![Annual performance of financial assets since 2010](/content/images/size/w100/2024/04/D_asset_performance.png)
Reporting annual cumulative returns on multiple assets in Python
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
Learn how to process multiple financial assets and include them in a report highlighting each asset's annual performance.
Learn to statistically analyze the stock performance of a company with Python.
Leverage the properties of DatetimeIndex in Pandas for more efficient time series analysis, from formatting the column to creating reports with pivot tables.
Python tutorial to unstack the row categories into columns (long to wide table) to later create a heat matrix.
Learn how to highlight the most valuable cells in a Pandas pivot table that summarizes information on billionaires by country and industry.
Step by step, you'll learn how to download, preprocess, and visualize data from the Spanish Electric Grid's API using Python.
Understand the structure of the EIA API and learn how to use it with Python to automate the downloads and exports into an Excel.
A step-by-step guide to automatically download, export and visualize economic data from the St. Louis Fed using their API with Python.