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Front-End Developer and UX/UI designer, with practical experience in project management, branding strategy, and creative
direction; devoted to functional programming and information architecture.
Front-end Developer
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Exceptionally creative and dependable Front-end Web Developer with a stellar customer service record and passion to IT. Extremely
knowledgeable in a wide range of computer languages and well aware of principles and techniques of
website construction and maintenance. Highly adaptable at conveying complex technical information
to both professional and lay audiences in a clear and understandable manner. Experience with gaining
knowledge of existing implementation, and working with a team to ensure the product met their needs
and requirements. Open to and with an urge to explore new software packages and hardware technologies.
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There are some standard STL methods which are meaningless in dbstl, but they are kept in dbstl as no-ops so as to stay consistent with the standard. These are:
db_vecter::reserve();
|
db_vector::max_size();
|
db_vector::capacity();
|
db_map::reserve();
|
db_map::max_size();
|
db_vector<>::max_size()
and
db_map<>::max_size()
both return 2^30. This does not mean that Berkeley DB can
only hold that much data. This value is returned to
conform to some compilers' overflow rules — if we
set bigger numbers like 2^32 or 2^31, some compilers
complain that the number has overflowed.
See the Berkeley DB documentation for information about limitations on how much data a database can store.
There are also some read-only functions. You set the configuration for these using the Berkeley DB API. You access them using the container's methods. Again, this is to keep consistent with C++ standard STL containers, such as:
db_map::key_comp();
|
db_map::value_comp();
|
db_map::hash_funct();
|
db_map::key_eq();
|
All public types defined by the C++ STL specification
are present in dbstl. One thing to note is the value_type. dbstl defines the
value_type for each
iterator and container class to be the raw type without
the
ElementRef
/ElementHolder
wrapper, so this type of variable can not be used to store
data in a database. There is a value_type_wrap
type for each container
and iterator type, with the raw type wrapped by the
ElementRef
/ElementHolder
.
For example, when type int_vector_t
is defined as
db_vector<int, ElementHolder<int> >
its value_type is
int
, its value_type_wrap
is ElementHolder<int>
, and its
reference and pointer types are
ElementHolder<int>&
and
ElementHolder<int>*
respectively. If you need to store data, use value_type_wrap to make use of
the wrapper to store data into database.
The reason we leave value_type as the raw type is that we want the existing algorithms in the STL library to work with dbstl because we have seen that without doing so, a few tests will fail.
You need to use the same type as the return type of the data element retrieval functions to hold a value in order to properly manipulate the data element. For example, when calling
db_vector<T>::operator[]
check that the return type for this function is
db_vector<T>::datatype_wrap
Then, hold the return value using an object of the same type:
db_vector<T>::datatype_wrap refelem = vctr[3];


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Saving Private Ryan Produced by Mutual Film Company / Mark Gordon Productions / DreamWorks SKG / Amblin Entertainment / Paramount Pictures. Directed by Steven Spielberg. Starring Tom Hanks (Captain Miller), Edward Burns (Private Reiben), Tom Sizemore Sergeant Horvath), Barry Pepper (Private Jackson) Vin Diesel (Private Caparzo), Adam Goldberg (Private Mellish), Giovanni Ribisi (Private Jackson), Jeremy Davies (Corporal Upham), and Matt Damon (Private Ryan). Runtime: 170. Reviewed by Michael Turton. ** out of *****.
Weighed down by tired plot lines and Spielberg's reliance on formulas, _Saving Private Ryan_ is a mediocre film which nods in the direction of realism before descending into an abyss of cliches.
There ought to be a law against Steven Spielberg making movies about truly serious topics. Spielberg's greatest strength as a director is the polished, formulaic way in which every aspect of the film falls carefully into place to make a perfect story. But for a topic of such weight as combat in the second world war (or the Holocaust) this technique backfires, for it creates coherent, comprehensible and redemptive narratives out of events whose size, complexity and evil are utterly beyond the reach of human ken. In this way Spielberg trivializes the awesome evil of the stories he films.
_Saving Private Ryan_ tells the story of eight men who have been detailed on a "PR mission" to pull a young man, Ryan (whose three other brothers were just killed in fighting elsewhere) out of combat on the Normandy front just after D-Day. Ryan is a paratrooper who dropped behind enemy lines the night before the landings and became separated from his fellow soldiers. The search for him takes the eight soldiers across the hellish terrain of World War II combat in France.
There's no denying Spielberg came within shouting distance of making a great war movie. The equipment, uniforms and weapons are superbly done. The opening sequence, in which Captain Miller (Tom Hanks) leads his men onto Omaha Beach, is quite possibly the closest anyone has come to actually capturing the unendurably savage intensity of modern infantry combat. Another pleasing aspect of the film is Spielberg's brave depiction of scenes largely unknown to American audiences, such as the shooting of prisoners by Allied soldiers, the banality of death in combat, the routine foul-ups in the execution of the war, and the cynicism of the troops. The technical side of the film is peerless, as always. The camera work is magnificent, the pacing perfect, the sets convincing, the directing without flaw. Hanks will no doubt be nominated for an Oscar for his performance, which was utterly convincing, and the supporting cast was excellent, though Ted Danson seems a mite out of place as a paratroop colonel.
Yet the attempt at a realistic depiction of combat falls flat on its face because realism is not something which can be represented by single instances or events. It has to thoroughly permeate the context at every level of the film, or the story fails to convince. Throughout the movie Spielberg repeatedly showed only single examples of the grotesque wounds produced by modern mechanized devices (exception: men are shown burning to death with relative frequency). For example, we see only one man with guts spilled out on the ground. Here and there men lose limbs; in one scene Miller is pulling a man to safety, there's an explosion, and Miller looks back to see he is only pulling half a man. But the rest of the corpses are remarkably intact. There are no shoes with only feet in them, no limbs scattered everywhere, no torsos without limbs, no charred corpses, and most importantly, all corpses have heads (in fairness there are a smattering of wicked head wounds). The relentless dehumanization of the war, in which even corpses failed to retain any indentity, is soft-pedaled in the film. Ultimately, _Saving Private Ryan_ bows to both Hollywood convention and the unwritten rules of wartime photography in its portrayal of wounds and death in war. Rather than saying _Saving Private Ryan_ is "realistic," it would be better to describe it as "having realistic moments."
Another aspect of the "Hollywoodization" of the war is the lack of realistic dialogue and in particular, the lack of swearing. Anyone familiar with the literature on the behavior of the men during the war, such as Fussell's superb _Wartime: Understanding and Behavior in the Second World War_ (which has an extensive discussion on swearing), knows that the troops swore fluently and without letup. "Who is this Private Ryan that we have to die for him?" asks one infantrymen in the group of eight. Rendered in wartime demotic, that should have been expressed as "Who is this little pecker that we have to get our dicks shot off for him?" or some variant thereof. Conversations should have been literally sprinkled with the "F" word, and largely about (the search for) food and sex. This is all the more inexplicable because the movie already had an "R" rating due to violence, so swearing could not possibly have been eliminated to make it a family film.
However, the most troubling aspect of the film is the Spielbergization of the topic.  He cannot just cede control to the material; he has to be bigger than it. As if afraid to let the viewer find their own (perhaps unsettled and not entirely clear) emotional foothold in the material, Spielberg has to package it in Hallmark moments to give the war a meaning and coherence it never had: the opening and closing scenes of Ryan and his family in the war cemetary (reminscent of the closing scene from _Schindler's List), the saccharine exchange between Ryan and his wife at the close (every bit as bad as Schindler's monologue about how his car, tiepin or ring could have saved another Jew), quotes from Abraham Lincoln and Emerson, Captain Miller's last words to Private Ryan, and an unbelievable storyline in which a prisoner whom they free earlier in the movie comes back to kill the Captain. That particular subplot is so hokey, so predictable, it nigh on ruins the film.
Nowhere in the film is there a resolute depiction of the meaninglessness, stupidity and waste which characterized the experience of war to the men who actually fought in combat (imagine if Miller had been killed by friendly fire or collateral damage). Because of its failure to mine deeply into the terrible realities of World War II, _Saving Private Ryan_ can only pan for small truths in the shallows. 2 stars out of 5.
Copyright 1998 by Michael A. Turton email<EMAIL_ADDRESS>-----== Posted via Deja News, The Leader in Internet Discussion ==----- http://www.dejanews.com/rg_mkgrp.xp Create Your Own Free Member Forum
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Related links: index of all rec.arts.movies.reviews reviews


I was kneeling long after the congregation was on its feet,
dip both hands into holy water,
trace the trinity across my chest,
my tiny body drooping like a question mark
all over the wooden pew.
I asked Jesus to fix me,
and when he did not answer
I befriended silence in the hopes that my sin would burn
and salve my mouth would dissolve like sugar on tongue,
but shame lingered as an aftertaste.
And in an attempt to reintroduce me to sanctity,
my mother told me of the miracle I was,
said I could grow up to be anything I want.
I decided to be a boy.
It was cute.
I had snapback, toothless grin,
used skinned knees as street cred,
played hide and seek with what was left of my goal.
I was it.
The winner to a game the other kids couldn't play,
I was the mystery of an anatomy,
a question asked but not answered,
tight roping between awkward boy and apologetic girl,
and when I turned 12, the boy phase wasn't deemed cute anymore.
It was met with nostalgic aunts who missed seeing my knees in the shadow of skirts,
who reminded me that my kind of attitude would never bring a husband home,
that I exist for heterosexual marriage and child-bearing.
And I swallowed their insults along with their slurs.
Naturally, I did not come out of the closet.
The kids at my school opened it without my permission.
Called me by a name I did not recognize,
said "lesbian,"
but I was more boy than girl, more Ken than Barbie.

