Reading data samples¶
nuts-ml does not have a specific type for data samples
but most functions operate on tuples
, lists
or numpy arrays
,
with a preference for tuples. For instance, a sample of the Iris data set could be
represented as the tuple (4.9, 3.1, 1.5, 0.2, 'Iris-setosa')
and the entire
data set as a list of tuples.
Basics¶
nuts-ml is designed to read data in an iterative fashion to allow the processing of arbitrarily large data sets. It largely relies on nuts-flow, which is documented here. In the following a short introduction of the basic principles.
We start by importing nuts-ml
>>> from nutsml import *
and create a tiny, in-memory example data set:
>>> data = [(1,'odd'), (2, 'even'), (3, 'odd')]
Data pipelines in nuts-ml require a sink that pulls the data. The two most common ones are Consume and Collect but there are many others.
Consume()
consumes all data and returns nothing, while Collect()
collects all data in a list.
As an example we take the first two samples of the data set. Without a sink the pipeline is
not processing anything at all and only the generator (stemming from Take()
) is returned.
>>> data >> Take(2)
itertools.islice at 0xbf160e8>
Adding a Collect()
results in the processing of the data and gives us what we want:
>>> data >> Take(2) >> Collect()
[(1, 'odd'), (2, 'even')]
The same pipeline using Consume()
returns nothing
>>> data >> Take(2) >> Consume()
but we can verify that samples are processed by inserting a Print nut:
>>> data >> Print() >> Take(2) >> Consume()
(1, 'odd')
(2, 'even')
A broken pipeline or a pipeline without sink is a common problem that can be debugged
by inserting Print()
functions. Very useful is also PrintType
that prints
type information in addition to data values:
>>> data >> PrintType() >> Take(2) >> Consume()
(<int> 1, <str> odd)
(<int> 2, <str> even)
Two other commonly used functions are Filter and Map.
As the name indicates, Filter
is used to filter samples based on a provided
boolean function:
>>> data >> Filter(lambda s: s[1] == 'odd') >> Print() >> Consume()
(1, 'odd')
(3, 'odd')
or maybe more clearly with additional printing
>>> def is_odd(sample):
... return sample[1] == 'odd'
>>> data >> Print('before: {},{}') >> Filter(is_odd) >> Print('after : {},{}') >> Consume()
before: 1,odd
after : 1,odd
before: 2,even
before: 3,odd
after : 3,odd
Map
applies a function to the individual samples of a data set, e.g.
>>> def add_two(sample):
... number, label = sample
... return number + 2, label
>>> data >> Map(add_two) >> Collect()
[(3, 'odd'), (4, 'even'), (5, 'odd')]
There is a convenience nut MapCol that maps a function to a specific column (or columns) of a sample. This allows us to write more succinctly
>>> add_two = lambda number: number + 2
>>> data >> MapCol(0, add_two) >> Collect()
[(3, 'odd'), (4, 'even'), (5, 'odd')]
Let’s combine what we have learned and construct a pipeline that extracts the first number in the data set that is even and converts the labels to upper case.
>>> to_upper = lambda label: label.upper()
>>> is_even = lambda number: number % 2 == 0
>>> first_even = (data >> FilterCol(0, is_even) >>
... MapCol(1, to_upper) >> Take(1) >> Collect())
[(2, 'EVEN')]
Here we used FilterCol
instead of Filter
to filter for the contents in column 0
(the numbers) of
the samples. Note that we wrap the pipeline into brackets, allowing it to run over multiple lines.
Alternatively, we could refactor the code as follows to shorten the pipeline:
>>> to_upper = MapCol(1, lambda label: label.upper())
>>> is_even = FilterCol(0, lambda number: number % 2 == 0)
>>> first_even = data >> is_even >> to_upper >> Head(1)
[(2, 'EVEN')]
This concludes the basics. In the following examples we will read data sets in different formats from the file system and the web.
TXT files¶
Let us start with reading data from a simple text file. Here a tiny example file
tests/data/and.txt
x1,x2,y
0,0,no
0,1,no
1,0,no
1,1,yes
We can loads the file content with Python’s open
function that returns an
iterator over the lines and collect them in a list
>>> open('tests/data/and.txt') >> Collect()
['x1,x2,y\n', '0,0,no\n', '0,1,no\n', '1,0,no\n', '1,1,yes']
Of course, open('tests/data/and.txt').readlines()
would have achieved the same.
However, samples as strings are not very useful. We would like samples to be
represented as tuples or lists containing column values. First, we therefore define a
nut function that strips white spaces from lines and splits a line into
its components:
>>> split = Map(lambda line : line.strip().split(','))
This as a Map
because it will be applied to each line of the file.
Let us try it out by reading the header of the file
>>> lines = open('tests/data/and.txt')
>>> lines >> split >> Head(1)
[['x1', 'x2', 'y']]
where Head(n)
is a sink that collects the first n
lines in a list (here only one line).
As expected, we get the header with the column names.
Since open
returns an iterator, lines
is ready to deliver the remaining
lines of the file. For instance, we could now write
>>> lines >> split >> Print() >> Consume()
['0', '0', 'no']
['0', '1', 'no']
['1', '0', 'no']
['1', '1', 'yes']
which prints out the samples following the header.
Note that Consume
does not collect the samples - it just consumes them and
returns nothing. Good for debugging but not suitable for further processing.
We therefore rerun the code and collect the samples in a list. But careful!
The lines
iterator has been consumed. We have to reopen the file to
restart the iterator:
>>> lines = open('tests/data/and.txt')
>>> lines >> Drop(1) >> split >> Collect()
[['0', '0', 'no'], ['0', '1', 'no'], ['1', '0', 'no'], ['1', '1', 'yes']]
We use Collect
to collect the samples and Drop(1)
means that we
skip the header line when reading the file.
Next we need to convert the strings containing numbers to actual numbers.
MapCol
can be used to map Python’s int
function on specific columns of the
samples; here columns 0
and 1
of the samples contain integers:
>>> lines = open('tests/data/and.txt')
>>> to_int = MapCol((0, 1), int)
>>> skip_header = Drop(1)
>>> samples = lines >> skip_header >> split >> to_int >> Collect()
>>> print(samples)
[(0, 0, 'no'), (0, 1, 'no'), (1, 0, 'no'), (1, 1, 'yes')]
Of course, we had to reload lines
again and just for readability gave the
Drop(1)
function a meaningful name (skip_header
). We end up with a
short pipeline that lazily processes individual lines, is modular and
easy to understand: lines >> skip_header >> split >> to_int >> Collect()
The equivalent Python code without using nuts-flow/ml or itertools
would be
def split(line):
return line.strip().split(',')
def to_int(sample):
x1, x2, label = sample
return int(x1), int(x2), label
lines = open('tests/data/and.txt')
next(lines)
samples = [to_int(split(line)) for line in lines]
If you prefer Python functions but still want to use pipelining, the Python functions can be converted into nuts and then piped together as before:
@nut_function
def Split(line):
return line.strip().split(',')
@nut_function
def ToInt(sample):
x1, x2, label = sample
return int(x1), int(x2), label
lines = open('tests/data/and.txt')
samples = lines >> Drop(1) >> Split() >> ToInt() >> Collect()
As a final example, we will convert the class labels that are currently strings to integer numbers – usually needed for training a machine learning classifier. We could define the following nut and add it to the pipeline:
>>> label2int = MapCol(2, lambda label: 1 if label=='yes' else 0)
>>> open('tests/data/and.txt') >> skip_header >> split >> to_int >> label2int >> Collect()
[(0, 0, 0), (0, 1, 0), (1, 0, 0), (1, 1, 1)]
However, nutsml already has the ConvertLabel nut and we can simply write instead:
>>> labels = ['no', 'yes']
>>> convert = ConvertLabel(2, labels)
>>> samples = (open('tests/data/and.txt') >> skip_header >> split >> to_int >>
... convert >> Print() >> Collect())
(0, 0, 0)
(0, 1, 0)
(1, 0, 0)
(1, 1, 1)
Using ConvertLabel has the additional advantage that the conversion back from integers to strings is trivial:
>>> samples >> convert >> Print() >> Consume()
(0, 0, 'no')
(0, 1, 'no')
(1, 0, 'no')
(1, 1, 'yes')
ConvertLabel(column, labels) takes as parameter the column in a sample that contains the class label (here column 2) and a list of labels. If the class label is a strings it converts to an integer and vice versa. ConvertLabel can also convert to one-hot-encoded vectors and back:
>>> convert = ConvertLabel(2, labels, onehot=True)
>>> samples = (open('tests/data/and.txt') >> skip_header >> split >> to_int >>
... convert >> Print() >> Collect())
(0, 0, [1, 0])
(0, 1, [1, 0])
(1, 0, [1, 0])
(1, 1, [0, 1])
>>> samples >> convert >> Print() >> Consume()
(0, 0, 'no')
(0, 1, 'no')
(1, 0, 'no')
(1, 1, 'yes')
CSV files¶
You will have noticed that the file tests/data/and.txt
used above is actually a
text file in CSV (Comma Separated Values) format.
x1,x2,y
0,0,no
0,1,no
1,0,no
1,1,yes
Reading of CSV files is so common that Python has a dedicated CSV library for it. Similarily, nuts-ml provides ReadCSV, ReadNamedCSV and ReadPandas to read CSV and similar file formats directly.
For instance, we could use ReadCSV()
to read the file contents as follows:
>>> filepath = 'tests/data/and.csv'
>>> with ReadCSV(filepath, skipheader=1, fmtfunc=(int,int,str)) as reader:
>>> samples = reader >> Collect()
>>> print(samples)
[(0, 0, 'no'), (0, 1, 'no'), (1, 0, 'no'), (1, 1, 'yes')]
This code also properly closes the data file – a detail we have neglected before.
Note that we skip the header (skipheader=1
) and convert the strings in the file to
integers for the first two columns (fmtfunc=(int,int,str)
).
Provided a CSV file has a header, we could also use ReadNamedCSV()
, which returns
the more informative named tuples
instead of plain tuples:
>>> with ReadNamedCSV(filepath, fmtfunc=(int,int,str)) as reader:
>>> reader >> Print() >> Consume()
Row(x1=0, x2=0, y='no')
Row(x1=0, x2=1, y='no')
Row(x1=1, x2=0, y='no')
Row(x1=1, x2=1, y='yes')
The code becomes even simpler with ReadPandas
, which picks good
data types for columns automatically. Note, however, that this nut is
not lazy and reads all data in memory
>>> from nutsml import ReadPandas
>>> ReadPandas(filepath) >> Print() >> Consume()
Row(x1=0, x2=0, y='no')
Row(x1=0, x2=1, y='no')
Row(x1=1, x2=0, y='no')
Row(x1=1, x2=1, y='yes')
ReadPandas
furthermore can read TSV (Tab Separated Values) files and
other similar formats, and can easily extract or reorder columns or filter rows:
>>> colnames = ['y', 'x1']
>>> ReadPandas(filepath, colnames=colnames) >> Print() >> Consume()
Row(y='no', x1=0)
Row(y='no', x1=0)
Row(y='no', x1=1)
Row(y='yes', x1=1)
>>> rows = 'y == "no"'
>>> ReadPandas(filepath, rows, colnames) >> Print() >> Consume()
Row(y='no', x1=0)
Row(y='no', x1=0)
Row(y='no', x1=1)
NumPy arrays¶
To use NumPy arrays as data sources we need to wrap them into an iterator. In the following example we create an identity matrix, iterate over the rows, and print them:
>>> import numpy as np
>>> data = np.eye(4)
>>> iter(data) >> Print() >> Consume()
[1.0, 0.0, 0.0, 0.0]
[0.0, 1.0, 0.0, 0.0]
[0.0, 0.0, 1.0, 0.0]
[0.0, 0.0, 0.0, 1.0]
Note that NumPy arrays larger than memory can be loaded and then processed with np.load(filename, mmap_mode=’r’).
Web files¶
nuts-ml allows us to download and process data files from the web on the fly. Alternatively you can download the file and the process its content as described above. In the following example, however, we download and process the Iris data set line by line. First, we open the URL to the data set located on the UCI machine learning server:
>>> import urllib
>>> url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
>>> lines = urllib.request.urlopen
We now can inspect the first two lines of the data set:
>>> lines(url) >> Head(2)
[b'5.1,3.5,1.4,0.2,Iris-setosa\n',
b'4.9,3.0,1.4,0.2,Iris-setosa\n']
Here, lines
is just a renaming of the urllib.request.urlopen
function and Head(2)
collects the first two lines. You will notice that the lines are in binary (b) format.
The following code convert lines to strings, strips the the newline, and splits at comma
to give us samples with columns:
>>> to_columns = Map(lambda l: l.decode('utf-8').strip().split(','))
>>> lines(url) >> to_columns >> Head(2)
[['5.1', '3.5', '1.4', '0.2', 'Iris-setosa'],
['4.9', '3.0', '1.4', '0.2', 'Iris-setosa']]
The four numeric features in columns 0 to 3 of the samples are still strings but we want floats.
Mapping the float
function on those columns will do it:
>>> to_float = MapCol((0,1,2,3), float)
>>> lines(url) >> to_columns >> to_float >> Head(2)
[(5.1, 3.5, 1.4, 0.2, 'Iris-setosa'),
(4.9, 3.0, 1.4, 0.2, 'Iris-setosa')]
Finally, we are going to replace the class labels (e.g. 'Iris-setosa'
) by
numeric class indices. We could look the the names of the classes up, but
being lazy we extract them directly via
>>> skip_empty = Filter(lambda cols: len(cols) == 5)
>>> labels = lines(url) >> to_columns >> skip_empty >> Get(4) >> Dedupe() >> Collect()
['Iris-setosa', 'Iris-versicolor', 'Iris-virginica']
where Get(4)
gets the elements in the fourth column of the sample and Dedupe()
removes all duplicate labels. We need skip_empty
, since the data set contains an
empty line at the end.
We now can use the extracted labels
and the ConvertLabel
nut to convert
the class labels in column 4 from strings to class indices. For showcasing, we
download the entire data set but print only every 20-th sample.
>>> (lines(url) >> to_columns >> skip_empty >> to_float >>
... ConvertLabel(4, labels) >> Print(every_n=20) >> Consume())
(5.1, 3.8, 1.5, 0.3, 0)
(5.1, 3.4, 1.5, 0.2, 0)
(5.2, 2.7, 3.9, 1.4, 1)
(5.7, 2.6, 3.5, 1.0, 1)
(5.7, 2.8, 4.1, 1.3, 1)
(6.0, 2.2, 5.0, 1.5, 2)
(6.9, 3.1, 5.4, 2.1, 2)
Label directories¶
A common method to organize data and assign labels to large data objects such as text files, audio recordings or images is to create directories with labels as names and to store the data objects in the corresponding directories.
For an example let us assume two classes (0
and 1
) and three text files
that are arranged in the following file structure
- books
- 0
- text0.txt
- 1
- text1.txt
- text11.txt
nuts-ml supports the reading of such file structures via ReadLabelDirs(). The following code demonstrates its usage:
>>> samples = ReadLabelDirs('books', '*.txt')
>>> samples >> Take(3) >> Print() >> Consume()
('books/0/text0.txt', '0')
('books/1/text1.txt', '1')
('books/1/text11.txt', '1')
Note that this code does not load the actual text data but the file paths only.
However, we could easily implement a Process
nut that loads and processes
the text files individually without loading all texts in memory at once.
For instance, converting text files into word count dictionaries.
@nut_function
def Process(sample):
filepath, label = sample
with open(filepath) as f:
counts = f.read().split(' ') >> CountValues()
return counts, labels
samples = ReadLabelDirs('books', '*.txt')
word_counts = samples >> Process() >> Collect()


