Update from 2025: the cryptocurrency boom of 2017 and 2017 and ICOs were an interesting time, huh? It's not my cup of tea anymore. At the same time, I'd like for this post to stand here as a historical artifact, and encourage you to spend your time on more worthwhile things instead.

Thank you for reading my disclaimer. Please enjoy the following post:

When building your smart contract platform—whether on Ethereum or any other blockchain—at some you'll be faced with the question of ownership. In this article, I explain three different types of smart contract ownership and discuss their advantages and disadvantages.

Update from 2025: the cryptocurrency boom of 2017 and 2017 and ICOs were an interesting time, huh? It's not my cup of tea anymore. At the same time, I'd like for this post to stand here as a historical artifact, and encourage you to spend your time on more worthwhile things instead.

Thank you for reading my disclaimer. Please enjoy the following post:

Have you ever wondered how your users can spend ERC20 platform tokens to buy assets and other tokens from you? Or—in more technical terms—how to make sure a smart contract executes a particular function as soon as it receives tokens? This post is all about using the ERC20 functions approve() and transferFrom() to let your users do much more than keeping tokens in a wallet.

Over the years I have found out how important it's to constantly challenge yourself. Coding is craftsmanship. A good craftsman always tries to improve the toolbox they use every day. Code patterns belong in any good toolbox.

Update from 2025: the cryptocurrency boom of 2017 and 2017 and ICOs were an interesting time, huh? It's not my cup of tea anymore. At the same time, I'd like for this post to stand here as a historical artifact, and encourage you to spend your time on more worthwhile things instead.

Thank you for reading my disclaimer. Please enjoy the following post:

I had the tremendous privilege of speaking about creating sustainable token platforms at TokenSky 2018 in Seoul, Korea. I had a great time presenting some ideas that I've come across during my talk. I also encountered a lot of stimulating questions from individuals and companies all interested in enhancing their platform using some kind of blockchain token.

Few things a business owner has to go through are as scrutinous and unpleasant as a data privacy audit.

In Germany, this might include a state commissioner for data protection putting your company's data processing and storage practices under the microscope. Luckily, as it turns out, most of the time you'll already be doing the right thing. Salting user passwords, allowing customers to delete their account, and allowing users to request all personal data that's being stored about them should be business as usual for most of us.

Imagine this: you're pitching an idea for an interesting data science problem that you can solve for your client. The client is sold on the idea and wants to immediately know how fast you can get it done, and more importantly, what the project milestones are.

A great method to improve memory usage of Pandas DataFrames is by converting columns with categorical variables to use the data type categorical.

The Pandas API surprises me with a new feature or method almost every day, and I've again discovered an interesting feature.

1. Introduction

The other day I caught myself writing one too many df.groupby() in Pandas, and thought to myself: isn't there a way I can simplify and reduce the amount of df.groupby() calls?

1. Introduction

Scaling Pandas DataFrame aggregations can be tricky. I learned that while solving a specific problem involving aggregates on group by expressions.

I've now solved the first 15 Project Euler challenges in C. But then, I've hit a road block. Let me explain.

After a long time of being complacent with my skills, I thought I should up my InfoSec game. I've been mainly busy with figuring out how to enhance app security in my work so far. That means I learned how to

Let's look at how 大切、大事、重要 are different.

Uber Rush provides cost-effective on-demand courier services. Companies can use it to deliver goods to their local customers faster. Uber Rush is Uber's attempt at making a courier service that developers can integrate with low effort on their side. They provide an API which can you can integrate into existing shop solutions and lets your customers order cheap and shipping.

The other day, I found out something real fun: not all bike lanes in Germany are mandatory to use. Since bike lanes are dreadful and not at all safe, I wanted to write a handy tool to show me when to use a bicycle lane and when not.

Python 3.4 introduced the statistics module. It contains helpful methods for determining basic statistical properties, such as mean, median, and standard deviation of samples and populations.

I had this curious thought the other day: what's the byte value distribution in binary files, such as an executable? Take for example /bin/echo on OS X 10.11.1.

The new Python 3.5 unpacking syntax makes a programmer's life much easier.

I found a neat data source online on unwanted robocalls that the Federal Communications Commission (FCC) , a United States government agency, has created and published openly. The data source provides times and dates of unwanted robocalls that consumers have reported to the FCC. We can use this data source to find out all kinds of things, but today we are content with just finding out the time of the day households are most likely to receive robocalls.