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Welcome to our guide on installing the Rasterio package on a Mac. Rasterio is a powerful library for handling geospatial raster data in Python. In this tutorial, we will walk you through the steps of installing Rasterio on your Mac, including any necessary dependencies. Whether you’re a GIS professional or a data scientist working with geospatial data, this guide will help you get started with using Rasterio in your projects. Let’s get started!

This article with cover various datetime transformations in spark dataframe. For the demo, we are going to use Store Sales dataset available from kaggle.

Working with large datasets in PySpark can be challenging, especially when it comes to cleaning and preprocessing the data. One of the most common tasks in data preprocessing is dropping unnecessary columns from a DataFrame. In this blog post, we will explore how to drop columns from a PySpark DataFrame using the drop() method.