My mother fears I have named myself after fading things.
As she counts the echoes left behind by Mya Hall, Leelah Alcorn, Blake Brockington.
She fears that I'll die without a whisper,
that I'll turn into "what a shame" conversations at the bus stop.
She claims I have turned myself into a mausoleum,
that I am a walking casket,
news headlines have turned my identity into a spectacle,
Bruce Jenner on everyone's lips while the brutality of living in this body
becomes an asterisk at the bottom of equality pages.
No one ever thinks of us as human
because we are more ghost than flesh,
because people fear that my gender expression is a trick,
that it exists to be perverse,
that it ensnares them without their consent,
that my body is a feast for their eyes and hands
and once they have fed off my queer,
they'll regurgitate all the parts they did not like.
They'll put me back into the closet, hang me with all the other skeletons.
I will be the best attraction.
Can you see how easy it is to talk people into coffins,
to misspell their names on gravestones.
And people still wonder why there are boys rotting,
they go away in high school hallways
they are afraid of becoming another hashtag in a second
afraid of classroom discussions becoming like judgment day
and now oncoming traffic is embracing more transgender children than parents.
I wonder how long it will be
before the trans suicide notes start to feel redundant,
before we realize that our bodies become lessons about sin
way before we learn how to love them.

My prayers are now getting stuck in my throat.
Maybe I am finally fixed,
maybe I just don't care,
maybe God finally listened to my prayers.


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My name is Chris Norman, and I am an aspiring software developer living in the south-east UK. I have a passion for technology with a desire to learn and to grow my programming skillset. My background in physics provides me with strong analytical skills and a creative, yet logical approach to problem-solving, enabling me to overcome any challenges I am faced with. I possess solid teamwork and communication skills picked up throughout my degree and during my extensive customer service experience, enabling me to work efficiently with colleagues and clients alike. I am extremely excited to begin my career in software and to continue to improve my technical skills alongside an organisation that will help guide me and facilitate my growth as a developer.
A dark theme music player for browsing and playing tracks from an offline music library. Built using Microsoft's WPF framework, the player features sophisticated browser navigation and playing queue controls, presented with an elegant and intuitive User Interface.
A collaborative project to create a web portal created with my training team at Sparta Global for our final project. The portal allows current Sparta trainees and consultants to log into their personal account to create, view, and update their personal profiles, and allows prospective Sparta clients to log in to a temporary client account in order to browse through a selection of profiles.
 A static website to display my portfolio and contact details.


# -*- coding: utf-8 -*-
# Copyright (C) 2014 by
# Christian Olsson<EMAIL_ADDRESS># Jan Aagaard Meier<EMAIL_ADDRESS># Henrik Haugbølle<EMAIL_ADDRESS># Arya McCarthy<EMAIL_ADDRESS># All rights reserved.
# BSD license.
"""
Greedy graph coloring using various strategies.
"""
from collections import defaultdict, deque
import itertools
import networkx as nx
from networkx.utils import arbitrary_element
from networkx.utils import py_random_state
from . import greedy_coloring_with_interchange as _interchange
__all__ = ['greedy_color', 'strategy_connected_sequential',
'strategy_connected_sequential_bfs',
'strategy_connected_sequential_dfs', 'strategy_independent_set',
'strategy_largest_first', 'strategy_random_sequential',
'strategy_saturation_largest_first', 'strategy_smallest_last']
[docs]def strategy_largest_first(G, colors):
"""Returns a list of the nodes of ``G`` in decreasing order by
degree.
``G`` is a NetworkX graph. ``colors`` is ignored.
"""
return sorted(G, key=G.degree, reverse=True)
[docs]@py_random_state(2)
def strategy_random_sequential(G, colors, seed=None):
"""Returns a random permutation of the nodes of ``G`` as a list.
``G`` is a NetworkX graph. ``colors`` is ignored.
seed : integer, random_state, or None (default)
Indicator of random number generation state.
See :ref:`Randomness<randomness>`.
"""
nodes = list(G)
seed.shuffle(nodes)
return nodes
[docs]def strategy_smallest_last(G, colors):
"""Returns a deque of the nodes of ``G``, "smallest" last.
Specifically, the degrees of each node are tracked in a bucket queue.
From this, the node of minimum degree is repeatedly popped from the
graph, updating its neighbors' degrees.
``G`` is a NetworkX graph. ``colors`` is ignored.
This implementation of the strategy runs in $O(n + m)$ time
(ignoring polylogarithmic factors), where $n$ is the number of nodes
and $m$ is the number of edges.
This strategy is related to :func:`strategy_independent_set`: if we
interpret each node removed as an independent set of size one, then
this strategy chooses an independent set of size one instead of a
maximal independent set.
"""
H = G.copy()
result = deque()
# Build initial degree list (i.e. the bucket queue data structure)
degrees = defaultdict(set) # set(), for fast random-access removals
lbound = float('inf')
for node, d in H.degree():
degrees[d].add(node)
lbound = min(lbound, d) # Lower bound on min-degree.
def find_min_degree():
# Save time by starting the iterator at `lbound`, not 0.
# The value that we find will be our new `lbound`, which we set later.
return next(d for d in itertools.count(lbound) if d in degrees)
for _ in G:
# Pop a min-degree node and add it to the list.
min_degree = find_min_degree()
u = degrees[min_degree].pop()
if not degrees[min_degree]: # Clean up the degree list.
del degrees[min_degree]
result.appendleft(u)
# Update degrees of removed node's neighbors.
for v in H[u]:
degree = H.degree(v)
degrees[degree].remove(v)
if not degrees[degree]: # Clean up the degree list.
del degrees[degree]
degrees[degree - 1].add(v)
# Finally, remove the node.
H.remove_node(u)
lbound = min_degree - 1 # Subtract 1 in case of tied neighbors.
return result
def _maximal_independent_set(G):
"""Returns a maximal independent set of nodes in ``G`` by repeatedly
choosing an independent node of minimum degree (with respect to the
subgraph of unchosen nodes).
"""
result = set()
remaining = set(G)
while remaining:
G = G.subgraph(remaining)
v = min(remaining, key=G.degree)
result.add(v)
remaining -= set(G[v]) | {v}
return result
[docs]def strategy_independent_set(G, colors):
"""Uses a greedy independent set removal strategy to determine the
colors.
This function updates ``colors`` **in-place** and return ``None``,
unlike the other strategy functions in this module.
This algorithm repeatedly finds and removes a maximal independent
set, assigning each node in the set an unused color.
``G`` is a NetworkX graph.
This strategy is related to :func:`strategy_smallest_last`: in that
strategy, an independent set of size one is chosen at each step
instead of a maximal independent set.
"""
remaining_nodes = set(G)
while len(remaining_nodes) > 0:
nodes = _maximal_independent_set(G.subgraph(remaining_nodes))
remaining_nodes -= nodes
for v in nodes:
yield v
[docs]def strategy_connected_sequential_bfs(G, colors):
"""Returns an iterable over nodes in ``G`` in the order given by a
breadth-first traversal.
The generated sequence has the property that for each node except
the first, at least one neighbor appeared earlier in the sequence.
``G`` is a NetworkX graph. ``colors`` is ignored.
"""
return strategy_connected_sequential(G, colors, 'bfs')
[docs]def strategy_connected_sequential_dfs(G, colors):
"""Returns an iterable over nodes in ``G`` in the order given by a
depth-first traversal.
The generated sequence has the property that for each node except
the first, at least one neighbor appeared earlier in the sequence.
``G`` is a NetworkX graph. ``colors`` is ignored.
"""
return strategy_connected_sequential(G, colors, 'dfs')
[docs]def strategy_connected_sequential(G, colors, traversal='bfs'):
"""Returns an iterable over nodes in ``G`` in the order given by a
breadth-first or depth-first traversal.
``traversal`` must be one of the strings ``'dfs'`` or ``'bfs'``,
representing depth-first traversal or breadth-first traversal,
respectively.
The generated sequence has the property that for each node except
the first, at least one neighbor appeared earlier in the sequence.
``G`` is a NetworkX graph. ``colors`` is ignored.
"""
if traversal == 'bfs':
traverse = nx.bfs_edges
elif traversal == 'dfs':
traverse = nx.dfs_edges
else:
raise nx.NetworkXError("Please specify one of the strings 'bfs' or"
" 'dfs' for connected sequential ordering")
for component in nx.connected_component_subgraphs(G):
source = arbitrary_element(component)
# Yield the source node, then all the nodes in the specified
# traversal order.
yield source
for (_, end) in traverse(component, source):
yield end
[docs]def strategy_saturation_largest_first(G, colors):
"""Iterates over all the nodes of ``G`` in "saturation order" (also
known as "DSATUR").
``G`` is a NetworkX graph. ``colors`` is a dictionary mapping nodes of
``G`` to colors, for those nodes that have already been colored.
"""
distinct_colors = {v: set() for v in G}
for i in range(len(G)):
# On the first time through, simply choose the node of highest degree.
if i == 0:
node = max(G, key=G.degree)
yield node
# Add the color 0 to the distinct colors set for each
# neighbors of that node.
for v in G[node]:
distinct_colors[v].add(0)
else:
# Compute the maximum saturation and the set of nodes that
# achieve that saturation.
saturation = {v: len(c) for v, c in distinct_colors.items()
if v not in colors}
# Yield the node with the highest saturation, and break ties by
# degree.
node = max(saturation, key=lambda v: (saturation[v], G.degree(v)))
yield node
# Update the distinct color sets for the neighbors.
color = colors[node]
for v in G[node]:
distinct_colors[v].add(color)
#: Dictionary mapping name of a strategy as a string to the strategy function.
STRATEGIES = {
'largest_first': strategy_largest_first,
'random_sequential': strategy_random_sequential,
'smallest_last': strategy_smallest_last,
'independent_set': strategy_independent_set,
'connected_sequential_bfs': strategy_connected_sequential_bfs,
'connected_sequential_dfs': strategy_connected_sequential_dfs,
'connected_sequential': strategy_connected_sequential,
'saturation_largest_first': strategy_saturation_largest_first,
'DSATUR': strategy_saturation_largest_first,
}
[docs]def greedy_color(G, strategy='largest_first', interchange=False):
"""Color a graph using various strategies of greedy graph coloring.
Attempts to color a graph using as few colors as possible, where no
neighbours of a node can have same color as the node itself. The
given strategy determines the order in which nodes are colored.
The strategies are described in [1]_, and smallest-last is based on
[2]_.
Parameters
----------
G : NetworkX graph
strategy : string or function(G, colors)
A function (or a string representing a function) that provides
the coloring strategy, by returning nodes in the ordering they
should be colored. ``G`` is the graph, and ``colors`` is a
dictionary of the currently assigned colors, keyed by nodes. The
function must return an iterable over all the nodes in ``G``.
If the strategy function is an iterator generator (that is, a
function with ``yield`` statements), keep in mind that the
``colors`` dictionary will be updated after each ``yield``, since
this function chooses colors greedily.
If ``strategy`` is a string, it must be one of the following,
each of which represents one of the built-in strategy functions.
* ``'largest_first'``
* ``'random_sequential'``
* ``'smallest_last'``
* ``'independent_set'``
* ``'connected_sequential_bfs'``
* ``'connected_sequential_dfs'``
* ``'connected_sequential'`` (alias for the previous strategy)
* ``'strategy_saturation_largest_first'``
* ``'DSATUR'`` (alias for the previous strategy)
interchange: bool
Will use the color interchange algorithm described by [3]_ if set
to ``True``.
Note that ``strategy_saturation_largest_first`` and
``strategy_independent_set`` do not work with
interchange. Furthermore, if you use interchange with your own
strategy function, you cannot rely on the values in the
``colors`` argument.
Returns
-------
A dictionary with keys representing nodes and values representing
corresponding coloring.
Examples
--------
>>> G = nx.cycle_graph(4)
>>> d = nx.coloring.greedy_color(G, strategy='largest_first')
>>> d in [{0: 0, 1: 1, 2: 0, 3: 1}, {0: 1, 1: 0, 2: 1, 3: 0}]
True
Raises
------
NetworkXPointlessConcept
If ``strategy`` is ``strategy_saturation_largest_first`` or
``strategy_independent_set`` and ``interchange`` is ``True``.
References
----------
.. [1] Adrian Kosowski, and Krzysztof Manuszewski,
Classical Coloring of Graphs, Graph Colorings, 2-19, 2004.
ISBN 0-8218-3458-4.
.. [2] David W. Matula, and Leland L. Beck, "Smallest-last
ordering and clustering and graph coloring algorithms." *J. ACM* 30,
3 (July 1983), 417–427. <https://doi.org/10.1145/2402.322385>
.. [3] Maciej M. Sysło, Marsingh Deo, Janusz S. Kowalik,
Discrete Optimization Algorithms with Pascal Programs, 415-424, 1983.
ISBN 0-486-45353-7.
"""
if len(G) == 0:
return {}
# Determine the strategy provided by the caller.
strategy = STRATEGIES.get(strategy, strategy)
if not callable(strategy):
raise nx.NetworkXError('strategy must be callable or a valid string. '
'{0} not valid.'.format(strategy))
# Perform some validation on the arguments before executing any
# strategy functions.
if interchange:
if strategy is strategy_independent_set:
msg = 'interchange cannot be used with strategy_independent_set'
raise nx.NetworkXPointlessConcept(msg)
if strategy is strategy_saturation_largest_first:
msg = ('interchange cannot be used with'
' strategy_saturation_largest_first')
raise nx.NetworkXPointlessConcept(msg)
colors = {}
nodes = strategy(G, colors)
if interchange:
return _interchange.greedy_coloring_with_interchange(G, nodes)
for u in nodes:
# Set to keep track of colors of neighbours
neighbour_colors = {colors[v] for v in G[u] if v in colors}
# Find the first unused color.
for color in itertools.count():
if color not in neighbour_colors:
break
# Assign the new color to the current node.
colors[u] = color
return colors


