5 Things a Blockchain Needs to Succeed
Today, the currency supply supported by the Bitcoin blockchain is worth four billion dollars. So, what have we learned? There are five essential properties any good blockchain must have.
Posts Tagged ‘Technical’
Jupyter Notebook Best Practices for Data Science
We present here some best-practices that SVDS has implemented after working with the Jupyter Notebook in teams and with our clients.
Evaluating Microservices: Real World Lessons
Microservices are a popular topic in developer circles, because they are a means of solving problems that have plagued monolithic software projects for decades. Namely, tardiness and bugs, both caused by complexity.
The Basics of Classifier Evaluation: Part 1
If it’s easy, it’s probably wrong.
Dust in the Blockchain
Since the blockchain is both easily accessible and immutable, it is incredibly useful for other purposes. Issuing a tiny fraction of a Bitcoin (called dust) with embedded data allows anyone to easily store data permanently and publicly.
The Venn Diagram of Data Strategy
When it comes to data strategy, many people read the “data” part and automatically dump the topic in the “technical” bucket.
Getting from Data to Visualization
Understanding a major problem set and then synthesizing that information into actionable design tasks is the key to turning data into useful visualizations.
Thoughts from Euro PyData
This event’s strongly recurring themes included the Pandas library and a fascinating host of wetware issues woven into otherwise technical sessions.
Visualizing the Evolution of Rock Music
Rock ’n’ roll is one of the most popular music genres today, but that wasn’t always the case.