semvec/pypi-packages huggingface dataset:
LIAL-launcher-tools 1.0.0
Library to manage app launching and updating
Requires Python: >=3.10

# launcher_tools

**launcher_tools** est une librairie Python pour gérer le lancement et la mise à jour d'applications Windows avec support des configurations locales et réseau, gestion des mises à jour, et impersonation d'utilisateur.

## Installation

```bash
pip install launcher_tools
rs-mrt-dau-utilities 0.7.0
Helpers to process and visualize measurement data from Rohde & Schwarz MRT DAU
Requires Python: >=3.11

=====================
 rs-mrt-dau-utilities
=====================

.. image:: https://img.shields.io/pypi/v/rs-mrt-dau-utilities.svg
   :target: https://pypi.org/project/rs-mrt-dau-utilities/

.. image:: https://readthedocs.org/projects/sphinx/badge/?version=master
   :target: https://rs-mrt-dau-utilities.readthedocs.io/

.. image:: https://img.shields.io/pypi/l/rs-mrt-dau-utilities.svg
   :target: https://pypi.python.org/pypi/rs-mrt-dau-utilities/

.. image:: https://img.shields.io/pypi/dm/rs-mrt-dau-utilities.svg
   :target: https://pypi.python.org/pypi/rs-mrt-dau-utilities/

rs-mrt-dau-utilities package provides two convenient modules for Rohde & Schwarz Data Application Unit (DAU):

* `ip_analysis` module for creating Polars dataframes from the SCPI results.
* `delay` module for creating Polars dataframes from the centralservice.log file.

ip_analysis code:

.. code-block:: python

   from RsInstrument import *
   import rs_mrt_dau_utilities.ip_analysis as ipana

   cmx = RsInstrument('TCPIP::10.102.20.55::hislip0')
   iden = cmx.query("*IDN?")
   print(iden)
   ip_analysis_res=cmx.query('FETCh:DATA:MEASurement:IPANalysis:RESult?')
   parsed_sequences = ipana.ipanalysis_parse_scpi_result(ip_analysis_res)

   list_of_dfs = ipana.ipanalysis_init_dataframes()

   for sequence in parsed_sequences:
      for message in sequence['json_messages']:
            ipana.ipanalysis_update_dataframes(list_of_dfs, message)

   print(list_of_dfs)

delay code:

.. code-block:: python

   import rs_mrt_dau_utilities.delay as delay

   log_file_path = 'centralservice.log'
   delay_df = delay.extract_delay_from_log(log_file_path)

   print(delay_df)

Installation
------------
You can install the package via pip:

.. code-block:: bash

   pip install rs-mrt-dau-utilities

Note on Windows: You need the following additional dependencies if you get the error below:
.. code-block:: bash

   error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/

You can install them with this command:
.. code-block:: bash

   vs_buildtools.exe --norestart --passive --downloadThenInstall --includeRecommended --add Microsoft.VisualStudio.Workload.NativeDesktop --add Microsoft.VisualStudio.Workload.VCTools --add Microsoft.VisualStudio.Workload.MSBuildTools


Check out the full documentation on `ReadTheDocs <https://rs-mrt-dau-utilities.readthedocs.io/>`_.
sciris 3.2.6
Fast, flexible tools to simplify scientific Python
Requires Python: >=3.9
Keywords: scientific Python, utilities, dates, file I/O, data structures, dataframes, plotting, colormaps, parallelization, math, optimization, versioning

Welcome to Sciris
=================

.. image:: https://badgen.net/pypi/v/sciris/?color=blue
 :target: https://pypi.org/project/sciris

.. image:: https://static.pepy.tech/personalized-badge/sciris?period=total&units=international_system&left_color=grey&right_color=yellow&left_text=Downloads
 :target: https://pepy.tech/project/sciris

.. image:: https://img.shields.io/pypi/l/sciris.svg
 :target: https://github.com/sciris/sciris/blob/main/LICENSE

.. image:: https://github.com/sciris/sciris/actions/workflows/test_sciris.yaml/badge.svg
 :target: https://github.com/sciris/sciris/actions/workflows/test_sciris.yaml?query=workflow


What is Sciris?
---------------

Sciris is a library of tools that can help make writing scientific Python code easier and more pleasant. Built on top of `NumPy <https://numpy.org/>`_ and `Matplotlib <https://matplotlib.org/>`_, Sciris provides functions covering a wide range of common math, file I/O, and plotting operations. This means you can get more done with less code, so you can spend less time looking up answers on Stack Overflow or copy-pasting dubious solutions from ChatGPT. It was originally written to help epidemiologists and neuroscientists focus on doing science, rather than on writing code, but Sciris is applicable across scientific domains (and some nonscientific ones too).

For more information, see the full `documentation <https://docs.sciris.org/en/latest/overview.html>`_, the `paper <http://paper.sciris.org>`_, or `GitHub <https://github.com/sciris/sciris>`_.

If you have questions, feature suggestions, or would like some help getting started, please reach out to us at info@sciris.org or `open an issue <https://github.com/sciris/sciris/issues/new/choose>`_.


Installation
------------

Using pip: ``pip install sciris``

Using conda: ``conda install -c conda-forge sciris``

Using uv: ``uv add sciris``

*Requires Python >= 3.7*.


Tests
-----

Sciris comes with an automated test suite covering all functions. You almost certainly don't need to run these, but if you want to, go to the ``tests`` folder and run ``pytest``. See the readme in that folder for more information.