WaDE [WaDE2.0_schema_star.xml]
Site specific
| PK | Name | Data Type | NULL | Auto | Default | Comment | FK |
|
| SiteUUID | BigInt | |||||
| SiteNativeID | NVarChar(50) | Data provider's unique identifier for the site variable, can be alphanumeric | |||||
| SiteName | NVarChar(500) | Name of the site if available | |||||
| SiteTypeCV | NVarChar(100) |
| Ditch, Reservoir, well | ||||
| Longitude | NVarChar(50) | Latitude coordinate to six significant digits, WGS 84. Note: these can be the centroid of a PLSS Section DMS - with six significant figures. Seconds to 100ths of a second. | |||||
| Latitude | NVarChar(50) | Latitude coordinate to six significant digits, WGS 84. Note: these can be the centroid of a PLSS Section DMS - with six significant figures. Seconds to 100ths of a second. | |||||
| EPSGCodeCV | NVarChar(10) |
| |||||
| Geometry | Geometry |
| Well-Known Text (WKT): The GIS objects supported by PostGIS are a superset of the "Simple Features" defined by the OpenGIS Consortium (OGC). PostGIS supports all the objects and functions specified in the OGC "Simple Features for SQL" specification. | ||||
| SiteNativeURL | NVarChar(500) |
| |||||
| StateCV | NVarChar(5) |
| |||||
| CoordinateMethodCV | NVarChar(100) | From a map? GPS? Where coordinate from? | |||||
| CoordinateAccuracy | NVarChar(255) |
| The data are accurate to +/- x of a second of a degree (using a differenctially corrected GPS) | ||||
| GNISCodeCV | NVarChar(50) |
| The Geographic Names Information System (GNIS), developed by the U.S. Geological Survey (USGS) in cooperation with the U.S. Board on Geographic Names (BGN), contains information about the official names for places, features, and areas in the 50 States, the District of Columbia, the territories and outlying areas of the United States, including Antarctica. It is the geographic names component of The National Map. The BGN maintains working relationships with State names authorities to cooperate in achieving the standardization of geographic names. | ||||
| NHDNetworkStatusCV | NVarChar(50) |
| Whether or not the point location is indexed to the USGS NHD network | ||||
| NHDProductCV | NVarChar(50) |
| NHD Product that is used for the indexing. Shouldbe NHDPlus V1, NHDPlus V2, NHD Med Res, or NHD High Res. | ||||
| NHDUpdateDate | NVarChar(50) |
| The publication date for the NHD product used for the index. | ||||
| NHDReachCode | NVarChar(50) |
| If the location is indexed to a NHD product, this provides the Reach Code Identifier | ||||
| NHDMeasureNumber | NVarChar(50) |
| If the location is indexed to a NHD product, this provides the Measure number that provides the event's location on a reach. |
(none)
(none)
(none)
| Diagram Name |
| 6_InputTables |


Use Pulse in embedded mode to monitor a Geode deployment directly from a Geode JMX Manager. By default, the embedded Pulse application connects to the local JMX Manager that hosts the Pulse application. Optionally, configure Pulse to connect to a Geode system of your choice.
To run Pulse in embedded mode:
Configure a Geode member to run as a JMX Manager node, specifying the HTTP port on which you will access the Pulse Web application (port 7070 by default). For example, the following command starts a Geode locator as a JMX Manager node, using the default HTTP port 7070 for the Pulse application:
gfsh gfsh> start locator --name=loc1
Note: Geode locators become JMX Manager nodes by default. To start a non-locator member as a JMX Manager node, include the
--J=-Dgemfire.jmx-manager=true
option. To specify a non-default port number for the HTTP service that hosts the Pulse application, include the--J=-Dgemfire.http-service-port=port_number
option when starting the JMX Manager node.When the JMX Manager node boots, it starts an embedded Jetty instance and deploys the Pulse Web application at the specified or default HTTP port or 7070 by default.
gfsh
automatically connects to the manager when you start it in this way. If you already started a manager process earlier, use theconnect
command ingfsh
to connect to that process.Access the embedded Pulse application from a Web browser. If you are connected to the Geode cluster using gfsh, use the
start pulse
command to load the correct URL in your browser:gfsh> start pulse
Or, enter the URL http://address:http-service-port/pulse directly in your Web browser, substituting the address and HTTP port of the manager. For example, you access Pulse on the local locator machine from Step 1 at the URL http://localhost:7070/pulse.
If you have configured authentication for the Pulse application, enter the username and password of a valid Pulse account in the login screen. Otherwise, enter the default “admin” in both fields. Click Sign In to continue.
After you log in, Pulse displays the main cluster view for the local distributed system. See Using Pulse Views.
Note: When running in embedded mode, the Pulse application connects only to the JMX Manager running in the locator or member that hosts Pulse. This enables you to monitor all members of that distributed system. You can also view (but not monitor) connected WAN clusters, and can view gateway senders and receivers that are configured in the local cluster.


type runtime.special
9 uses
runtime (current package)
mheap.go#L465: specials *special // linked list of special records sorted by offset.
mheap.go#L1650: type special struct {
mheap.go#L1651: next *special // linked list in span
mheap.go#L1678: func addspecial(p unsafe.Pointer, s *special) bool {
mheap.go#L1727: func removespecial(p unsafe.Pointer, kind uint8) *special {
mheap.go#L1741: var result *special
mheap.go#L1773: special special
mheap.go#L1832: special special
mheap.go#L1850: func freespecial(s *special, p unsafe.Pointer, size uintptr) {
The pages are generated with Golds v0.2.7-preview. (GOOS=darwin GOARCH=amd64)


