.
* Installation: dnf install python3-jose
Note
The native-python backend cannot process certificates.
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python3-js2py-0.74-1.lbn36.noarch
Translates JavaScript to Python code. Js2Py is able to translate and execute
virtually any JavaScript code.Js2Py is written in pure python and does not have
any dependencies. Basically an implementation of JavaScript core in pure
python. import js2py f js2py.eval_js( "function $(name) {return name.length}" )
f("Hello world") returns 11Now also supports ECMA 6 through...
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python3-jsonpath-rw-1.4.0-7.fc36.noarch
This library provides a robust and significantly extended implementation of
JSONPath for Python, with a clear AST for meta-programming.
This library differs from other JSONPath implementations in that it is a full
language implementation, meaning the JSONPath expressions are first class
objects, easy to analyze, transform, parse, print, and extend.
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python3-jsonschema-4.23.0-1.lbn36.noarch
jsonschema is an implementation of the JSON Schema specification for Python.
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python3-jsonschema-4.23.0-1.lbn36.noarch
jsonschema is an implementation of the JSON Schema specification for Python.
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python3-jupyter-client-8.4.0-1.lbn36.noarch
Jupyter Client
jupyter_client contains the reference implementation of the Jupyter protocol.
It also provides client and kernel management APIs for working with kernels.
It also provides the jupyter kernelspec entrypoint
for installing kernelspecs for use with Jupyter frontends.
Development Setup
The Jupyter Contributor Guides provide extensive information on contributing code or documentation to Jupyter projects. The limited instructions below for setting up a development environment are for your convenience.
Coding
You'll need Python and pip on the search path. Clone the Jupyter Client git repository to your computer, for example in /my/project/jupyter_client
cd /my/projects/
git clone git@github.com:jupyter/jupyter_client.git
Now create an editable install
and download the dependencies of code and test suite by executing:
cd /my/projects/jupyter_client/
pip install -e ".[test]"
pytest
The last command runs the test suite to verify the setup. During development, you can pass file
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