This tutorial is for beginners, and it guides you through the practical process of visualizing forex data, considering the least or no knowledge of Python. Let us have an overview of the libraries and setup we will use before we begin.
You can quickly manipulate the data, including converting and storing it in various forms using pandas, an open-source Python library. For convenience, we will use the Jupyter Notebook, an open-source web app for creating documents and programming different languages. This tutorial shows you how to obtain, change, and store forex data from JSON API and explores pandas, Jupyter Notebook, and DataFrame during this process.