practcl - The Practcl Module
The Practcl module is a tool for integrating large modules for C API Tcl code that requires custom Tcl types and TclOO objects.
The concept with Practcl is that is a single file package that can assist any tcl based project with distribution, compilation, linking, VFS preparation, executable assembly, and installation. Practcl also allows one project to invoke the build system from another project, allowing complex projects such as a statically linked basekit to be assembled with relative ease.
Practcl ships as a single file, and aside from a Tcl 8.6 interpreter, has no external dependencies.
Making a practcl project
Concatenate a file
Strip the global comments from tcl code. Used to prevent the documentation markup comments from clogging up files intended for distribution in machine readable format.
Append a line of text to a variable. Optionally apply a string mapping.
Generate a proc if no command already exists by that name
A command to do nothing. A handy way of negating an instruction without having to comment it completely out. It's also a handy attachment point for an object to be named later
Drop in a static copy of Tcl
Build a zipfile. On tcl8.6 this invokes the native Zip implementation on older interpreters this invokes zip via exec
Dictionary sort a key/value list. Needed because pre tcl8.6 does not have lsort -stride 2
Returns a dictionary describing the local operating system. Fields return include:
download - Filesystem path where fossil repositories and source tarballs are downloaded for the current user
EXEEXT - The extension to give to executables. (i.e. .exe on windows)
fossil_mirror - A URI for a local network web server who acts as a fossil repository mirror
local_install - Filesystem path where packages for local consumption by the current user are installed
prefix - The prefix as given to the Tcl core/TEA for installation to local_install in ./configure
sandbox - The file location where this project unpacks external projects
TEACUP_PROFILE - The ActiveState/Teacup canonical name for this platform (i.e. win32-ix86 macosx10.5-i386-x86_84)
TEACUP_OS - The local operating system (windows, macosx, openbsd, etc). Gives the same answer as tcl.m4, except that macosx is given as macosx instead of Darwin.
TEA_PLATFORM - The platform returned by uname -s-uname -r (on Unix), or "windows" on Windows
TEACUP_ARCH - The processor architecture for the local os (i.e. ix86, x86_64)
TEACUP_ARCH - The processor architecture for the local os (i.e. ix86, x86_64)
teapot - Filesystem path where teapot package files are downloaded for the current user
userhome - File path to store localized preferences, cache download files, etc for the current user
This command uses a combination of local checks with Exec, any tclConfig.sh file that is resident, autoconf data where already computed, and data gleaned from a file named practcl.rc in userhome. The location for userhome varies by platform and operating system:
Windows: ::env(LOCALAPPDATA)/Tcl
Macos: ~/Library/Application Support/Tcl
Other: ~/tcl
A transparent call to ::practcl::read_configuration to preserve backward compadibility with older copies of Practcl
Detect local platform. This command looks for data gleaned by autoconf or autosetup in the path specified, or perform its own logic tests if neither has been run. A file named config.site present in the location indicates that this project is cross compiling, and the data stored in that file is used for the compiler and linker.
This command looks for information from the following files, in the following order:
config.tcl - A file generated by autoconf/configure in newer editions of TEA, encoded as a Tcl script.
config.site - A file containing cross compiler information, encoded as a SH script
::env(VisualStudioVersion) - On Windows, and environmental value that indicates MS Visual Studio is installed
This command returns a dictionary containing all of the data cleaned from the sources above. In the absence of any guidance this command returns the same output as ::practcl::local_os. In this mode, if the environmental variable VisualStudioVersion exists, this command will provide a template of fields that are appropriate for compiling on Windows under Microsoft Visual Studio. The USEMSVC flag in the dictionary is a boolean flag to indicate if this is indeed the case.
Try to load a package, and failing that retrieve tcllib
Return the string to pass to ./configure to compile the Tcl core for the given OS.
windows: --with-tzdata --with-encoding utf-8
macosx: --enable-corefoundation=yes --enable-framework=no --with-tzdata --with-encoding utf-8
other: --with-tzdata --with-encoding utf-8
Read a stylized key/value list stored in a file
Converts a XXX.sh file into a series of Tcl variables
A simpler form of read_sh_file tailored to pulling data from (tcl|tk)Config.sh
A simpler form of read_sh_file tailored to pulling data from a Makefile
Append arguments to a buffer The command works like puts in that each call will also insert a line feed. Unlike puts, blank links in the interstitial are suppressed
Search for the pattern pattern amongst $files
Calculate a relative path between base and dst
Example:
::practcl::file_relative ~/build/tcl/unix ~/build/tcl/library > ../library
Record an event in the practcl log
Return true if the pkgindex file contains any statement other than "package ifneeded" and/or if any package ifneeded loads a DLL
Helper function for ::practcl::pkgindex_path
Index all paths given as though they will end up in the same virtual file system
Delete the contents of d2, and then recusively Ccopy the contents of d1 to d2.
Recursively copy the contents of d1 to d2
Install a module from MODPATH to the directory specified. dpath is assumed to be the fully qualified path where module is to be placed. Any existing files will be deleted at that path. If the path is symlink the process will return with no error and no action. If the module has contents in the build/ directory that are newer than the .tcl files in the module source directory, and a build/build.tcl file exists, the build/build.tcl file is run. If the source directory includes a file named index.tcl, the directory is assumed to be in the tao style of modules, and the entire directory (and all subdirectories) are copied verbatim. If no index.tcl file is present, all .tcl files are copied from the module source directory, and a pkgIndex.tcl file is generated if non yet exists. I a folder named htdocs exists in the source directory, that directory is copied verbatim to the destination.
Trigger build targets, and recompute dependencies
Internals:
::practcl::LOCAL make trigger {*}$args foreach {name obj} [::practcl::LOCAL make objects] { set ::make($name) [$obj do] }
Calculate if a dependency for any of the arguments needs to be fulfilled or rebuilt.
Internals:
::practcl::LOCAL make depends {*}$args
Declare a build product. This proc is just a shorthand for ::practcl::LOCAL make task $name $info $action
Registering a build product with this command will create an entry in the global array, and populate a value in the global array.
Internals:
set obj [::practcl::LOCAL make task $name $info $action] set ::make($name) 0 set filename [$obj define get filename] if {$filename ne {}} { set ::target($name) $filename }
{ set authors { {John Doe}<EMAIL_ADDRESS>{Tom RichardHarry}<EMAIL_ADDRESS>} # Create the object ::practcl::doctool create AutoDoc set fout [open [file join $moddir module.tcl] w] foreach file [glob [file join $srcdir *.tcl]] { set content [::practcl::cat [file join $srcdir $file]] # Scan the file AutoDoc scan_text $content # Strip the comments from the distribution puts $fout [::practcl::docstrip $content] } # Write out the manual page set manout [open [file join $moddir module.man] w] dict set args header [string map $modmap [::practcl::cat [file join $srcdir manual.txt]]] dict set args footer [string map $modmap [::practcl::cat [file join $srcdir footer.txt]]] dict set args authors $authors puts $manout [AutoDoc manpage {*}$args] close $manout }
Tool for build scripts to dynamically generate manual files from comments in source code files
Methods
Process an argument list into an informational dict. This method also understands non-positional arguments expressed in the notation of Tip 471 https://core.tcl-lang.org/tips/doc/trunk/tip/479.md.
The output will be a dictionary of all of the fields and whether the fields are positional, mandatory, and whether they have a default value.
Example:
my argspec {a b {c 10}} > a {positional 1 mandatory 1} b {positional 1 mandatory 1} c {positional 1 mandatory 0 default 10}
Convert a block of comments into an informational dictionary. If lines in the comment start with a single word ending in a colon, all subsequent lines are appended to a dictionary field of that name. If no fields are given, all of the text is appended to the description field.
Example:
my comment {Does something cool} > description {Does something cool} my comment { title : Something really cool author : Sean Woods author : John Doe description : This does something really cool! } > description {This does something really cool!} title {Something really cool} author {Sean Woods John Doe}
Process an oo::objdefine call that modifies the class object itself
Process an oo::define, clay::define, etc statement.
Process a statement for a clay style class method
Process a statement for a tcloo style object method
Process a proc statement
Reset the state of the object and its embedded coroutine
Main body of the embedded coroutine for the object
Generate the manual page text for a method or proc
Generate the manual page text for a class
Generate the manual page text for the commands section
Generate the manual page. Returns the completed text suitable for saving in .man file. The header argument is a block of doctools text to go in before the machine generated section. footer is a block of doctools text to go in after the machine generated section. authors is a list of individual authors and emails in the form of AUTHOR EMAIL ?AUTHOR EMAIL?...
Scan a block of text
Scan a file of text
Ancestor-less class intended to be a mixin which defines a family of build related behaviors that are modified when targetting either gcc or msvc
Class Methods
Perform the selection for the toolset mixin
Methods
find or fake a key/value list describing this project
Compute the location where the product will be built
Return where the Makefile is located relative to srcdir. For this implementation the MakeDir is always srcdir.
Read information about the build process for this package. For this implementation, data is sought in the following locations in the following order: config.tcl (generated by practcl.) PKGConfig.sh. The Makefile
If the Makefile needs to be consulted, but does not exist, the Configure method is invoked
method DEFS This method populates 4 variables: name - The name of the package version - The version of the package defs - C flags passed to the compiler includedir - A list of paths to feed to the compiler for finding headers
Invoke critcl in an external process
ancestors: practcl::toolset
Methods
Detect what directory contains the Makefile template
Produce a static or dynamic library
Produce a static executable
ancestors: practcl::toolset
Methods
MSVC always builds in the source directory
Do nothing
Detect what directory contains the Makefile template
ancestors: practcl::metaclass
A build deliverable object. Normally an object file, header, or tcl script which must be compiled or generated in some way
Methods
Dynamic blocks do not generate their own .c files, instead the contribute to the amalgamation of the main library file
Methods
Parser functions
Alias to classic name
Alias to classic name
Module interactions
Practcl internals
Generate code that provides implements Tcl API calls
Generate code that runs when the package/module is initialized into the interpreter
Once an object marks itself as some flavor of dynamic, stop trying to morph it into something else
A deliverable for the build system
Class Methods
Methods
Populate const static data structures
Generate code that provides subroutines called by Tcl API methods
Generate code that provides implements Tcl API calls
This methods generates any Tcl script file which is required to pre-initialize the C library
Methods called by the master project
Methods called by the toolset
ancestors: practcl::product
A product which generated from a C header file. Which is to say, nothing.
Methods
ancestors: practcl::product
A product which generated from a C source file. Normally an object (.o) file.
Methods
ancestors: practcl::product
A product which is generated from a compiled C library. Usually a .a or a .dylib file, but in complex cases may actually just be a conduit for one project to integrate the source code of another
Methods
ancestors: practcl::dynamic practcl::product
A product which is generated from C code that itself is generated by practcl or some other means. This C file may or may not produce its own .o file, depending on whether it is eligible to become part of an amalgamation
Methods
ancestors: practcl::dynamic practcl::product
A binary product produced by critcl. Note: The implementation is not written yet, this class does nothing.
ancestors: practcl::object practcl::product.dynamic
In the end, all C code must be loaded into a module This will either be a dynamically loaded library implementing a tcl extension, or a compiled in segment of a custom shell/app
Variable
Methods
Return a dictionary of all handles and associated objects
Return the object associated with handle name
Reset all deputy objects
Exercise the triggers method for all handles listed
Exercise the check method for all handles listed
Return the file name of the build product for the listed handle
Return a list of handles for object which return true for the do method
For each target exercise the action specified in the action definition if the do method returns true
This methods generates the contents of an amalgamated .c file which implements the loader for a batch of tools
This methods generates the contents of an amalgamated .h file which describes the public API of this module
ancestors: practcl::module
A toplevel project that is a collection of other projects
Methods
Compile the Tcl core. If the define tk is true, compile the Tk core as well
Exercise the methods of a sub-object
ancestors: practcl::project
A toplevel project that produces a library
Methods
Backward compadible call
Create a "package ifneeded" Args are a list of aliases for which this package will answer to
ancestors: practcl::library
A toplevel project that produces a self-contained executable
Methods
Standalone class to manage code distribution This class is intended to be mixed into another class (Thus the lack of ancestors)
Class Methods
Methods
ancestors: practcl::distribution
A file distribution from zip, tarball, or other non-scm archive format
Class Methods
Methods
ancestors: practcl::distribution
A file distribution based on fossil
Class Methods
Check for markers in the metadata
Check for markers in the source root
Methods
Clone the source
ancestors: practcl::distribution
A file distribution based on git
Class Methods
Methods
ancestors: practcl::module
A subordinate project
Methods
Install project into the local build system
Methods for packages/tools that can be downloaded possibly built and used internally by this Practcl process Load the facility into the interpreter
Return a file path that exec can call
Install the tool into the local environment
Do whatever is necessary to get the tool into the local environment
Check if tool is available for load/already loaded
ancestors: practcl::subproject practcl::library
A project which the kit compiles and integrates the source for itself
Methods
ancestors: practcl::subproject
A subordinate binary package
Methods
ancestors: practcl::subproject.binary
A subordinate TEA based binary package
ancestors: practcl::subproject.binary practcl::library
A subordinate C library built by this project
Methods
ancestors: practcl::subproject.binary
A subordinate external C library
Methods
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category practcl of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
TclOO
Copyright © 2016-2018 Sean Woods <yoda@etoyoc.com>