Chase Kregor v28.0
Inspired by Brad Feld’s birthday posts, and last year’s post, I thought I would make my own.
Work
27 was a really weird year career-wise. I navigated some tough career decisions all during COVID.
I am now working at a value-based healthcare startup. My role is the perfect mixture of business and technical skills right now. I can truly say I am at my dream job. I wish I would have joined a startup sooner. I love that it’s growing my technical skills and teaching me how to analyze and communicate different healthcare deal structures. Looking forward to potentially managing people in the future.
Play
Some highlights from 2021:
- Archery elk hunt in the fall in which I came within 20 yards of two bull elk and even closer to a bear, unfortunately. Not getting one of those elk is going to bother me all year.
- Spent the 4th of July camping at Twin Lakes with Abby. A memory I will never forget
- I ran at least 1 mile a day for 126 days in a row.
- The first year I have ever legitimately gotten into running.
- Went snowshoeing for the first time with Abby in Breckenridge
- Went spring Turkey hunting and missed a turkey with my bow.
- I grew ~50 tomatoes this Spring! Gardening is AWESOME!
- Abby and I threw a Toure de France party which was a blast
- Hiked a 14er with Abby (her first 14er!)
- Went to Yosemite, it genuinely lives up to the hype.
- Did an overnight elk scouting trip with Abby. I am so lucky to have a partner that supports my hobbies.
- Got more into hiking this year.
Abby
I proposed to Abby and she said yes. It is the proudest accomplishment of my life. Now planning a wedding.
Time
Lost my last grandparent this year. You have a lot less time than you realize. Try to make today and every day after it count.
Goals
- Get married in 2022.
- To consistently and simultaneously work out AND work at my job very hard. In the past, I have done one of these things very well sacrificing performance on the other. This year I really want to focus on optimizing the two of these areas of my life.
- Learn more about personal finance and what it means for me
- Explore the topic of leadership, reading about great leaders throughout history.


