This post is based on a talk I recently gave to my colleagues about Airflow.
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.
In this step-by-step tutorial, you’ll learn how to use PyGame. This library allows you to create games and rich multimedia programs in Python. You’ll learn how to draw items on your screen, implement collision detection, handle user input, and much more!