Mark Dunne MarkDunne

## ncg_list.tsv
entrez	symbol	description	locus	hprd	hgnc	mim	refpro	refdna	ensembl	uniprot	cancer	cancer_type	cancer_dom	cancer_rec	duplicability	origin	mirna	function	chromosome	tstart	tend	aliases	main_refseq	duplicability_main_refseq	potential_false_positive	primary_sites	degree	betweenness	clustering	complexes
25	ABL1	ABL proto-oncogene 1, non-receptor tyrosine kinase	9q34.1	1809	76	189980	NP_005148;NP_009297	NM_005157;NM_007313	ENSP00000361423	P00519	TRUE	cgc	1	0	0	Eukaryotes	3	Cell cycle,Cellular metabolism,Cellular processes,DNA/RNA metabolism and transcription,Development,Regulation of intracellular processes and metabolism,Regulation of transcription,Signal transduction	chr9	133589707	133761067	|JTK7|bcr/abl|c-ABL|c-ABL1|v-abl|	NP_009297	0	FALSE	1	337	583638	0.0440	9
27	ABL2	ABL proto-oncogene 2, non-receptor tyrosine kinase	1q25.2	1259	77	164690	NP_001129472;NP_001129473;NP_001161708;NP_001161709;NP_001161710;NP_001161711;NP_005149;NP_009298;XP_005245145	NM_001136000;NM_001136001;NM_001168236;NM_001168237;NM_00116

## keybase
### Keybase proof

I hereby claim:

  * I am markdunne on github.
  * I am markdunne (https://keybase.io/markdunne) on keybase.
  * I have a public key ASCeU8VsbwFu2un_yF94AeTEjgIkzH1GITejQccIt1XzqQo

To claim this, I am signing this object:

## scraper.py
import requests
import pandas as pd
from bs4 import BeautifulSoup

categories = {
    '7846': 'Mobile caterer',
    '7838': 'Farmers/growers',
    '14': 'Importers/Exporters',
    '7843': 'Pub/bar/nightclub',
    '4613': 'Retailers - other',

## opinion_sentiments.csv

          
            
            Date
            symbol
            Negative
            Positive
            CloseClass

            
              12
              2000-01-11
              AXP
              0.0
              1.0
              Gain

            
              81
              2000-04-13
              AXP
              0.0
              0.0
              Loss

            
              128
              2000-06-01
              AXP
              0.0
              0.0
              Loss

            
              172
              2000-07-21
              AXP
              0.0
              1.0
              Gain

            
              205
              2000-09-14
              AXP
              0.0
              0.0
              Loss

            
              220
              2000-09-29
              AXP
              0.0
              1.0
              Loss

            
              231
              2000-10-11
              AXP
              0.0
              0.0
              Loss

            
              233
              2000-10-12
              AXP
              0.0
              1.0
              Loss

            
              282
              2000-12-04
              AXP
              1.0
              0.0
              Loss

## lichess-ratings.py
import time
import json
import urllib2
import matplotlib.pyplot as plt

# change this to something big, hundreds or thousands
n_users = 10

chess960 = []
blitz = []

## Assignments.hs
--Assignment 1
--Q1
and' :: [Bool] -> Bool
and' xs = foldl (&&) True xs

--Q2
or' :: [Bool] -> Bool
or' xs = foldl (||) False xs

--Q3
	entrez symbol description locus hprd hgnc mim refpro refdna ensembl uniprot cancer cancer_type cancer_dom cancer_rec duplicability origin mirna function chromosome tstart tend aliases main_refseq duplicability_main_refseq potential_false_positive primary_sites degree betweenness clustering complexes
	25 ABL1 ABL proto-oncogene 1, non-receptor tyrosine kinase 9q34.1 1809 76 189980 NP_005148;NP_009297 NM_005157;NM_007313 ENSP00000361423 P00519 TRUE cgc 1 0 0 Eukaryotes 3 Cell cycle,Cellular metabolism,Cellular processes,DNA/RNA metabolism and transcription,Development,Regulation of intracellular processes and metabolism,Regulation of transcription,Signal transduction chr9 133589707 133761067 \|JTK7\|bcr/abl\|c-ABL\|c-ABL1\|v-abl\| NP_009297 0 FALSE 1 337 583638 0.0440 9
	27 ABL2 ABL proto-oncogene 2, non-receptor tyrosine kinase 1q25.2 1259 77 164690 NP_001129472;NP_001129473;NP_001161708;NP_001161709;NP_001161710;NP_001161711;NP_005149;NP_009298;XP_005245145 NM_001136000;NM_001136001;NM_001168236;NM_001168237;NM_00116
	### Keybase proof

	I hereby claim:

	* I am markdunne on github.
	* I am markdunne (https://keybase.io/markdunne) on keybase.
	* I have a public key ASCeU8VsbwFu2un_yF94AeTEjgIkzH1GITejQccIt1XzqQo

	To claim this, I am signing this object:
	import requests
	import pandas as pd
	from bs4 import BeautifulSoup

	categories = {
	'7846': 'Mobile caterer',
	'7838': 'Farmers/growers',
	'14': 'Importers/Exporters',
	'7843': 'Pub/bar/nightclub',
	'4613': 'Retailers - other',
	Date	symbol	Negative	Positive	CloseClass
12	2000-01-11	AXP	0.0	1.0	Gain
81	2000-04-13	AXP	0.0	0.0	Loss
128	2000-06-01	AXP	0.0	0.0	Loss
172	2000-07-21	AXP	0.0	1.0	Gain
205	2000-09-14	AXP	0.0	0.0	Loss
220	2000-09-29	AXP	0.0	1.0	Loss
231	2000-10-11	AXP	0.0	0.0	Loss
233	2000-10-12	AXP	0.0	1.0	Loss
282	2000-12-04	AXP	1.0	0.0	Loss
	import time
	import json
	import urllib2
	import matplotlib.pyplot as plt

	# change this to something big, hundreds or thousands
	n_users = 10

	chess960 = []
	blitz = []
	--Assignment 1
	--Q1
	and' :: [Bool] -> Bool
	and' xs = foldl (&&) True xs

	--Q2
	or' :: [Bool] -> Bool
	or' xs = foldl (\|\|) False xs

	--Q3