Generate image in CSS with box-shadow
Picture to convert or
Pixel size (in px)
background color (for remove)


Robot Encryption
问题描述 :
Instead, he based it on the fact that the cheaters are likely to be the worst programmers. The decryption requires some programming skill, and should
therefore be safe.
Along with the encrypted message, he sent explanation of how to decrypt it. The only problem now is that not all jury members are able to implement the decryption. This is where we need your help.
You need to help us decrypt these messages by writing a program that does the task. Decryption is performed by simulating a robots movement on a grid. The robot is initially placed in the north-west corner of the grid, facing south. The robot is a simple one, and only accepts three dierent commands:
L turns the robot 90 angle to the left.
R turns the robot 90 angle to the right.
F moves the robot one square forward. If moving forward would cause the robot to fall of the grid, the robot instead makes a 180 angle turn without moving.
Instructions to the robot is given in a series of commandsets. A commandset is a string of commands, with the possible addition of loops. A loop is given on the form "(commandset)number" where number is the number of times the commandset inside the parentheses should be run. Longer sequences of commands can be built up recursively in this fashion. More formally:
commandset ::= instruction+
instruction ::= command | loop
loop ::= "(" commandset ")" number
command ::= R | L | F
number ::= 1 |2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
The decrypted text is the text string obtained by concatenating the characters on the grid positions the robot stands on after executing each commandline.
输入:
输出:
样例输入:
1 6 7<PHONE_NUMBER>AB CDEFGH IJKLMN OPQRST UVWXYZ _! .,& 12 FFL(F)5 (F)4 (LF)2 (L(R)6L)9 RFRFFF (L(F)2)2 LF FLFF FFFF LF FLFF L(F)4
样例输出:
HELLO WORLD!
圣母白人要自食其果咯~
圣母白人要自食其果咯~
圣母白人要自食其果咯~
圣母白人要自食其果咯~
圣母白人要自食其果咯~
圣母白人要自食其果咯~
圣母白人要自食其果咯~
http://beeder.me 这个网站上有很多poj和hihoCoder的题解，质量不错，欢迎转载。
多谢支持！
有一点问题。。后面动态规划的程序中
int dp[n+1][W+1];
会报错 提示表达式必须含有常量值。该怎么修改呢。。
代码过于复杂了吧
gcc环境
我想整理一下leetcode的题解，站长能不能给权限
看似简单，还是不少坑的
顺利测试通过了，多谢
确实有点难度，搞了好久。int溢出要注意
算法是程序的灵魂，算法分简单和复杂，如果不搞大数据类，程序员了解一下简单点的算法也是可以的，但是会算法的一定要会编程才行，程序员不一定要会算法，利于自己项目需要的可以简单了解。
A猴子认识的所有猴子和B猴子认识的所有猴子都能认识，这句话用《爱屋及乌》描述比较容易理解……
有意思，有难度
很好的思路，可以借鉴
好吧~


