March 2016 1HaskellADay Problems and Solutions

• March 31st, 2016: Today's #haskell problem is ♫ alone again, naturally 🎶 http://lpaste.net/7837739029373124608 ... but it likes it that way #introverproblems 
  And the #haskell relinker-app is now integrated into the Top5s security scraper! http://lpaste.net/4419083329639284736 TA-DAH! 
  
  
  
  
• March 30th, 2016: Today's #haskell problem we look at what ... well: 'today' means in a #graph DaaS http://lpaste.net/2053260260323360768 
  
  The #haskell solution gets you 'today' as a complete packagehttp://lpaste.net/5049502168399216640
• March 29th, 2016: For today's #haskell problem we look to reify prior-trading-day knowledge as relations http://lpaste.net/677389378498068480 Enhanced inter-day #trading analytics in #haskell on a #graph DaaS http://lpaste.net/1926020591458975744 (... in 6 lines of code.) 
  
• March 25th, 2016: For today's #haskell problem we take the score cards we've created from the #graph DaaS endpoint and cluster them http://lpaste.net/5690415111206862848 The #solution gives us K-means clustering of score cards! YAY! http://lpaste.net/3576182129349885952
• March 24th, 2016: For today's #haskell problem we load our gap analyses into ScoreCards http://lpaste.net/6485373940918124544 eventually for clustering using K-means. And today's #haskell solution we get ScoreCards from CSV file and from the #graph DaaS endpoint http://lpaste.net/1163865820011429888
• March 23rd, 2016: Sing with me: ♫ Fall into the Gap 🎶 ... report http://lpaste.net/3030808839961182208 for today's #haskell problem It took a 'little bit' of work but today's #haskell solution gives us a 'little bit' of meta-datahttp://lpaste.net/7280141726189092864
• March 22nd, 2016: For today's #haskell problem we convert the JSON graph result into haskell structures http://lpaste.net/4829558181661245440 LOLNEAT! Today's #haskell solution gives us a working dataset from a #graph DaaS endpoint http://lpaste.net/7874827506493161472 Now, let's git bizzy!
• March 21st, 2016: For this week's set of #haskell problems we're going to go against a #graph #database running on AWS! YIPPEE! http://lpaste.net/7339795115373756416 Okay, String returned from AWS DaaS #graph as today's #haskell solution http://lpaste.net/6813513488191717376 Tomorrow we'll look at parsing the JSON.
• March 16th, 2016: So, you've heard of this thing called a 'compiler,' right? For today's #haskell problem we're building a REcompiler! http://lpaste.net/8413387732209893376 Three #1Liner and an output file 1/3 the size later we have today's #haskell solution to the recompiler http://lpaste.net/4638823060617560064
• March 15th, 2016: For today's #Haskell problem we're warned to Beware the Ides of SymbolTables http://lpaste.net/6108657252669849600 ... but do we listen? Nooo! *stab-stab! So today's #haskell solution gives us a new static symbol-tablehttp://lpaste.net/4932809508989698048 That's great. The Show and Read definitions, though?
• March 14th, 2016: Today, we transform the superabundantly quoted mess@neo4j gives us as a CSV export into ... well: CSV http://lpaste.net/7793465205110865920 Okay, today's #haskell solution... did that, but we're missing some stock symbols http://lpaste.net/4928100283508064256 ... we'll look at that 'tomorrow.'
• March 11th, 2016: I hate the stodgy internet at work. Today's #haskell problem is to improve ScoreCard data type to use Ix-constrained values http://lpaste.net/4278240752024158208 And today's #haskell solution gives us indices for the Array-god http://lpaste.net/7322735479504240640
• March 9th, 2016: Today's #Haskell problem we're going to take it easy: just write a compiler, is all http://lpaste.net/5530458314216833024 😎 Today's #haskell solution: Compiler: get http://lpaste.net/7970896540401139712 I didn't ask for this in the problem statement, but I also gave a Read-instance for types extracted via SymbolTable.
• March 8th, 2016: For today's #haskell problem we are looking for securities with similar max-gaps in Markets top5s appearances http://lpaste.net/4656681160972173312 Today's #haskell solution was a stop-gap measure for $NFLX http://lpaste.net/233537231812296704 ... eheh. 
  
• March 7th, 2016: Today's #Haskell problem we look for scatterings of Afr- I MEANT $NFLX! in a sparse data set http://lpaste.net/5892060591643688960 
  
  Today's #haskell solution shows stocks with like-appearances to $NFLX on the Markets top 5s http://lpaste.net/5252814791931592704 
  
• March 4th, 2016: 'Wuz gunna' do SPARQL query dump analysis but what is the SPARQL query? URL-UN-encoding http://lpaste.net/268889253654560768 for today's #haskell problem Today's #haskell solution shows 'punkin' is 'bettah' than RDF. http://lpaste.net/5388171163006402560 Funny, that: the universal quantifier works, too.
• March 3rd, 2016: Now, for something completely different for today's #haskell problem, parsing XML document of the US States with HXThttp://lpaste.net/6918752874277109760 "Parsing XML is Easy!" says @geophf for today's #haskell solution http://lpaste.net/4360598558106189824 Yeah, but is parsing CSV easier? @geophf Yeah, but ...
• March 2nd, 2016: UN-JSON-ifying that JSON, baybee! is on the menu for today's #haskell problem http://lpaste.net/2940797818769506304 ('UN-JSON-ifying' is a word now) How many FromJSON instances was that? Dat iz one hella hint! in today's #haskell solution http://lpaste.net/7363580708683513856
• March 1st, 2016: Okay, it's not all tea and crumpets coding in #haskell. But I wish it were. Today's #haskell problem: http://lpaste.net/6471988009620209664 avoiding RDF. Today's #haskell solution showed me a fundamental truth: 1 HTTPS call is faster than 50 of them. http://lpaste.net/7390063266577252352