class NVector
This is a specific type of NMatrix in which only one dimension is not 1. Although it is stored as a dim-2, n x 1, matrix, it acts as a dim-1 vector of size n. If the @orientation flag is set to :column, it is stored as n x 1 instead of 1 x n.
Public Class Methods
Creates a new NVector. See also NMatrix#initialize for a more detailed explanation of the arguments.
-
Arguments :
-
stype
-> (optional) Storage type of the vector (:list, :dense, :yale). Defaults to :dense. -
shape
-> Shape of the vector. Accepts [n,1], [1,n], or n, where n is a Fixnum. -
init
-> (optional) Yale: capacity; List: default value (0); Dense: initial value or values (uninitialized by default). -
dtype
-> (optional ifinit
provided) Data type stored in the vector. For :dense and :list, can be inferred frominit
.
-
-
Returns : -
# File lib/nmatrix/nvector.rb, line 56 def initialize(*args) stype = args[0].is_a?(Symbol) ? args.shift : :dense shape = args[0].is_a?(Array) ? args.shift : [1,args.shift] if shape.size != 2 || !shape.include?(1) || shape == [1,1] raise(ArgumentError, "shape must be a Fixnum or an Array of positive Fixnums where exactly one value is 1") end warn "NVector is deprecated" super(stype, shape, *args) end
Public Instance Methods
Retrieves an element or return a slice.
Examples:
u = NVector.new(3, [10, 20, 30]) u[0] # => 10 u[0] + u[1] # => 30 u[0 .. 1].shape # => [2, 1]
# File lib/nmatrix/nvector.rb, line 105 def [](i) shape[0] == 1 ? super(0, i) : super(i, 0) end
Stores value
at position index
.
# File lib/nmatrix/nvector.rb, line 115 def []=(i, val) shape[0] == 1 ? super(0, i, val) : super(i, 0, val) end
Returns the dimension of a vector, which is 1.
# File lib/nmatrix/nvector.rb, line 125 def dim; 1; end
Return the maximum element.
# File lib/nmatrix/nvector.rb, line 141 def max max_so_far = self[0] self.each do |x| max_so_far = x if x > max_so_far end max_so_far end
Return the minimum element.
# File lib/nmatrix/nvector.rb, line 154 def min min_so_far = self[0] self.each do |x| min_so_far = x if x < min_so_far end min_so_far end
Orientation defaults to row (e.g., [1,3] is a row of length 3). It may also be column, e.g., for [5,1].
# File lib/nmatrix/nvector.rb, line 77 def orientation shape[0] == 1 ? :row : :column end
Shorthand for the dominant shape component
# File lib/nmatrix/nvector.rb, line 132 def size shape[0] > 1 ? shape[0] : shape[1] end


{% extends 'base.html' %} {% block content %}
Edit
{{ shoot.competition }} - {{ shoot.bowstyle }}
No scores recorded


The User will enter there First & Last name along with their Age,
Birth Month, Favorite ROYGBIV color and Number of Siblings.
Once the data is collected the program will greet the User and tell
them how many years they have left to retire, how much money they
have in their bank account, the location that he or she will live and
their mode of transportation.
×
Skills: Java
Tools: Eclipse IDE | Git
Top
Created a virtual pet similar to the one seen in the late 1990's. The virtual pet is named Hold. Hold
will be able to inform its owner when it needs various tasks to be completed. For example, when Hold is
either hungry or thirsty. It is up to the Owner of Hold to keep their virtual pet happy.
Skills: Java | TDD
Tools: Eclipse IDE | Git
Top
Created a Virtual Pet Shelter that houses Virtual Pets. The user has the ability to feed, water and play
with a pet. The user also has the option to either Adopt out a pet or Intake new pets.
Skills: Java | OOP | TDD
Tools: Eclipse IDE | Git
Top
In this iteration of Virtual Pet Shelter, the Virtual Shelter now has Dogs, Cats and Robot Dogs. The user
will nee to manage the pets hunger, thirst, boredom, wast, happiness, oill and battery levels. Along
with cleaning out the Shelter litter box.
There are also Dog kennels that will need to be cleaned as well but the system will prompt the User
when it is time to clean out each individual kennel. Adopting out and Intaking new pets are also still
options. As the User, will you be able to manage this Shelter? Enjoy...
Skills: Java | OOP | TDD
Tools: Eclipse IDE | Git
Top
Created a Reviews Site through Spring Boot + MVC app that displays a list of reviews allowing the user to
click on an individual review to see its details.
Skills: Java | OOP | TDD
| Spring | HTML5
Tools: Eclipse IDE | Sublime Text 3 | Git
Top
The first iteration of my GitHub Protfolio site started here. It was just a simple site to introduce me
to my first public site to show off my skills as an Apprentice Software Developer.
Skills: HTML5 | CSS3
Tools: Sublime Text 3 | Git
Top
This is the second iteration to Review Site but now it is being made into a Full Stack Web Application.
This site has a list of categories that for now, has only one category that holds several reivews. When
the User clicks on the review it will show the details of the review. Now, tags have been added to the
mix. Each review is associated with a tag and when the User clicks on a specific tag all the reviews
associated with that tag will appear.
Skills: Java | OOP | TDD
| Spring | SQL | Hibernate | HTML5 | CSS3
Tools: Eclipse IDE | Sublime Text 3 | Git
Top
Now that I have been shown JavaScript, it was time to add it to my portfolio. The logo was turned into a
button that would toggle between hide and show. Buttons were created to expand and collapse the
descriptions for the GitHub Projects. An image carousel was added to the about me to show more than one
photo. A button that showed the date and time through an event listener was also added along with with a
modal for the about me description. After it was graded I completely removed it all except for the image
carousel.
The image posted below is what it had looked like on my Samsung Note 8 device.
Note: Jasmine was also used to try and attempt to test the JavaScript but learning Jasmine, as well as
how to correctly test JavaScript is still a work in progress...
Skills: HTML5 | CSS3 | JavaScript
Tools: Sublime Text 3 | Git
Top
Third iteration for Reviews Site. This time, it was required that tags be added, as well as a comment
section for each review site. When user access a review from one of the two Categories, there will be a
comment section to leave comments. In the picture below I left a few comments to show how it works.
The one part for this project that I could not figure out was how to utilize Ajax to add and remove
a tag, and to add and remove a review from a tag. Beside that, the site functions as intended. However,
I realize I could have used JQuery but was trying to avoid JQuery and use only JavaScript.
Skills: Java | OOP | TDD
| Spring | SQL | Hibernate | HTML5 | CSS3
| JavaScript | Ajax
Tools: Eclipse IDE | Sublime Text 3 | Git
Top
This is the third iteration to my GitHub Portfolio. This covers all the front-end I have learned, or seen
throughout my time in bootcamp. A domain name was purchased and linked to my github.io address while the
entire site goes through an amazing transformation.
Skills: HTML5 | CSS3 | jQuery | JavaScript
Tools: Sublime Text 3 | Git
Top
During the last few weeks of class. A group of 7 under a Scrum Master are working diligently to create an
app utilizing everything that was taught during the 10 weeks of instruction while in an Agile
enviroment.
Users are able to input their zip code and have returned to them a list of plants that are suitable
to be planted in their area. The users are then able to select their desired plants, then generate a
planting report which provides the best dates to plant each one depending on the plant's specification
and the last frost date for the user's zip code.
Skills: Java | OOP | TDD
| Spring | SQL | Hibernate | HTML5 | CSS3
| JavaScript | Ajax
Tools: Eclipse IDE | Sublime Text 3 | Git
Dev Team: 7 Students
Scrum Master: Instructor Alan
Top
I felt an entire refresh was needed since the creation of this website that came out of my coding boot
camp. You can find more info on WeCanCodeIT on the home page where I provide a link to a very thorough
review.
Anyways, with some free time here and there, and lots research and patience. This website was
redesigned with Mobile views in mind and for the most part been reworked thoroughly. It still isn't
perfect but before and after Pictures will be provided.
You can check it out by clicking on the image below.
Skills: HTML5 | CSS3 | jQuery
| JavaScript
Tools: Sublime Text 3 | Git
Top
I was showing my Vietnamese Fiancee around town today and decided to show her the Family Graves located
in Green Lawn Cemetery. Having a hard time remembering exactly where their tombstones laid but
eventually found them. As we walked by anonymous tombstones, my Fiancee found it confusing telling who's
who by just what is engraved in stone. It would have been a confusing question to any other person but
having visited her Family in Vietnam on a small Rice Farm it made sense to why she would ask me
that.
In Vietnam, their graves are not in the ground but above ground where it has very detailed info about who
lays to rest, as well as a picture of who lies there. The only time I did not see a picture were the
ones probably before they had cameras in Vietnam but the earlier generations all had photos of who it
was. However, I did point out that some tombstones did indeed have a picture but not all.
So it got me thinking, why not have an online database of those laid to rest in Green Lawn Cemetery?
Especially with Ancestry and Genealogy on the rise.
Skills:Java | OOP | TDD
| Spring | SQL | Hibernate | HTML5 | CSS3
Tools:Eclipse IDE | Sublime Text 3 | Git
Track its progress publicly on Trello
Top
While visiting my fiance Xuyen in Vietnam from Nov. to Dec. 2018, I was studying along side her during
some down time while also assisting her studies with the English language. This nice down time allowed
me to work on my portfolio site.
This site will never technally be completed as I learn new things, or become curious and will want to add
future projects, as well as tweak this site as needed. Last big update was the review on
WeCan{Code}IT.
×
Skills: HTML5 | CSS3 | jQuery
| JavaScript
Tools: Sublime Text 3 | Git
Top
This was an interesting Kata from Pillar Technologies. I had about 1 week to do this and it was
definitely a memory refresher. I learned new things from this Kata, as well as learned a lot of what I
need to learn to boot! This Kata taught me that I need to research and learn how to work with times. As
in am/pm/24h. This kata simulates a babysitter working and getting paid for one night. The rules are
pretty straight forward. If you're interested in this kata it can be found on my github. The README.md
file has the instructions.
Skills: Java | OOP | TDD
Tools: Eclipse IDE | Sublime Text 3 | Git
Top


