The ArcGIS API for Python is easy to learn and extremely useful for data scientists, GIS administrators, and GIS analysts. One of the features that makes this API so powerful is its integration with Jupyter Notebook. Jupyter Notebook is a web-based integrated development environment (IDE) for executing Python code. Unlike other traditional IDEs that are designed for developers, Jupyter Notebook provides a simple and easy-to-use interface that encourages the Read-Eval-Print Loop (REPL) process that is central to learning how to code in Python… Read more here

Since its official debut in winter 2016, the ArcGIS API for Python has been a huge hit. The API caters to a wide spectrum of ArcGIS users ranging from GIS administrators, DevOps, content publishers, GIS analysts, data scientists, developers and power users. The API provided these users with a Pythonic representation of their GIS… Read more here

This is the second part of a two part series on “Scrum” - an agile project management methodology. Read the part 1 of this article here. Part 1 gave you an introduction to what scrum is, why use it and the various roles members of a scrum team play. The part 2 below gets more technical and elaborates on metrics and tools used in scrum for tracking progress and estimation… Read more here

Companies and organizations have never felt the need to innovate and adapt quickly to changes in market conditions like they face today. This requirement boils down to each individual team in your organization. Thankfully methodologies like agile help us with a framework to accomplish that. Scrum is one such methodology that has gained traction in the last few years. Scrum is simple and sticks with you once you start following it for a few cycles. However there are a lot of terms involved which might feel foreign, especially if you are only familiar with the water flow model of project management. Hence, in this brief two part article series, I aim to get you up to speed with the tools, terms and metrics involved in scrum… Read more here

For someone trying to start out using Python for data analysis, the diversity of terminology can be daunting. This article lists out some of the popular terms you hear going around, groups and explains them in a context.. Read more here

Below are some blogs, tutorials that I authored on remote sensing while I worked as a scientist at the Indian Space Research Org.

• Shadow within shadow
• Programming: A tool read and analyze HDF5 data
• Essentials of image processing
• Programming: A look at Optimum Index Factor algorithm to choose best bands for visualization
• Microwave remote sensing concepts

These are some blogs I wrote when blogging used to be a thing.

• iWatch and a ripe market
• Fun: Why Kochadiiyaan is not an anachronism
• Finance: Nuances in buying a new car
• Geospatial: Satellite remote sensin at the consumer end
• Empirical modeling: Correct until proven otherwise
• Finance: Nuances in buying a used car
• Productivity: New age tools for the researcher
• Travel: Above the abode of clouds
• Fiction: Are you the martian the world is looking for?
• Global food crisis - the urban animal’s work of art
• Travel: A Bangalore fly-by
• Ideas: Solar spheres
• Ideas: Interlinking of Indian rivers
• Ideas: Color of sound