This Website is made for our Twitter Network project in Advanced Project in Digital
Media Engineering (02830) at DTU. In this project we have gained access to a large dataset for
mutual replies in 2016.
Our goal for this dataset is to give an insight on the network structure
and make an interactable Sankey/Alluvail Diagram that shows the changes of the top 100 communities for each
month.
The dataset consist of two ids (one for each user) and timestamps that states when they communicated. This data was spread over 55.198 files to a total of 46.5GB. Therefore we created a csv file for each month that contains the two ids and how many times, the two users have communicated during that month. An example of the file structure can be seen below.
| Id 1 | Id 2 | Weigth |
|---|---|---|
|<PHONE_NUMBER> |<PHONE_NUMBER> | 1 |
|<PHONE_NUMBER> |<PHONE_NUMBER> | 1 |
|<PHONE_NUMBER> |<PHONE_NUMBER> | 1 |
| 127509821 |<PHONE_NUMBER> | 1 |
|<PHONE_NUMBER> |<PHONE_NUMBER> | 5 |
The average file size is around 2.8GB with the exception of December, that have a size of 0.9GB. Since the dataset 'only' contain 10% of the total twitter activity, we made a confusion matrix test if there is an high similarity between months.
Looking at the confusion matrix it's visible that there are some new users for each month, while most remain. Meaning it's likely for us to track users over time and that there are changes in the networks which we can examine. The last month (December) have a vast difference than all the others, which is likely the result of that the amount of data observation is a thrid compared to the others months and therefore will we exclude the last month.
| Month | Number of Nodes | Number of Links | Average clustering |
|---|---|---|---|
| January | 33,455,916 | 100,462,806 | 0.0529 |
| February | 31,510,156 | 92,101,514 | 0.0529 |
| March | 32,879,673 | 98,598,768 | 0.0547 |
| April | 32,379,573 | 95,061,371 | 0.0542 |
| May | 32,724,774 | 97,420,295 | 0.0549 |
| June | 32,757,898 | 96,838,066 | 0.0539 |
The slideshow shows the degree distrubution of the network on a log scale and on a scale showing the number of nodes with k links.
The alluvial diagram shows the temporal changes in communities over months from January-June.


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-->


When you work with us,you are part of a team of commited colaborators.All aspects of our software development process are integrated,interactive
and agile
Our approach unifies design,development and product management to create exceptional products.
We start each project by understanding your bussiness goals,the user's needs and the product requirements
Then we help to translate them into effective and elegant solutions.
Before we sign a contract or write a lign of code,our team will spend the neccessary time needed to understand your product vision
The outcome of this scoping is proposal or high level statement of work
based on your requirements ,we can provide a complete offering or just the pieces you need.
Our design offers a full range of services including brand strategy,interaction and visual designand user experience testing.
Throughout your project,our designers create and implement visual design and work flows,solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise,mobile and web development technologies.
They collaborate with your team to write and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative.Because we are constantly coding and testing,the products we build are ready to go live.
This iterative process allows for changes as bussiness requirements evolve.
Black Work
Ontario
Best Designs
Jim Carley
Elena app
Birthday
Mock Up
Restaurant


October 2022 Status Update
Woohoo it’s the first Tuesday of the month. That means it’s time for your latest monthly starbeam.one status update. ✨
Welcome to the Phase I Alpha!
Today marks the official beginning of the Phase I Alpha (or “Alpha I”) of starbeam.one. As you might recall, we started with the preview back in February, and then the Friends & Family Alpha in June.
Since then it’s been a mad dash to arrive to this point. This past month especially has been a total whirlwind of features, fixes, and so much more! I would like to spend some time talking about what’s transpired and what the plans for the next few months.
Three Full Years of Development
First, I would like to acknowledge a great personal moment here and share that it’s been three full years of development with this project, starbeam.one. Three years ago in October 2019 I had just taken a vacation and was abuzz for the future, knowing that Blazor had just been released and was to the point of being recommended for production deployments.
Believe it or not, I initially thought this project was going to take 6 weeks of development 😅. Well, such is software. Three years later and I feel I am only touching the surface.
I am more than proud of what I have accomplished so far with this project. When I started it, I wanted to have something in place where I could fall back on it in case I had to go looking for work. Luckily that never happened and I have been able to bootstrap this with personal resources (I’ve been living like a monk in doing so, however!).
So, here’s to three years! We are actively generating revenue and starting on the path towards allowing artists to earn a living by publishing their art. I am beyond excited for the next three years and beyond.
Emergence of AI Art
The past three years has gone by like a day it feels like. What has also happened during that time – starting this summer – is the emergence of AI art. It not only allows you to create great art, but also artifacts that can be used with published works of art, which we are using here for starbeam.one. Covers and background images are created using AI, as well as the main product. To me, this is glorious and welcomed.
While AI art is a focus right now, I still want to have the ability to onboard human-made art and make that a feature as well. I am of the belief that both can live in harmony.
Onboarding The Market
Alright, so I’ve been at this for three years now, AI art is super hot, what else has happened? Well, we are starting to onboard a marketplaced here at starbeam.one. That means artists and collectors. I am very happy to announce that as of this morning we have five artists and five collectors. I am beyond humbled by this development, and cannot wait to see how it progresses.
Artist Workflow
That stated, we are looking to build out this market. Are you an artist that is looking to sell their work? You can be AI-focused or traditional (human), we support both!
If interested, I have created a video doing the walkthrough to get you situated. This has received positive feedback and comments from artists who have used it, so I am happy with the results so far. Here it is for your review:
Early Collector Special Program
If you are interested in becoming a collector, you can do so in confidence via a special program that I have put together, the Early Collector Special Program. For the first 25 users that purchase Flares (the virtual currency of starbeam.one), you automatically get enrolled into this program.
Those in the program have their digital purchases for the first year of use guaranteed of satisfaction or their money back. What this means is that you can use starbeam.one for an entire year and if you are not happy at the end of the year of use I will buy back your entire collection and refund your money. Please note that this program covers the first $5 of purchases up to a maximum value of $60.
For more information I have created the following video for your viewing:
Planned Features
Whew, I’m not done yet! In fact, I haven’t even gotten to the whole point of this post which is to talk about the features of the next few months.
I am debating whether to take another four months or to make it shorter with two months. Since we’ve done two four month releases so far (February 2022, June 2022, & today), I may make the next big release in February. But there may be a pitstop in December. We’ll see. :)
In any case, these are the major features I have in mind for the next phase:
Discord Bot
I am currently working on a Discord bot that will take a Midjourney generation and upload it directly to starbeam.one as a product definition.
✨ I also have additional nifty features in mind for this. Stay tuned. ✨
Publishing Improvements
There have been some identified friction points in the publishing process that I want to get fixed. Primarily if someone makes a mistake with their issuance they are stuck with it. We want to provide a way to “destroy” (or “burn” in crypto parlance) their issuance and get a new one. I’ve already fell victim to this so this is a priority!
Email Support
I’ve mentioned this a couple times now and as you can see it’s been pushed due to the other issues above. I want to make email addresses a requirement for account creation. This will be invaluable for support. (As I mentioned this is an obvious learning lesson that I should have had in place in February).
Account Features
There is some friction with logging in at the moment, mostly with accidentally creating new accounts when you intended to link them. We need to have the ability to merge accounts and make it more obvious you are creating a new account when you’ve already done so on your device.
Subscriptions
Finally, I would like to get subscriptions in place. These are not your traditional subscriptions. They are more like allotments, but they have subscription qualities. Essentially, you allot a certain amount of Flares per month to a creator, and if they meet some of all of it, then it goes to them, and if not, it rolls over to the next month. It’s a way of consistently supporting a creator without having to visit the web site each time a publishing is made.
Stand-Up & Shine (& Shill)
WOW this has been an update! So much activity in the past month and things are only getting started it feels. With the monthly update I have also recorded the latest Standup and Shine (and Shill) so you can see that here:
Thank you very much for your time in reading this, and for all your support with starbeam.one for the past three years. Until next time, stay bright out there. ✌✨


