Technical requirements

Throughout this chapter, I’ll be providing various code samples while using the Python, C++, and Golang Arrow libraries and the public NYC Taxi Trip Duration dataset.

To run the practical examples in this chapter, you will need the following:

• A computer that’s connected to the internet
• Your preferred IDE (VS Code, Sublime, Emacs, Vim, and so on)
• Python 3.8+ with the pyarrow, pandas, and polars modules installed
• Go 1.21+
• A C++ compiler (capable of compiling C++17 or newer) with the Arrow libraries installed
• The sample_data folder from this book’s GitHub repository: https://github.com/PacktPublishing/In-Memory-Analytics-with-Apache-Arrow-Second-Edition
  • git-lfs is required to be installed to download the sample data; instructions to install it are provided in this chapter

Let’s get started!