Learn how to manipulate and analyze data from .root files using Uproot in Python. This tutorial covers installing Uproot, flattening jagged arrays, iterating through data, and working with Pandas dataframes for in-depth analysis, debugging, and visualization.

1 views • 16 slides

In this chapter, we explore how to transfer data between CSV files, MySQL databases, and Pandas using Python. We learn about the CSV file format, creating CSV files, and reading data from CSV files into Dataframes. This chapter provides insights into efficient data management techniques using Pandas

1 views • 11 slides

A comprehensive guide providing side-by-side code examples in Stata, Python, and R, facilitating easy translation between the languages. It covers setting up Python for Stata, handling dataframes, storing datasets, working with log files, merging datasets, describing and summarizing data, and more.

1 views • 21 slides