You need to have the Kitura CLI installed.
There are various commands you can run via the CLI.
| Command | Description |
|---|---|
| kitura init | Create a cloud ready Kitura application. |
| kitura api | Create a cloud ready Kitura application with OpenAPI for testing. |
| kitura basic | Create a bare bones Kitura project with a `Hello World` example route. |
| kitura create | Creare a custom Kitura project via command prompts. |
| kitura idt | Install IBM Cloud Developer Tools |
| kitura build | Build the project in a local container using IBM Cloud Developer Tools. |
| kitura run | Run the project in a local container using IBM Cloud Developer Tools. |
| kitura --help | Display information about each Kitura CLI command. |
| kitura help [cmd] | Display information about a specific Kitura CLI command. |
The Kitura Command Line Interface, or CLI, provides easy to use commands for creating a Kitura server.
NOTE: Kitura CLI commands need to be run in an empty directory
First
mkdir SampleProject && cd SampleProject
kitura init
Add logging: Get useful feedback from your server about startup and errors
Add routing: Add REST APIs, such as HTTP GET, to your server


--- title: My Weblog -- The Insufficiency of Scrum layout: post ---
Scrum is often promoted and adopted as a holistic software development methodology. It simply isn't. It doesn't help us manage our project goals, and it encourages us to build software that grows increasingly hard to change. Scrum is great at what it is intended to do, but it only provides a subset of the Agile practices we need to succeed.


Bob's online store is basically created Bob Belcher on 27 November 2014. We basically make and sell our own collection of products.


--- layout: page title: About header-img: 'img/about-bg.png' ---
Collection of blog posts I wrote while working through the Flatiron School curriculum.


|
Zapatec Utils | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Object | +--Zapatec.SRProp
Defined in zpobjects.js
| Constructor Summary | |
Zapatec.SRProp(obj)
object for saving and restoring properties of the given object - SRProp (Save Restore Object Properties) |
| Method Summary | |
Object
|
destroy()
Destroys an object. |
object
|
getObject()
Returns the object we are working with. |
Object
|
getProp(propName)
Gets property value by name from the savedProp array You should not overwrite this method as it is core of the object. |
object
|
getSavedProps()
Returns the hash of the saved properties. |
boolean
|
isEmpty()
Checks if hash of saved properties is empty. |
void
|
restoreAll()
Restores all properties from the savedProp array You should not overwrite this method as it is core of the object. |
Object
|
restoreProp(propName)
Restores the named property from savedProp array. |
Object
|
restoreProps(propName)
Restores the named properties from savedProp array You should not overwrite this method as it is core of the object. |
Object
|
saveProp(propName)
Saves the named property to savedProp array You should not overwrite this method as it is core of the object. |
Object
|
saveProps()
Saves the named properties to savedProp array You should not overwrite this method as it is core of the object. |
| Constructor Detail |
Zapatec.SRProp(obj)
obj
- [object] - object to work with this class adds methods to any given object which enable to save and restore properties using following \code var object = {}; ob = new Zapatec.SRProp(obj); object.prop = ""; ob.saveProp("prop"); object.prop = "ttt"; ob.restoreProp("prop"); ob.restoreAll(); \endcode
| Method Detail |
Object destroy()
object getObject()
Object getProp(propName)
propName
- [string] - name of the property to get - can be the followin "prop", "level1.level2" and so on.
object getSavedProps()
boolean isEmpty()
void restoreAll()
Object restoreProp(propName)
propName
- [string] - name of the property to restore - can be the followin "prop", "level1.level2" and so on.
Object restoreProps(propName)
can
- be any set of params, but only strings will be parsed.
Object saveProp(propName)
propName
- [string] - name of the property to save - can be the followin "prop", "level1.level2" and so on.
Object saveProps()
can
- be any set of params, but only strings will be parsed.
|
Zapatec Utils | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


... Where Credit Is Due
Posted July 11, 2018
"And I never could have come this far without you
For everything you've done, you know I'm bound
I'm bound to thank you for it." — Natalie Merchant
Starting a journey without a map
When I signed up for KU's full-stack program last fall, I really didn't know what to expect. I completed my second degree several years a go, and although I've consistently earned certificates, attended workshops and taken non-degree seeking classes, I'd never done anything this intense. I was sure I wanted to become a developer, but I prepaid as added incentive to stick with it just in case.
Meet your lifesavers, a.k.a. TAs
Along with our great instructors, Ryan and Ryan, our cohort had two amazing TAs: Byron and Cameron. Whether they were alleviating homework angst, saving us from installation pitfalls, tirelessly debugging bad code or imparting general wisdom (keep it DRY!), these guys were always there for us. I know they sometimes doubted whether we were listening, but I for one will always remember their guidance and patience.
Discovering mentors along the way
KU also provides full-stack students with access to career services and weekly tutoring sessions. On the career side, burgeoning developers can't find a better cheerleader than Amber. She mixes positivity with great tips on networking and job hunting, and even if your code is broken you can't help perking up after an Amber chat. My tutor, Maxwell, provided structured guidance geared toward ensuring I adopted good coding habits from the get-go. I started more than one session with him at Defcon 1, only to be calm, cool and capable of progressing further by the end of the hour. If future employers notice my clean, indented, well-commented code, I'll be sure to give Maxwell credit.
A good portion of learning to code is tracking down your own solutions. I'd be remiss if I didn't thank my mentor Rowan Hamilton for teaching me to Google smarter. I know it sounds odd, but you have to search differently when you seek answers to why two NPM packages have conflicts or hunt for a React-based workaround for your sticky footer issue.
I'm still no pro. But watching Rowan break a bug down to its separate parts then solve them one by one 'til the code worked was like a real-world re-enactment of the mantra Ryan, Byron, Cameron, and Maxwell kept repeating: Tackle one issue at a time. Console log is your friend. Use your DevTools wisely. And one day a true developer you may be.
Exploring the knowledge that lies ahead
I've reached the stage of my coding journey where the rest is up to me. But my mentor is still around (I know where you live, Rowan. And I know what kind of cake you like!), and I've already kicked off a new mentorship through (KCWiT) that I'm excited to undertake. Keeping in touch with fellow students ... attending new workshops and Meetups ... there are plenty of ways to find help navigating the development universe. Maybe someday I'll even be competent enough to return the favor to another new developer starting down this amazing road.


