Innovative Applications of Python-based Big Data Analytics in the Financial Field

Abstract

At a time of accelerated digital transformation, the finance field is facing the dual challenges of massive data processing and deep
insight needs. Based on Pythons big data analysis technology, this paper discusses how it empowers the financial field and realizes innovative breakthroughs. From the efficient financial data collection and pre-processing, to the use of machine learning, deep learning algorithms to
build accurate prediction models, and then to the visualization of the presentation of decision-making optimization, in-depth analysis of each
link of the application of the practice, to show that the combination of Python and big data analytics for the financial work of the power of
change, and at the same time, analyze the practice of the process of encountering the technological bottlenecks and the plight of the talent, and
put forward the corresponding solution strategy, At the same time, it analyzes the technical bottlenecks and talent dilemmas encountered in
the process of practice, and puts forward corresponding solution strategies to provide reference for promoting the intelligent development of
the financial field.