semvec/pypi-packages huggingface dataset:
xpy 0.0.11
It's like Python but now with more "x"
License: MIT
Keywords: xpy

XPY
===

This is an "eXtended" Python console, which really just means a Python console
done just the way that I like it.  Primarily, this means enhanced readline
history support, and X clipboard utilities.

1. Python readline history is now stored in git, by default under a repository
   named ~/.pyhist

2. Multiple instances of the console will have their histories union-merged
   under the shared git repo.  This means no more clobbering of readline
   history.

3. X Clipboard helper called Clip, e.g., Clip.run(), Clip.read_to_history(),
   Clip.write_from_history(), etc. are available and made visible to the xpy
   console.

4. The fancy, colorized, full-stack exception traceback display may help you to
   analyze code issues.

5. The xpy console can be inserted into code using

     import xpy; xpy.xpy_start_console()

   This will break into an interactive console local to the current frame.  It
   is not a debugger, but it is an ordinary interactive Python console.  Any
   code runs within the scope of the frame where the command is run.

6. Script commands include xpy (autogenerated, slower startup), xpy2, and xpy3
   for starting an interactive console.  It can also be started with python -m
   xpy or python3 -m xpy.  The console is exited with Ctrl-D.

7. Tab completion that works within the local console frame.
prun 0.3.1
A convenience app for working with virtual environments like a breeze.
License: MIT
Requires Python: >=3
Keywords: virtual environment venv .venv virtualenv pipenv

# prun readme

*prun* is a convenience app for working with virtual environments.
Use *prun*  within a folder structure that has a virtual environment folder 
to automatically work with the python of the virtual environment.


First, create a local virtual environment in the *.venv* folder. 
This can be done using the virtualenv package.

```
python -m virtualenv .venv
```


The path to the python executable of the local virtual environment can be printed using the following command:

```
prun -show
```


*prun* can be used to install python packages in the local virtual environment.

```
prun pip install numpy
```


Running a python file, using the python executable from the local virtual environment is easy with *prun*.

```
prun script.py arg0 arg1
```


When executing *prun* without any extra command line arguments, 
the python of the virtual environment will be executed.

```
prun
```

*prun* can run any command line command.

```
prun command arg0 arg1 ...
```