Lorem ipsum dolor sit amet, consectetur adipiscing elit. In sed lobortis sapien. Sed id lectus sit amet lorem fermentum laoreet. Nullam posuere, enim vel consequat efficitur, nulla massa vulputate neque, et tincidunt odio nisi nec lorem. Maecenas vestibulum sodales nisi. Suspendisse purus dui, convallis egestas ipsum tempus, varius tincidunt quam. Suspendisse dui eros, ultrices in ex ac, malesuada accumsan sem. Integer mattis enim tortor, ac sollicitudin magna faucibus eu. Donec lectus arcu, accumsan non nibh in, scelerisque mollis leo. Etiam eu sollicitudin leo, in mattis turpis. Pellentesque tincidunt convallis consectetur. Sed eget tellus urna. Sed venenatis augue metus, a aliquam nibh cursus tempus.
I miss the old Harambe. Straight from the zoo Harambe. Eating his food Harambe. No attitude Harambe.  Shot by a dude Harambe. The Youtube views Harambe. Up in the news Harambe. I miss the sweet Harambe. Playing with kids Harambe. I gotta say at that time I'd like to meet Harambe. See I invented Harambe. It wasnt any Harambes. And now i look and look around and there's no more Harambes. I used to love Harambe. I used to love Harambe. I even had the silverback I thought I was Harambe. What if Harambe made a song about Harambe. Called "I miss the old Harambe", man that would be so Harambe. That's all it was Harambe. We still love Harambe. And I love you like Harambe loves toddlers.
Check my gallery.I miss the old Harambe. Straight from the zoo Harambe. Eating his food Harambe. No attitude Harambe.  Shot by a dude Harambe. The Youtube views Harambe. Up in the news Harambe. I miss the sweet Harambe. Playing with kids Harambe. I gotta say at that time I'd like to meet Harambe. See I invented Harambe. It wasnt any Harambes. And now i look and look around and there's no more Harambes. I used to love Harambe. I used to love Harambe. I even had the silverback I thought I was Harambe. What if Harambe made a song about Harambe. Called "I miss the old Harambe", man that would be so Harambe. That's all it was Harambe. We still love Harambe. And I love you like Harambe loves toddlers.
Contact me here.HomeStory Cup XVI
Mauris sed libero. Suspendisse facilisis nulla in lacinia laoreet, lorem velit accumsan velit vel mattis libero nisl et sem. Proin interdum maecenas massa turpis sagittis in, interdum non lobortis vitae massa. Quisque purus lectus, posuere eget imperdiet nec sodales id arcu. Vestibulum elit pede dictum eu, viverra non tincidunt eu ligula.
| vs | vs | vs | Mirrors | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Map | # | Σ | % | Σ | % | Σ | % | ||||||||||
| Abyssal Reef LE | 33 | 6 | 1 | 5 | 16.7% | 11 | 4 | 7 | 36.4% | 7 | 4 | 3 | 57.1% | - | 8 | 1 | |
| Ascension to Aiur LE | 46 | 10 | 5 | 5 | 50% | 20 | 11 | 9 | 55.0% | 8 | 5 | 3 | 62.5% | - | 5 | 3 | |
| Blackpink LE | 40 | 8 | 2 | 6 | 25.0% | 14 | 8 | 6 | 57.1% | 7 | 4 | 3 | 57.1% | 1 | 8 | 2 | |
| Battle on the Boardwalk LE | 17 | 5 | 2 | 3 | 40.0% | 5 | 3 | 2 | 60.0% | 1 | 1 | 0 | 100.0% | 1 | 5 | - | |
| Catalyst LE | 45 | 4 | 2 | 2 | 50.0% | 19 | 11 | 8 | 57.9% | 7 | 2 | 5 | 28.6% | 1 | 11 | 3 | |
| Neon Violet Square LE | 21 | 6 | 3 | 3 | 50.0% | 5 | 3 | 2 | 60.0% | 7 | 2 | 5 | 28.6% | - | 3 | - | |
| Odyssey LE | 34 | 7 | 4 | 3 | 57.1% | 10 | 6 | 4 | 60.0% | 7 | 5 | 2 | 71.4% | 1 | 6 | 3 | |
| Unknown LE | 2 | - | - | - | - | - | - | - | - | 2 | 2 | 0 | 100.0% | - | - | - | |
| Total Sum | 238 | 46 | 19 | 27 | 41.3% | 84 | 46 | 38 | 54.8% | 46 | 25 | 21 | 54.3% | 4 | 46 | 12 |


Welcome to your dashbord. your average are:
average temperature is
---
average humidity is
average co2 is
average pressure is
average TVOC is


{% extends "layout.html" %} {% block content %}
Our gradient boost model predicted with 76% certainty that this Kickstarter campaign will...
Want to learn more about how this prediction was made?
{% endif %}Our gradient boost model predicted with 76% certainty that this Kickstarter campaign will be a...
Want to learn more about how this prediction was made?
{% endif %}


If you have any questions and queries, we are there to help you. Reach us.
Plot No.70, Near Audi Services, Beverly Hills, Kakatiya Hill, Madhapur, Hyderabad – 500 081
+91<PHONE_NUMBER>
info@majlisdarbar.in


| Event Name | Category | Event Place | Time Start | Time End | Notes |
|---|---|---|---|---|---|
| Jim Brickman | Livestreamed | Online | 4:30 PM | 5:30 PM | Multiple Days between 8/14 to 8/17 |
| Beaverton Virtual Night Market | Community | Online | 7:00 PM | 9:00 PM | Multiple Days 8/14 & 8/15 |
| Zoo Concert | Music | Online | 8:00 PM | 10:00 PM | 08/16/2020 |
| Beaverton Virtual Night Market | Community | Online | 7:00 PM | 9:00 PM | Multiple Days 8/22 & 8/23 |


