Everything you need to know to get started with NumPy
If you’ve built any back end system in your life, you would know that there is always a need for running period tasks.
This tutorial explains the basics of TensorFlow 2.0 with image classification as the example. 1) Data pipeline with dataset API. 2) Train, evaluation, save and restore models with Keras. 3) Multiple-GPU with distributed strategy. 4) Customized training with callbacks
Pythons xlwings is a tool that allows you to use Python code to control and analyze data in Excel spreadsheets. This tutorial will help you get started.