Learning Python for Finance: How to get Started with Advanced Financial Forecasting in Python?

Learn how to use libraries such as Prophet, Tensorflow, Keras and Scikit-learn

This is the 1st of a series of Articles about learning Python for Finance. You will be able to see the link to the second article in here next week.

Python has become one of the most popular programming languages in the world of finance, and for good reason. Python’s rich ecosystem of libraries makes it a powerful tool for data analysis, visualization, and modeling.

In this article, we will explore how to get started with advanced financial forecasting in Python using some of the most popular libraries available.

What are these Amazing Libraries for Financial Forecasting in Python?

1. Prophet: Developed by Facebook, Prophet is an open-source time series forecasting library that can be used for predicting financial trends. It is easy to use and can handle seasonalities and trends.
2. PyFlux: PyFlux is a time series forecasting library that is built on top of Pandas, NumPy, and PyMC3. It provides a range of statistical models for time series analysis and prediction, including ARIMA, GARCH, and…