semvec/pypi-packages huggingface dataset:
mgrc 1.0.7
Junior-level package. A small, set of modules package. Developer tools; the syntax is in the programming language, python3.10.
Requires Python: >=3.10

mgrc pypi project python3.10 syntax content text <br> t.py = https://helpwithcode.w3spaces.com/mgrc_t.txt 
<br> help.py = https://helpwithcode.w3spaces.com/mgrc_help.txt 
<br> non-project, My Website = https://glowinggoldenglobe.com 
<br> non-project, my-github-repositories list = https://github.com/GlowingGoldenGlobe
<hr>Developer tool. Timed duration functions. User defines duration. User edits code to apply per elapse duration function for user-specified duration. Functions: ds; dm; dh - description: 
<hr>ds(sec) <br> dm(min) <br> dh(hrs) 
<hr>See url reference, t.py, above, for example syntax-to-edit. Instructions:
<br>When installed, see dir: your-computer/~/your-terminal-window-pip-install-mgrc-directory/lib/python3.10/sitepackages/mgrc/t.py - to edit the t.py file with your user-defined function to run at each per elapse duration, for user-specified duration.
opencv-tools 0.2.1
Simple tools to help with opencv experimenting.
Requires Python: >=3.6

### Simple OpenCV tools
Simple tools I use to make my life easier when working with OpenCV. 

Not very pythonic:
```
cap = cv.VideoCapture(0)
if not cap.isOpened():
    exit()
while True:
    ret, frame = cap.read()
    if not ret:
        break
    cv.imshow('frame', gray)
    if cv.waitKey(1) == ord('q'):
        break
cap.release()
cv.destroyAllWindows()
```

I like this better:
```
with VideoPreview() as vid:
    for frame in Capture(0):
        vid.show(frame)
```

Maybe not everything is explicit, however it's a lot easier to read. 

Likely I'm gonna add more stuff in the future.
streamlit-charticulator 0.0.7
Component to render charticulator templates with streamlit data
Requires Python: >=3.7

# charticulator

Component to render charticulator templates with streamlit data

## Installation instructions 

```sh
pip install charticulator
```

## Usage instructions

```python
import streamlit as st

from charticulator import charticulator

value = charticulator()

st.write(value)