PLAYING BY HEART A film review by Mark R. Leeper
Capsule: Here are six stories with people talking about love intercut together. The stories by writer/director Willard Carroll are about love and death, candor and lies. PLAYING BY HEART is also something of a puzzle film along the lines of THE USUAL SUSPECTS. But mostly the film proves that veteran actors like Gina Rowlands, Sean Connery, and especially Ellen Burstyn can act rings around their younger competition. Rating: 6 (0 to 10), +1 (-4 to +4)
"Talking about love is like dancing about architecture." That one line is probably the cleverest thing about PLAYING BY HEART and will probably be remembered as a trivia question long after the rest of the film is forgotten. (Actually the quote is a variation on the aphorism that talking about music is like dancing about architecture which has been variously attributed to Frank Zappa, Laurie Anderson, Thelonious Monk, and Steve Martin.) Yet, knowing the futility of talking about love, yet knowing that futility the film still attempts to tell a series of stories about love, all cut together.
In PLAYING BY HEART we have the story of Joan (Angelina Jolie) whose intended new lover Keenan (Ryan Phillippe) is totally uninterested in relating to another person. Gillian Anderson of THE Stewart) who would like to start a relationship with her. Gracie (Madeleine Stowe) and Roger (Anthony Edwards) have a great time together and are married, but not to each other. Mildred (Ellen Burstyn) and Mark (Jay Mohr) are mother and son talking one last time before Mark dies of AIDS. Hugh (Dennis Quaid) is looking to form a relationship with anybody, female or male, as long as he can build the relationship on a lie. Finally and perhaps best, there are Hannah (Gina Rowlands) and fatally ill Paul (Sean Connery) who after a long marriage want to reaffirm their vows, and just now Hannah has discovered that early in their marriage, Paul loved another woman. Six stories about six relationships, working and failing.
As he tells these stories Willard Carroll is doing something behind the curtain that the viewer comes to suspect early on, but is not actually confirmed until late in the film. By the time it becomes clear what the script has done, it is probably too late to pick up all the details, at least on the first viewing. Like THE USUAL SUSPECTS, one probably has to see the film twice to pick up on some of the subtleties.
Sean Connery's character Paul is dying yet even he does not have the vulnerability of Ellen Burstyn's Mildred who has to cope with the death of her son. It may be that having to deal with the death of a loved one is harder than dying oneself or it may be just that Burstyn is an actor who can reach from the screen and tear at a viewer's heartstrings. Paul Newman was approached for the part of Paul. In fact, he seems to fit the role better than Connery. It was probably written with Newman in mind. It may say something about acting styles, but ten hours after having seen this film one still cares about the Burstyn, Connery, and Rowlands characters. Speaking for myself I can picture the younger characters, but I do not really care a whole lot for what happens to them and their relationships. Burstyn can whimper more powerfully than Angelina Jolie can shout. Perhaps the problem is that there are too many characters to cover the material more than superficially. Carroll is satisfied to just give us a feel for the personality of the characters. The veteran actors know how to make the most of their time.
In 1998 Willard Carroll wrote and directed PLAYING BY HEART as well as TOM'S MIDNIGHT GARDEN. Before this year Carroll has not has not directed since his debut in 1990 with a somewhat under-appreciated horror film, THE RUNESTONE. If PLAYING BY HEART is no worse then THE RUNESTONE, it is really little more accomplished. I would give it a 6 on the 0 to 10 scale and a +1 on the -4 to +4 scale. Of some tangential interest is the fact that the MPAA in a bizarre ruling rejected the shooting title of this film DANCING ABOUT ARCHITECTURE as being too similar to the current DANCING AT LUGHNASA. It is hard to imagine the two being confused.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1999 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: Dart + CI with a few lines of code date: 2014-04-12 13:04:52.000000000 +00:00 categories: - Continuous Deployment - Dart tags: [] status: publish type: post published: true meta: _edit_last: '1' _knews_automated: '0' _s2mail: 'yes' author: login: maxhorstmann display_name: Max first_name: '' last_name: '' ---
Dart not only runs in the browser, but also on the server. Just like JavaScript, since the invention of node.js.
Here are two simple answers for two practical questions:
1. What's keeping my Dart process alive?
2. How can I set up continuous integration?
Keep Yourself Alive - Keep Yourself Aliii-hiive ...
Let's say you wrote a social networking web site in Dart, like this:
{% highlight dart %} {% raw %} import 'dart:io'; import 'dart:math'; void main() { HttpServer.bind(InternetAddress.ANY_IP_V4, 80) .then((HttpServer server) { server.listen((HttpRequest request) { var n = (new Random()).nextInt(1000); request.response.statusCode = 200; request.response.write( "Done! Now let's quickly copy the file to your server and spawn a new Dart process:
$ dart social.dart
Your site is live and millions of users have started flocking towards it... until your hosting provider decides to reboot your server and you'll have to restart the process manually. Or, until an uncaught exception kills your Dart process.
Simple fix: let upstart manage your Dart process. First, install it - for example, in Ubuntu:
$ sudo apt-get install upstart
Now, create a new config file in /etc/init. For example, social.conf:
exec /usr/bin/dart social.dart >> /var/log/social/$(date -d "today" +"%Y_%m_%d_%H_%M_%S").log
start on filesystem and static-network-up
stop on runlevel [016]
respawn
You're ready to go! As a test, reboot the server and check if your web site is up and running afterwards. Now that was easy!
Continuous integration - or not integration at all ... ship-rooom-meetings - leave the hall!
Continuous integration (CI) is awesome. No need for painful integrations and deployments, just get your code out there. In fact, if your project is at an early stage, you might wanna just ship to your production server on every check-in. Well, maybe to a staging environment first, and then run a bunch of automated tests before going to prod. But let's keep simple for now.
There are a few CI sites and tools out there supporting Dart natively, such as drone.io. The way they typically work is: check-in triggers a build, which also runs a bunch of tests, and a successful build triggers a deployment.
To get you started, here's a simple CI setup for your Dart server which won't require any of these tools yet - focus on your product and deal with making that technology decision later.
First, create a build&deployment script. Just a simple shell script will do the job for now, something like:
#!/bin/bash
rm -rf social
git clone git://github.com/MyUserName/social.git
stop social
rm -rf /opt/social/*
cp -r social/* /opt/social/
cd /opt/social/
pub get
start social
Second, set up a web hook endpoint on your production server, listening on some obscure port and triggering the deployment script on every POST. Of course, the web hook endpoint is also written in Dart:
{% highlight dart %} {% raw %} import 'dart:io'; import 'dart:convert'; void main() { HttpServer.bind(InternetAddress.ANY_IP_V4, 8977) .then((HttpServer server) { server.listen((HttpRequest request) { if (request.method=="POST") { print('Webhook triggered at ' + new DateTime.now().toString()); request.response.statusCode = 200; Process.start('deploy.sh', []).then((process) { process.stdout.transform(new Utf8Decoder()) .transform(new LineSplitter()) .listen((String line) => request.response.writeln(line)); process.exitCode.then((exitCode) { request.response.writeln('Exit code = $exitCode'); request.response.close(); }); }); } });});} {% endraw %} {% endhighlight %}Latest version of webhook.dart is here.
Lastly - add the web hook to your repository and make sure it gets triggered on every check-in. For example, in GitHub:
Nothing fancy - no security, no notifications, no build dependencies etc, but took only a few minutes to set up. Now write some server-side Dart code and push it out!
See also dart-upstart on GitHub, and feel free to discuss on HN.


