On April 14, 9fang Python Programming and artificial Intelligence training class opened in the headquarters of the company. The training aims to improve students' technical understanding of data processing and artificial intelligence, and promote the popularization and development of artificial intelligence technology in the scientific research application of meteorological field through the courses of machine learning, Python programming and numerical model.

The training lasted for three days, and more than 20 people from all over the country engaged in meteorological data processing, data mining and machine learning related direction of enterprises and institutions, researchers from scientific research institutes and undergraduates, masters and doctors participated in the training. Huang Xiaomeng, chief scientist of Jiufang Technology and doctoral supervisor of Earth System Science Department of Tsinghua University, and Liang Yishang, CTO of Jiufang Technology and many other senior experts were invited to give lectures in person.

Through this training, students can make better use of Python language and relevant libraries to process data efficiently, use relevant library functions to assist data mining and understand the auxiliary application of new artificial intelligence technologies to traditional technologies, so as to promote the application of artificial intelligence technologies such as machine learning and deep learning in the field of weather forecasting.