Automating Bulk netCDF File Download Process using Python [Part 2]

This is the second tutorial video of the Handling netCDF Files using Python tutorial series. In this tutorial, you will learn how to bulk download temperature and precipitation data products from Asian Precipitation -- Highly-Resolved Observational Data Integration Towards Evaluation of the Water Resources (APHRODITE's water resources) website in netCDF format using a Python script. In the following parts of this tutorial series, you will learn how to use Python to effectively read, manipulate, analyze and visualize the data from these downloaded netCDF files. Link to APHRODITE's water resources - http://www.chikyu.ac.jp/precip/english/ Panoply netCDF viewer - https://www.giss.nasa.gov/tools/panoply/ Download the Python script - https://drive.google.com/open?id=1z8GT9_DhM8zSljox82oSa0Bm-Jp-0-sd ⭐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