So is Microfot trying to make it easier for developers to install Python on Windows 10. Are they just trying to stay relevant for both cloud and Machine learning as Google releases Tensor Flow 2 with Colab? I explain all this in an opinion video so I would be interested to hear what you have to say. Here is the Microsoft article below
https://www.youtube.com/watch?v=RynT-XzrtGAAll popular tools included for Python development
Here are installation instructions for installing instructions for the popular tools like Jupyter and Anaconda integrated development environment. I can tell you from my own experience many popular Python packages will not work on Windows for some reason. Please keep that in mind.
Video on how to install Google TensorFlow into Python 3
I falled to install Redis 4 with this library
It might be wise to separate the two libraries. I did try to install LUA with Torch Machine Learning library but running Redis with the Lua script with a ‘require’ for Torch failed. The Redis execution of this combo will fail since it does not recognize other libraries including Torch with the Lua require statement for the library.
As a result, you will need to use TensorFlow with a script with separate Redis call to handle the data for request or pushing in the data. As a result, it will be difficult to embed a machine learning functionality script (with Torch) with Redis to embed. it seems very strict to not enable this.
This video is only useful to how to install TensorFlow into your Python 2 or 3 environment.
Qt Creator has had support for python since version 2.8. The latest version is 3.3.
As you mention, with PyQt, licensing for commercial development ins’t free.
The tool currently doesn’t work with using QML Controls and I haven’t updated it since creating it since I primarily do web development at the moment.
All the tools you need are included in Ubuntu repositories. You must install the package qtcreator, which has an integrated QtDesigner, and the package pyqt5-dev-tools, which provides pyuic5, a utility that generates Python code from .ui files.