Hazelcast 5.1
The Hitchhiker's Guide
Born in 2008 in Turkey as a simple caching solution...
source: Hazelcast
The Hazelcast IMDG is an operational in-memory computing platform that manages data and distributes
processing using memory and parallel execution for breakthrough application speed and scale.
source: Hazelcast
source: Hazelcast
source: Hazelcast
source: Hazelcast
source: Hazelcast
IMDG
In-Memory Data Grid
In-Memory (no persistence)
Storage/Computation
Multiple processes working as a group
Cache Access Patterns
Read-through
Write-through
Write-behind
Near Cache
Read-through
source: Hazelcast
Write-through
source: Hazelcast
Write-behind
source: Hazelcast
Near Cache
source: Hazelcast
com.hazelcast
hazelcast
5.1
Shaded
Embedded
HazelcastInstance hazelcastInstance = Hazelcast.newHazelcastInstance();
Client-Server
HazelcastInstance hazelcastInstance = HazelcastClient.newHazelcastClient();
// import com.hazelcast.map.IMap;
HazelcastInstance hazelcastInstance = Hazelcast.newHazelcastInstance();
IMap<String, Integer> simpleMap = hazelcastInstance.getMap("simpleMap");
simpleMap.put("foo", 42);
simpleMap.get("foo"); // 42
// import java.util.Map;
HazelcastInstance hazelcastInstance = Hazelcast.newHazelcastInstance();
Map<String, Integer> simpleMap = hazelcastInstance.getMap("simpleMap");
simpleMap.put("foo", 42);
simpleMap.get("foo"); // 42
source: Hazelcast
Map is just the beginning
MultiMap
ReplicatedMap (non-partitioned Map)
Set
List
Queue
Topic
Data Structures is just the beginning
EntryProcessor
Instead of fetching the data, processing it and sending it back, let a cluster process it.
A processed entry remains locked during processing
@BinaryInterface
@FunctionalInterface
public interface EntryProcessor<K, V, R> extends Serializable {
R process(Entry<K, V> entry);
}
ExecutorService
public interface IExecutorService
extends ExecutorService, DistributedObject {
void execute(Runnable command, MemberSelector memberSelector);
void executeOnAllMembers(Runnable command);
// ...
}
Aggregation
IMap<String, Employee> employees = hz.getMap("employees");
double avgSalary = employees.aggregate(
new Aggregator<Map.Entry<String, Employee>, Double>() {
protected long sum;
protected long count;
@Override
public void accumulate(Map.Entry<String, Employee> entry) {
count++;
sum += entry.getValue().getSalaryPerMonth();
}
// ...
});
Queries
IMap<String, Employee> map = hazelcastInstance.getMap("employee");
Set<Employee> employees = map.values(new SqlPredicate("active AND age < 30"));
SQL
GA in 5.0
try (SqlResult result = hazelcastInstance.getSql()
.execute("SELECT name FROM emp WHERE age < ?", 30)) {
for (SqlRow row : result) {
String name = row.getObject(0);
System.out.println(name);
}
}
+ a JDBC driver
https://hazelcast.com/blog/jdbc-driver-4-2-is-released/
CAP Theorem
Consistency
Availability
Partition Tolerance
Pick two
...but always make sure P is one of them
source: Hazelcast
CP Subsystem
source: Hazelcast
Linearizable, distributed implementations of Java concurrency primitives
Raft-based(http://thesecretlivesofdata.com/raft/)
Jepsen-verified
Requires minimum 3 members
Semaphore
CountDownLatch
AtomicReference
AtomicLong
RingBuffer
A fixed-capacity data structure that overwrites oldest elements when capacity is exceeded
HyperLogLog
A probabilistic data structure used to estimate the cardinality(number of unique elements) of a data set.
The HyperLogLog algorithm can estimate cardinalities well beyond 10^9 with a relative accuracy
(standard error) of 2% while only using 1.5kb of memory.
Fangjin Yang Fast, Cheap, and 98% Right: Cardinality Estimation for Big Data
Flake Id Generator
Cluster-wide ordered and unique identifiers IDs without any coordination between members
safe even in split-brain scenario
CRDT PN Counter
A conflict-free alternative to AtomicLong
Apache Shiro
Apache Shiro is a security framework that performs authentication, authorization, cryptography, and session
management.
Shiro uses Hazelcast for caching and session clustering.
Cloud Integrations
Zone-awareness + autodiscovery
AWS
GCP
Azure
Enterprise Features
Management Center
Security Suite
Disaster Recovery
WAN Replication
Rolling Upgrades
HD Memory
Disaster Recovery
source: Hazelcast
WAN Replication
source: Hazelcast
HD Memory(off-heap store)
Hot Restart Store (persistence)
Hazelcast Jet
private static Pipeline buildPipeline() {
Pipeline p = Pipeline.create();
p.readFrom(TestSources.itemStream(100, (ts, seq) -> nextRandomNumber()))
.withIngestionTimestamps()
.window(WindowDefinition.tumbling(1000))
.aggregate(AggregateOperations.topN(TOP, ComparatorEx.comparingLong(l -> l)))
.map(WindowResult::result)
.writeTo(Sinks.observable(RESULTS));
return p;
}


Home
vc6
Mp3Player
w3schools
MORE*
github*
github_xd
github_cchess
beautifullover.org
people.highline.edu
w3schools.com
CodeMirror
google
cbcpubliclibrary.net/
colors
Mp3Player
w3schools


Guessing Game
Guess a number between one and a hundred
go!
-
-
-
-
-
reset
hint
Project by Andrew Atkinson


This keyboard was developed by Rehmat Aziz Chitrali Linguist and Researcher at Khowar Academy Chitral Khyber Pakhtunkhwa, Pakistan for keyboarding the Burushaski language in the Arabic Script. You can use this keyboard with any extended Arabic script Unicode font.
RAChitrali-Burushaski Keyman Keyboard is distributed under The MIT License (MIT).


This transition indicates that a Vendor approves a pending fulfillment request and activates a pending subscription. Therefore, the system activates this pending subscription and assigns the Active status to it.
A subscription with the Processing status.
A subscription with the Active status.


To develop topologies, you’ll need the Storm jars on your classpath. You should either include the unpacked jars in the classpath for your project or use Maven to include Storm as a development dependency. Storm is hosted on Clojars (a Maven repository). To include Storm in your project as a development dependency, add the following to your pom.xml:
```xml
```
```xml
```
Here’s an example of a pom.xml for a Storm project.
If Maven isn’t your thing, check out leiningen. Leiningen is a build tool for Clojure, but it can be used for pure Java projects as well. Leiningen makes builds and dependency management using Maven dead-simple. Here’s an example project.clj for a pure-Java Storm project:
clojure
(defproject storm-starter "0.0.1-SNAPSHOT"
:java-source-path "src/jvm"
:javac-options {:debug "true" :fork "true"}
:jvm-opts ["-Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib"]
:dependencies []
:dev-dependencies [
[storm "0.7.2"]
])
You can fetch dependencies using lein deps
, build the project with lein compile
, and make a jar suitable for submitting to a cluster with lein uberjar
.
Using Storm as a library
If you want to use Storm as a library (e.g., use the Distributed RPC client) and have the Storm dependency jars be distributed with your application, there’s a separate Maven dependency called “storm/storm-lib”. The only difference between this dependency and the usual “storm/storm” is that storm-lib does not have any logging configured.
Developing Storm
You will want to
bash ./bin/install_zmq.sh # install the jzmq dependency
lein sub install
Build javadocs with
bash ./bin/javadoc.sh
Building a Storm Release
Use the file bin/build_release.sh
to make a zipfile like the ones you would download (and like what the bin files require in order to run daemons).


Solution Designs & Implementations
Adobe Analytics / Mobile SDK
Adobe Implementation certified since Feb. 2014
| Product | Platforms |
|---|---|
| MLB.com | |
| MLB At Bat | |
| MLB.tv | |
| MLB Ballpark | |
| MLB Clubhouse | |
| NHL.com | |
| NHL Gamecenter | |
| NHL.tv | |
| NHL Arena | |
| HBONow.com | |
| HBONow |
"Go Lean!"
My approach to implementation on any platform:
- Ship with good data capture first, add those 30+ variables later
- Tag management is beautiful. Use it.
- Learn to talk like a Dev, they will appreciate it
- Good specs live in tables, not wordy paragraphs
Other Tool Experience
| Tool | Platforms |
|---|---|
| Adobe Target |
|
| Google Analytics |
x 3 |
| Google Tag Manager |
x 3 |
| Localytics |
|
| Bluekai |
|
Data Analysis
With hundreds of dashboards, analyses, and presentations to my name, using data is just another day in the office for me.
Excel and Powerpoint are my go-to's but writing a little SQL or Python (while they may require some googling) doesn't phase me.