From the death certificate
for Ada Nalley Kincade, #62143
Bethel Township, Monroe
County, Ohio
female, white, married
birth: Jan. 14, 1892,* Ohio
age: 22 yrs. 10 mos. 11 da.
housewife
daughter of Thomas Nalley,
born Ohio, and Mary Hodge, born Ohio
informant: Douglass Kincade,* * Graysville. . . .
death: Nov. 25,* * * 1914, 4 p.m.
last attended by
physician: from April 1914 to Nov. 20,
1914 when last seen alive by physician
cause of death: pulmonary tuberculosis
burial: Pleasant R. Cem., Nov. 26, 1914
physician: J.S. Peter * * * *
Submitter's Notes:
* MONROE COUNTY, OHIO CEMETERY INSCRIPTIONS: BENTON AND WASHINGTON TOWNSHIPS published by
the Monroe County Chapter of the Ohio Genealogical Society lists 1893 as her
birth on the tombstone.
* * Douglass Kincade was her
husband. On the death certificate for
their daughter who died 11 days earlier it was spelled Douglas Kinkade.
* * * The above book lists
Nov. 24 as the date of death on her tombstone.
* * * * The signature of the physician was difficult to read and this spelling may not be correct.
Provided by Betty Latta Kitchen
Click here for the Short-Cut Table of Contents


Before Change
detectron_model = infer_engine.initialize_model_from_cfg(args.weights, args.gpu_id)
// list of paths (example: "coco_train2014/COCO_train2014_000000123456.jpg")
image_paths = [os.path.join(args.image_root, name)
for name in os.listdir(args.image_root)
if name not in {".", ".."}]
// create an output HDF to save extracted features
save_h5 = h5py.File(args.save_path, "w")
image_ids_h5d = save_h5.create_dataset(
After Change
detectron_model = infer_engine.initialize_model_from_cfg(args.weights, args.gpu_id)
// list of paths (example: "coco_train2014/COCO_train2014_000000123456.jpg")
image_paths = []
for image_root in args.image_root:
image_paths.extend([os.path.join(image_root, name)
for name in glob.glob(os.path.join(image_root, "*.jpg"))
if name not in {".", ".."}])
// create an output HDF to save extracted features
save_h5 = h5py.File(args.save_path, "w")
image_ids_h5d = save_h5.create_dataset(
"image_ids", (len(image_paths), )
)
// "features" is a chunked dataset, each chunk holds features from one image
features_h5d = save_h5.create_dataset(
"features", (len(image_paths), args.max_boxes, args.feat_dims),
chunks=(1, args.max_boxes, args.feat_dims)
)
for idx, image_path in tqdm(enumerate(image_paths)):
try:
image_ids_h5d[idx] = image_id_from_path(image_path)
image = cv2.imread(image_path)
// we only care about features, not classes
_, _, _, bottomup_features = detect_image(detectron_model, image, args)
features_h5d[idx] = bottomup_features
except:
print(f"\nWarning: features from {idx}, {image_path} failed to extract.\n")
// set current split name in attributrs of file, for tractability
save_h5.attrs["split"] = args.split
save_h5.close()


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Be the first player to reach 50 points.
On a turn, a player rolls the die repeatedly until either:
If the player chooses to hold, all of the points rolled during that turn are added to his or her score.


I am a front end we b developer i think“A successful website does three things: It attracts the right kinds of visitors. Guides them to the main services or product you offer. Collect Contact details for future ongoing relation.”


| prabclus-package | prabclus package overview |
| abundtest | Parametric bootstrap test for clustering in abundance matrices |
| allele2zeroone | Converts alleleobject into binary matrix |
| alleleconvert | Format conversion for codominant marker data |
| alleledist | Shared allele distance for diploid loci |
| alleleinit | Diploid loci matrix initialization |
| alleleobject | Diploid loci matrix initialization |
| allelepaircomp | Internal: compares two pairs of alleles |
| autoconst | Spatial autocorrelation parameter estimation |
| autoreg | Spatial autocorrelation parameter estimation |
| build.charmatrix | Internal: create character matrix out of allele list |
| build.ext.nblist | Internal: generates neighborhood list for diploid loci |
| build.nblist | Generate spatial weights from prabclus neighborhood list |
| cfchord | Distances between communities, auxiliary functions |
| cluspop.nb | Simulation of presence-absence matrices (clustered) |
| communities | Construct communities from individuals |
| communitydist | Distances between communities |
| comp.test | Compare species clustering and species groups |
| con.comp | Connectivity components of an undirected graph |
| con.regmat | Connected regions per species |
| coord2dist | Geographical coordinates to distances |
| crmatrix | Region-wise cluster membership |
| dicedist | Dice distance matrix |
| diploidcomlist | Distances between communities, auxiliary functions |
| distratio | Distance ratio test statistics for distance based clustering |
| geco | geco distance matrix |
| geo2neighbor | Neighborhood list from geographical distance |
| homogen.test | Classical distance-based test for homogeneity against clustering |
| hprabclust | Clustering of species ranges from presence-absence matrices (hierarchical methods) |
| incmatrix | Nestedness matrix |
| jaccard | Jaccard distance matrix |
| kulczynski | Kulczynski distance matrix |
| kykladspecreg | Snail presence-absence data from Aegean sea |
| lcomponent | Largest connectivity component |
| lociplots | Visualises clusters of markers vs. species |
| nastats | Missing values statistics for matrix |
| nb | Neighborhood list for Aegean islands |
| nbtest | Test of neighborhood list |
| nn | Mean distance to kth nearest neighbor |
| NNclean | Nearest neighbor based clutter/noise detection |
| phipt | Distances between communities, auxiliary functions |
| piecewiselin | Piecewise linear transformation for distance matrices |
| plotdistreg | Plots for within-groups and between-groups distance regression |
| pop.sim | p-value simulation for presence-absence matrices clustering test |
| prab | Presence-absence/abundance matrix initialization |
| prab.sarestimate | Estimates SAR model from log-abundance matrix of prab-object. |
| prabclust | Clustering for biotic elements or for species delimitation (mixture method) |
| prabinit | Presence-absence/abundance matrix initialization |
| prabtest | Parametric bootstrap test for clustering in presence-absence matrices |
| print.alleleobject | Diploid loci matrix initialization |
| print.comprabclust | Clustering of species ranges from presence-absence matrices (hierarchical methods) |
| print.nnclean | Nearest neighbor based clutter/noise detection |
| print.prab | Presence-absence/abundance matrix initialization |
| print.prabclust | Clustering for biotic elements or for species delimitation (mixture method) |
| print.regdistbetween | Testing equality of within-groups and between-groups distances regression |
| print.regeqdist | Testing equality of two distance-regressions |
| print.summary.prabtest | Parametric bootstrap test for clustering in presence-absence matrices |
| qkulczynski | Quantitative Kulczynski distance matrix |
| randpop.nb | Simulation of presence-absence matrices (non-clustered) |
| regdist | Regression between subsets of dissimilarity matrices |
| regdistbetween | Testing equality of within-groups and between-groups distances regression |
| regdistbetweenone | Testing equality of one within-group and between-two groups distances regression |
| regdistdiff | Regression difference between within-group dissimilarities |
| regdistdiffone | Regression difference within reference group and between-group dissimilarities |
| regeqdist | Testing equality of two distance-regressions |
| regpop.sar | Simulation of abundance matrices (non-clustered) |
| shared.problist | Distances between communities, auxiliary functions |
| siskiyou | Herbs of the Siskiyou Mountains |
| siskiyou.groups | Herbs of the Siskiyou Mountains |
| siskiyou.nb | Herbs of the Siskiyou Mountains |
| specgroups | Average within-group distances for given groups |
| stressvals | Stress values for different dimensions of Kruskal's MDS |
| summary.prabtest | Parametric bootstrap test for clustering in presence-absence matrices |
| tetragonula | Microsatellite genetic data of Tetragonula bees |
| tetragonula.coord | Microsatellite genetic data of Tetragonula bees |
| toprab | Convert abundance matrix into presence/absence matrix |
| unbuild.charmatrix | Internal: create allele list out of character matrix |
| veronica | Genetic AFLP data of Veronica plants |
| veronica.coord | Genetic AFLP data of Veronica plants |
| waterdist | Overwater distances between islands in the Aegean sea |


Routine was developed during the week from April 10 to April 17 as an entry for Indextank and Factual's contest. The task was "hacking up an application that uses both IndexTank real-time custom search API and Factual’s dataset of 14M US businesses."
Building Routine in such a short timespan was very interesting. It is impressive to see how much one can accomplish in one week using readily available tools; as a developer it is quite nice to be able to rely in such tools and concentrate in the application itself. In this page I would like to give an overview on the technologies and resources involved in creating this app.
For UI presentation I used the Atatonic CSS Framework, which made it very easy to work with a grid and have a nice looking page from the start. I changed the default font size and typeface because I prefer big letters and a sans-serif typeface for web apps.
For UI behaviour I used JQuery, which has been my javascript library of choice since I started on web development. The side-scrolling interface was made with JQuery Tools and for the facebookish window that shows the itinerary's detail I used Facebox.
On the backend I used CherryPy as web framework. It really only performs two tasks: searching for businesses and sorting them in an efficient route.
The search is performed by Indextank. The service is absolutely great, and I got the hang of it quite quickly. At first it striked me as a little slow, but when I deployed the app in my server I realized it was my ugly internet service. Now it is truly lightning fast! Besides, it was very easy to use and very well documented. I wholehertedly recommend it.
The businesses database came from Factual. It is quite comprehensive and as it comes as a simple csv file, it was very easy to upload to Indextank with a simple script. Nonetheless, it would be cool if we could just upload the csv to Indextank and get it indexed automatically.
All the maps are powered by Google Maps' Javascript API. It was easier to use than I expected, and the geocoding service works like a charm.
Finally, I'd like to thank interactivemania, from where I took the little cross icon and WPZOOM from where I took the magnifying glass.
Go back to the application.


Download BED dataset directly from the BLS website
get_bed_detail(seasonaladj = "S", msa = "00000", state = "00", county = "000", industry = "000000", unitanalysis = 1, dataelement = 2, sizeclass = "00", dataclass = "07", ratelevel = "L", periodicity = "Q", ownership = 5, download = F, read = F, path_data = "./")
| seasonaladj | seasonality adjustment of the data; S (default) or U |
|---|---|
| msa | msa code; 00000 (default) for national |
| state | state code; 00 (default) for national |
| county | county code; 000 (default) for national |
| industry | industry code; 000000 (default) for total private. See docs for industry classifications |
| unitanalysis | unit of observation; 1 (default) for establishment |
| dataelement | which type of date; 2 (default) number of establishments, 1 employment |
| sizeclass | firm size class; 00 (default) for all |
| dataclass | for type of information; 07 (default) for Establishment Births, 01 Gross Job Gains, 02 Expansions, 03 Openings, 04 Gross Job Losses, 05 Contractions, 06 Closings, 07 Establishment Births, 08 Establishment Deaths |
| ratelevel | for type of statistics; L (default) for level, R for rate |
| periodicity | for sampling frequency; Q (default) for quarterly, A for annual |
| ownership | for type of ownership; 5 (default) for private sector |
| download | requires download confirmation |
| read | FALSE is default, read RDS files if available (faster than downloading 200Mb file) |
| path_data | where does the download happen: default current directory |
dt_final
# NOT RUN { dt_bed <- get_bed_detail(download = T); # }


Atlas is a data visulization service producing powerful insights while leveraging open data sets such as the World Data Bank. You are able to compare contries and historic data giving you the ability to capture historic trends.
The Atlas team is composed of four creative software developers with a wide array of skills. This unique combination of people has allowed us to create a the next generation of open data visualization.
Atlas strives to be accessable and easy to use by curious minds around the world. By selecting one of our suppored open data sets at the top of this page, you will be directed to fill out a form. Once the form has been completed our data visulization will display the available data in a visually appleaing way. Click here to get started.
Atlas was built using angular2(favorite) and a host of other services, notably the World Data Bank public api, and C3.js.


