This tutorial shows you how to convert the raster values into a time series, for multiple locations using Python scripting. The Python libraries used in this tutorial are GeoPandas, Pandas, Numpy, Scipy, Rasterio and Os. Download the exercise files - https://drive.google.com/open?id=15qXC3zD_pYvlq0jtG02qzNsMuYnBO6GY Tutorial on How to Download and Convert CHIRPS Gridded Satellite Rainfall Data into Time Series using Python - https://www.youtube.com/watch?v=_uaVrSeLFmA&t=56s How to install Spyder IDE with Anaconda distribution - https://www.youtube.com/watch?v=YO6QgvgOz6U&t=23s Introduction to GIS Analysis with GeoPandas using Python - https://www.youtube.com/watch?v=slqZVgB8tIg&t=987s How to Install Python GeoPandas - https://www.youtube.com/watch?v=310Es1ERf1M How to Install Rasterio Python Library - https://www.youtube.com/watch?v=S-u8qXRWELg&t=143s ⭐NOTE: ‘Kite’ is an excellent tool that can help you boost your productivity when it comes to programming with its free Artificial Intelligence (AI) powered coding assistant. Kite is a plugin which provides smart completions and documentation as you’re typing-in your code, and its compatible with most of the well-known IDEs such as PyCharm, Spyder and VS Code. I absolutely love it, and recommend you guys to try it out as well. https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=geodelta&utm_content=description-only