Introduction In the first two posts, I explained there were four aspects of a blockchain that this series would explore with a backing implementation provided by the Ardan blockchain project. Digital accounts with electronic signatures and verification Transaction distribution and synchronization between computers Redundant storage and consensus by different computers Detection of any fraud to past transactions The first post focused on how the Ardan blockchain provides support for digital accounts, signatures, and verification.

Introduction In the first post, I explained there were four aspects of a blockchain that this series would explore with a backing implementation provided by the Ardan blockchain project. Digital accounts with electronic signatures and verification Transaction distribution and synchronization between computers Redundant storage and consensus by different computers Detection of any fraud to past transactions The first post focused on how the Ardan blockchain provides support for digital accounts, signatures, and verification.

Introduction This is the first post in a series that will explore the semantics and implementation details of the Ardan blockchain project. The code is a reference implementation of a blockchain and not intended to mirror any specific blockchain in use today. Even though the code has been engineered with production level coding standards, I wouldn’t use this project for anything more than learning. I am using the Ethereum project as a reference and have taken inspiration from that code.

Introduction You’d like to visualize some stock data using Go, but after looking at the Go ecosystem you see very little in charting. You find gonum, which has some plotting capabilities, but it generates static charts. It’s 2022, and you’d like to have interactive features such as zooming, panning, and more. You turn to the HTML landscape, and see many more options and decide to take this path. After a short survey, you decide to use plotly.

Introduction You are jogging and want to show off your route to your friends. Let’s imagine the data you have for your route is a CSV file in the following format: Listing 1: track.csv time,lat,lng,height 2015-08-20 03:48:07.235,32.519585,35.015021,136.1999969482422 2015-08-20 03:48:24.734,32.519606,35.014954,126.5999984741211 2015-08-20 03:48:25.660,32.519612,35.014871,123.0 2015-08-20 03:48:26.819,32.519654,35.014824,120.5 2015-08-20 03:48:27.828,32.519689,35.014776,118.9000015258789 2015-08-20 03:48:29.720,32.519691,35.014704,119.9000015258789 2015-08-20 03:48:30.669,32.519734,35.014657,120.9000015258789 Listing 1 shows the first few lines of track.csv. Each line contains a time stamp in UTC, latitude, longitude and height above sea level in meters.

Introduction You are about to visit Boston, and would like to taste some good food. You ask your friend who lives there what are good places to eat. They reply with “Everything is good, you can’t go wrong”. Which makes you think, maybe I should check where not to eat. The data geek in you arises, and you find out that the city of Boson has a dataset of food violations.

The Question When you work on data science problems, you always start with a question you’re trying to answer. This question will affect the data you pick, your exploration process, and how you interpret the results. The question for this article is: How much (in percentage) should you tip your taxi driver? To answer the question, we’ll use a portion of the NYC Taxi dataset. The data file we’ll be using is taxi-01-2020-sample.

Introduction You write a server for a massively multiplayer online role-playing game (MMORPG). In the game, players collect keys and you want to design how to store the set of keys each player has. As an example, imagine the set of keys are copper, jade and crystal. You consider the following options for storing a player key sets: []string map[string]bool Both options will work, but did you consider a third option of using a bitmask?

Introduction If you can write a for-loop, you can do statistics. - Jake Vanderplas A lot of developers shy away from problems which involve statistics or probability. Which is shameful since in today’s data-rich environment, you can gain a lot of insights from data. In this blog post, I’ll show you how to write a simulation tool which requires no knowledge in statistics or probability. Simulations are easy to write and can be a very effective tool in research.

Introduction I prefer to use relational (SQL) databases in general since they provide several features that are very useful when working with data. SQLite is a great choice since the database is a single file, which makes it easier to share data. Even though it’s a single file, SQLite can handle up to 281 terabytes of data. SQLite also comes with a command line client called sqlite3 which is great for quick prototyping.