WiredQT is a Rapid Application Development (RAD) Tool for Python GUI Development is a reliable python powered program that will give its user advantage in machine learning, IoT systems, embedded systems, and many more!

• Create your own system
• Make some scripts
• Deploy!

It is a compact Rapid Application Development Software designed to make system automation and prototypes in minutes - removing the need to worry about some software subscription.

You need machine learning using Tensorflow 2.0? We got you covered.

No MatLab? No problem.

In this version, you will be able to access the ff. (list may be incomplete);

• GIF animation
• Flask web framework
• DataGrid
• WebSocket
• Keypad
• Liquid crystal
• Serial Port
• Multiple tabulated windows
• Transmission Control Protocol for both Client and Server
• MatPlotLib
• Machine Learning using Tensorflow 2.0, see image below

1. RAD Tools for Python GUI Development requires Python3.7 to run and uses a number of python 3.7 dependencies to work properly:

    pip install PyQt5
    pip install QScintilla
    pip install parso==0.8.2
    pip install jedi==0.18.0
    pip install flask==1.0.4
    pip install pyserial
    pip install requests
    pip install pandas
    pip install pillow
    pip install opencv_python-4.5.2-cp37-cp37m-win32.whl		#from wheel search internet
    pip install pip install opencv-contrib-python
    pip install tensorflow==2.0					#if 64bit system
   

2. Compress and download the whole WiredQt folder.

3. Extract only the WiredQt folder to your root directory, like so

    C:\WiredQt
   

4. Edit the batch file [WiredQT.bat] in your preferred text editor, depending on which directory you want to place python37 and WiredQt for ease of access. In my case, it is;

    path=c:\python37
    python WiredQT.py
   

5. And, you're good to go! Yay!

   Note: Make sure that Python37 is in the same directory as your WiredQT folder. For ease of use, you may download Python37 with added dependencies on this google drive link: Python37 Google Drive

If you found some bugs (which there might be some) you can write in complete detail the bugs you've found in issues. Bugs found must be reproducible, and by providing us how to reproduce the issue will only get the bugs you've found fixed.

Wish to contribute? Awesome! We shall release tutorials as part of future development on how to contribute as our wiki page is still on the works.

Rapid Application Development (RAD) Tools for Python GUI Development is now licensed under the MIT License.