Phase 2 Active mode:
In this phase the tester begins to test using the methodology de-scribed in the follow sections.
The set of active tests have been split into 11 sub-categories for a total of 91 controls:- Information Gathering
- Configuration and Deployment Management Testing
- Identity Management Testing
- Authentication Testing
- Authorization Testing
- Session Management Testing
- Input Validation Testing
- Error Handling
- Cryptography
- Business Logic Testing
- Client Side Testing


Update Project: {{ project[0]['name'] }}
Deadline:
Use mm/dd/yyyy format
Progress:
0.0 - 100.0%
Priority:
Low
Medium
High
Urgent
Status:
Incomplete
Complete


Marks:
[Rectangles] mark encodes [the amount of money].
Visual channels:
[position-y] channel encodes [the rank of the amount of money].
[color] channel encodes [the amount of money (the darker, the larger the amount)].
Who is the audience?
The audiences for this visualization are people who read articles from Bloomberg, NYtimes, The Guardian, Washington Post, or World Bank. They may be interested in numbers behind the business world and market value behind companies like Apple. Also, the audiences may also be people who are passionate about social issues like income disparities and resource disparity between the 99% of people in the world and the top 1%.
Message and questions behind this visualization:
The primary goal of this visualization is to give comprehensible meanings to big numbers, like 1 trillion. For example, it uses Apple’s market value to represent 1 trillion and 13 trillion to represent the US’s household debt. It uses the size of the squares to compare the different aspects, for example, the world GDP has a much bigger square than Apple’s market value, proportional to their actual sizes 1 trillion vs. 75.6 trillion. The secondary goal of this visualization is to emphasize the wealth discrepancies between the 99% of people in the world and the top 1%. As shown in the graph, the wealth of the top 1% is on the lower right corner, which means the top 1% has more money than the money in all the world’s central banks, the world GDP, and even the total global debt. This visualization emphasizes the huge problem of income inequality in the world and raises awareness for this issue.
What data is encoded in the visualization?
Information on market value, GDP, debt, and wealth, and their corresponding values in trillions.
How does the visualization encode the data?
The visualization encodes the data in the Trillion Dollar-o-Gram, which utilizes the sizes of squares to compare the values.
What tasks do readers perform on the visualization?
Readers are able to compare values, gain an understanding of the relations between different aspects, and also identify the extreme (wealth of top 1%).
How are the five principles applied to this visualization?
Truthful: The visualization is truthful since it showed the data in context using the sizes of the squares and disclosed the data source.
Functional: The visualization was very easy to read, used accurate sizes of squares to represent numbers, and it supports the meaningful task: to provide context for large numbers.
Beautiful: The font and color progression adopts minimalist design principles and is very easy to read. Also, it is free of unnecessary elements.
Insightful: The visualization helped to confirm my belief in the wealth discrepancy in our society, but it revealed to me that the discrepancy is much larger than I thought.
Enlightening: The visualization went beyond the numbers and insights. It raised awareness of socio-economic issues that exist in our society.
Why is this visualization good?
As we talked about in class, context is very important when we want to represent data. This visualization provides the context for readers to understand what 1 trillion really means and how it compares to other important concepts like world GDP and wealth of the top 1%.
It also raised awareness for the income and wealth gap between the 99% and top 1%.
Link to this visualization.


In such a hurry to get rid of your headache, you didn't even look at the lable on the pill bottle. This is isn't aspirin... These are extra extra extra strength sleeping pills.


Solskjaer under pressure at Manchester United as Pochettino becomes available
by Magnus EriksenManchester United manager Ole Gunnar Solskjaer is reportedly under fresh pressure at the club as Mauricio Pochettino has become available.
The Argentine did fine work at Tottenham but has been sacked after a poor start to this season, with Jose Mourinho announced as his replacement as the new Spurs boss this morning.
MORE: Arsenal rival Manchester United for potential £85million transfer
All eyes will now be on Man Utd, with Pochettino long linked with the job at Old Trafford during his time in north London.
According to the Evening Standard, the 47-year-old was the clear first choice to replace Mourinho at United last season, and they remain huge admirers of his.
The report explains that United were willing to pay large sums of money to buy Pochettino out of his Tottenham contract, and they now don’t face that obstacle anyway.
Most MUFC fans will surely feel it’s worth snapping Pochettino up quickly as he’s surely in another league from Solskjaer in terms of what he’s achieved in the game so far in his managerial career, and will likely only end up at another leading European club if they don’t swoop.
Solskjaer has not been particularly convincing since becoming United manager and the Standard note that this development surely now puts him under even more pressure.
Luckily for the Norwegian, his team’s form has picked up in recent games, but it now seems highly likely that he cannot afford any more slip-ups in the near future.


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Risks
The idea here is are providing a donation towards a service that I am building upon Super.NET that possibly could return value back to you in the form of a token that can be sold as value later on if this endeavor completes successfully. As with any business venture, there are risks to be aware of, even if this is simply a donation. I am keeping a list of possible scenarios that would interfere with that success here.
I May Die
Chances: Negligible (< 3%)
This is a super brutal yet incredibly real possibility. The whole reason I am even on this course is that I recently had what I call a brush with death that I discuss at more length here. Even so, it wasn’t even a “brush,” but more of a miss by a few minutes, which was enough to spook me and put me on the path where you are now currently able to read this.
Carpe diem, my friend. Carpe diem.
I May Burn Out
Chances: Negligible (< 3%)
I do not consider this a significant possibility, but again, it could happen. If anything, I take a little lull. A good example is my recent run-in with an extraordinarily complex performance issue that took a tremendous amount of energy to solve. I actually have not gone back to coding since that time as I have been busy with my art project and this site here.
For reference, I had another incident like this occur last year when I had to spend a good part of summer cleaning and organizing family belongings, which was what I would consider a “once in a lifetime event,” sort of like this adventure that I am on now.
I would say a good measure of my productivity and progress is demonstrated by my work with the ExtendedXmlSerializer. My first commit was November 26th, 2016 and it didn’t ship until November 17th, 2017. I mostly worked fulltime on that project with the schedule described above during this time minus a few client obligations with my business as well as a two-week vacation.
I May Quit
Chances: Negligible (< 3%)
I have never quit on any business venture in my life that had value to me. It simply is not my nature. I chalk it up to being taught to finish every plate of food in front of me. It’s good training for life. In the slight event that this does occur, I would like to think that I would find a way to pass this project off to a custodian along with remaining funds so that it will continue.
I May Lose Interest
Chances: Negligible (< 3%)
The only thing I can point you to is the open letter I wrote in 2011 that basically outlined exactly what this project can do now. That’s seven years ago. I can further point you to the vote that I established nearly three years ago which now sits as the most popular vote in all of the MSFT feedback ecosystem. From that, I am apt to say that I am not going anywhere, but who knows, maybe I will wake up one morning and inexplicably go:
¯\(ツ)/¯ “Meh”
Which reminds me…
I May Get Swept Away by a Black Swan Event
Chances: Negligible (< 3%)
I am putting this up there to account for the unthinkable. A corporation could sweep in and offer me a job doing something somewhere and I drop this altogether. This seems absurd to me because I could get a job instantly making money right now and I am doing this instead as I feel this is way more important.
Or, I could win the lottery and have more money than I ever know how to handle. That seems a bit silly because I would tend to think I would use that money to ensure the efforts here get completed and I honor those that support me.
Maybe I get swept up by aliens and never return? That is basically covered under “I may die,” so not that. Not sure what else, which is why it’s called a Black Swan and why I am simply leaving it as an identified possibility.
Another Project That Does the Exactly Same Thing but Better Emerges
Chances: More Real than Not (> 50%)
Microsoft might take a cue and finally put something together. Someone could get further inspired and one-up me in full, complete with a decked-out rock star team to show me just how wrong I am in my thinking and approach of preferring jewelers to these one-person-bands.
All of these are very real possibilities. What’s important to me is that the art exchange is created and that my art goes on sale there, along with other artists who can do the same. I also have some key ideas about this exchange as well that are required. I would have to examine the competing ideas and make decisions accordingly. I would further make these decisions on ensuring donors getting value back if I can help it.
But the way that I see it, I have been talking about this space for about three years now and – even with so much interest – no one has seemingly listened to what I have had to say about it (or rather, act upon it), so this might actually be a non-issue and not one that I am entirely worried about yet.
I May Get Overwhelmed
Chances: Possible (< 25%)
A part of me is cringing at the whole notion of going through all this trouble to even declare what I am working on, and considers it probably the most foolish thing I have ever done. Agent Smith would not approve, either.
The risk, of course, is that I get focused on other activities rather than coding which is where I feel I should be and find a great deal of joy in life – when the code actually finally works, that is. If others join up and want to help out, then these sorts of things become a real potential as a legitimate distraction to have to manage. However, I would prefer that I stick to keeping things simple and ensure that I build out the necessary, core pieces first and then bring others on to help flesh them out.
I May Not Meet the Schedule
Chances: Possible (< 25%)
This is the biggest risk, in my mind. It may take longer than two years to build this vision. It is incredibly ambitious and I have an especially particular vision for it so that means that I will be building it personally. However, if enough donors contribute to provide enough additional runway, then it’s back to being a matter of time and managing other risks. As long as you are OK with me working at my own pace with the schedule I outline above and eventually launch even if that takes longer than originally expected, then so am I.
Summary
Let’s check out the rewards» or jump straight to donate now».


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