- August 23rd, 2016: Enough diving into the node's data, let's look at the structure of the related nodes for today's #haskell problem
- August 22nd, 2016: Today's #haskell problem is parsing twitter hashtags and a bit of data fingerprinting/exploration of same. BOOM! Today's #haskell solution analyzes hashtags twitter-users ('tweeps') use
- August 19th, 2016: For today's #haskell exercise we look at unique users in a set of twitter graph-JSON. Today's #haskell solution gives us a list of users, then their tweets, from twitter graph-JSON data
- August 18th, 2016: For today's #haskell problem we extract and reify URLs from twitter graph-JSON. Today's #haskell solution extract URLs from twitter data as easily as looking up the URLs in a JSON map.
- August 17th, 2016: For today's #haskell problem we explore the relationships from and to tweets and their related data. Today's #haskell solution relates data to tweets extracted from graph-JSON
- August 16th, 2016: For today's #haskell exercise we begin converting nodes in a graph to more specific types (Tweets are up first). We create some JSON Value-extractors and with those find the tweets in graph JSON in today's #Haskell solution
- August 15th, 2016: Today's #haskell exercise looks at twitter data as labeled/typed nodes and relations in JSON
Okay! For today's #haskell solution we discover our node and relation types in twitter data-as-graphs JSON!
- August 10th, 2016: Today's #Haskell problem we look at the big data-problem: getting a grasp of large indices of tweets in graph JSON. Today's #Haskell solution time-stamps and gives 'small-data' indices to tweets from graph JSON
- August 9th, 2016: For today's #haskell problem we extract the tweets from rows of graph data encoded in JSON. Today's #Haskell solution extracts the tweets from graph JSON and does some simple queries.
- August 8th, 2016: For today's #haskell problem we look at reading in the graph of a twitter-feed as JSON and just a bit of parsing. We leverage the Cypher library for today's #haskell solution to look at 100 rows of tweets encoded as JSON
- August 5th, 2016: Today's #Haskell problem we go for the Big Kahuna: solving a Kakuro puzzle! Okay, we have a #Haskell solution ... finally ... maybe. The solver took too long, so I solved it myself faster :/
- August 4th, 2016: Today's #Haskell exercise looks at (simple) constraints of unknown values for a sum-solver. Today's #Haskell solution also uses QBits to solve constrained unknowns
- August 3rd, 2016: Today's #haskell problem provides the cheatsheet: "What are the unique 4-number sums to 27?" We round-trip the Set category for today's #haskell solution
- August 2nd, 2016: Today's #haskell exercise looks at solving our sums when we know some of the numbers already. QBits actually work nicely for today's #Haskell solution
- August 1st, 2016: For today's #Haskell exercise we play the 'Numbers Game.' The #haskell solution is a guarded combine >>= permute in the [Int]-domain. I like the Kleisli category; ICYMI.