This week I started teaching a graduate class called “Foundations of Data Science” that will be mostly based on an eponymous book by Avrim Blum, John Hopcroft and Ravi Kannan. The book is still a draft and I am using this version. Target audience includes advanced undergraduate and graduate level students. We had some success using this book as a core material for an undergraduate class at Penn this Spring (link to the news article). The draft has been around for a while and in fact I ran a reading group that used it four years back when I was in grad school and the book was called “Computer Science Theory for the Information Age”.
“Data Science” is one of those buzzwords that can mean very different things to different people. In particular, a new graduate Masters program in Data Science here at IU attracts hundreds of students from diverse backgrounds. What I personally really like about the Blum-Hopcroft-Kannan book is that it doesn’t go into any philosophy about the meaning of data science but rather offers a collection of mathematical tools and topics that can be considered as foundational for data science as seen from computer science perspective. It should be noted that just as any “Foundations of Computing” class has little to do with finding bugs in your code so do this class and book have little to do with data cleaning and other data analysis routine.
Topics
While the jury is still out on what topics should be considered as fundamental for data science I think that the Blum-Hopcroft-Kannan book makes a good first step in this direction.
Let’s look at the table of contents:
- Chapter 2 introduces basic properties of the high-dimensional space, focusing on concentration of measure, properties of high-dimensional Gaussians and basic dimension reduction.
- Chapter 3 covers the Singular Value Decomposition (SVD) and its applications (principal component analysis, clustering mixture of Gaussians, etc.).
- Chapter 4 focuses on random graphs (primarily in the Erdos-Renyi model).
- Chapter 5 introduces random walks and Markov chains, including Markov Chain Monte Carlo methods, random works on graphs and applications such as Page Rank.
- Chapter 6 covers the very basics of machine learning theory, including learning basic function classes, perceptron algorithm, regularization, kernelization, support vector machines, VC-dimension bounds, boosting, stochastic gradient descent and a bunch of other topics.
- Chapter 7 describes a couple of streaming and sampling methods for big data: frequency moments in streaming and matrix sampling.
- Chapter 8 is about clustering methods: k-means, k-center, spectral clustring, cut-based clustering, etc.
- Chapters 9 through 11 cover a very diverse set of topics that includes hidden Markov processes, graphical models, belief propagation, topic models, voting systems, compressed sensing, optimization methods and wavelets among others.
Discussion
Overall this looks like a good stab at the subject and a big advantage of this book is that unlike some of its competitors it treats its topics with mathematical rigor. The only chapter that I personally don’t really see fit into a “data science” class is Chapter 4. Because of its focus on the Erdos-Renyi model that I haven’t seen being used realistically for graph modeling applications this chapter seems to be mostly of purely mathematical interest.
Selection of some of the smaller topics is a matter of personal taste, especially when it comes to those that are missing. A couple of quick suggestions is to cover new sketching algorithms for high-dimensional linear regression, locality-sensitive hashing and possibly Sparse FFT.
Slides will be posted here and I will write a report on the final selection of topics and my experience in the end of semester. Stay tuned :)


TeeChart for JavaScript
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When the option predefinedOutput has been set to true and the next element after the pre tag has data-output set to true, the html content of the next element will be rendered as a preview before execution.
A cell with the text 'Hello!' set as predefined output.
print("Hello!")
A cell with an image set as predefined output.
%matplotlib inline import numpy as np import matplotlib.pyplot as plt x = np.linspace(0,10) plt.plot(x, np.sin(x)) plt.plot(x, np.cos(x))


SECRETS & LIES A film review by Chad Polenz Copyright 1997 Chad Polenz
Chad'z rating: ***1/2 (out of 4 = very good) 1996, R, 142 minutes [2 hours, 22 minutes] [drama] starring: Brenda Blethyn (Cythia), Marianne Jean-Baptiste (Hortense), Claire Rushbrook (Roxanne), Timothy Spall (Maurice), produced by Simon Channing-Williams, written and directed by Mike Leigh.
Films about families tend to be overly dramatic because very bad or very good things are always happening to the characters. "Secrets & Lies" is an exceptional drama about a shaky family who is suddenly thrown an even stranger problem than they are used to. Surprisingly enough, this is not a sappy story of tragedy, it is an exercise in characterization as it shows realistic people dealing with problems you never see in the movies.
The basic story is of a black woman named Hortense (Jean-Baptiste) and her search for her natural mother who turns out to be white. But the film is not just about Hortense's search, it is really about her mother Cythia (Blethyn) and her already rocky relationship with her family.
Cythia is a middle-aged factory worker in London who shares a small flat with her daughter Roxanne (Rushbrook). The two really do seem like mother and daughter as they constantly fight with each other, but always seem to work things out. We learn a lot about their characters from their conversations and arguments. They so much more believable than other film characters because they're not talking about those pesky aliens or natural disasters.
We also meet Cythia's brother Maurice (Spall) who is a professional photographer, and Leigh goes out of his way to establish this character and his importance. There are some humorous scenes involving Maurice at work, and they are interesting to watch simply for the dialogue. Maybe the film spends a little too much time on Maurice's job and his relationship with his wife and sister, but at least it done for the sake of characterization and not melodrama.
Not much of a plot begins to develop until the second half of the film, but at no point does the story become uninteresting - time just seems to fly by. Hortense tracks down Cythia and gives her a call, but of course neither are able to deal with it. The two meet in person and a real sense of tension and uneasiness can be felt. Even though we might not be able to relate to these characters personally, the atmosphere has been so well defined you know what the characters are thinking.
It is obvious the story is leading up to a boiling point, and this of course happens in the final act. Cythia and Hortense become the best of friends but the other family members suspect something funny is going on. Maurice throws a small party for Roxanne's 21st birthday and Cythia brings along Hortense, saying she is her friend from the factory. The scene in which Cythia finally tells the family the truth is one of the most tense moments I've ever endured. It's not so much about race relations as it family relations, but the race issue can't be ignored. I can't help but wonder if the family's reaction would have been different if Hortense was white?
"Secrets & Lies" is a good film that presents a situation unlike anything I've ever seen. It shows just how important the family is and how petty some of our differences can be.
Please visit Chad'z Movie Page @ http://members.aol.com/ChadPolenz E-mail<EMAIL_ADDRESS>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


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Top 10 Mobiles Above 25,000 - October 2016
1. Google Pixel/Pixel XL
Display
CPU
GPU
5/5.5 inches
Snapdragon 821
Adreno 530
Resolution
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4 GB
Android 7.1
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Front Camera
Rear Camera
32/128 GB
8 MP
12.3 MP
Sim
Battery
Price
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2770/3450 mAh
Rs 57,000/67,000
(XL 32 GB)
(XL 128 GB)
(Pixel 32 GB)
(Pixel 128 GB)
2. Samsung Galaxy S7/S7 Edge
Display
CPU
GPU
5.1/5.5 inches
Exynos 8890
Mali T880MP12
Resolution
RAM
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1440x2560 pixels
4 GB
Android 6.0
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Front Camera
Rear Camera
32GB (Expandable)
5 MP
12 MP
Sim
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Price
Dual Sim (Hybrid)
3000/3600 mAh
Rs 43,000/51,000
(S7)
(S7)
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3. Apple iPhone 7/7 Plus
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CPU
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5.5/4.7 inches
Apple A10 Fusion
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Resolution
RAM
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1080x1920/750x1334 pixels
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iOS 10
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32/128 GB
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12 MP
Sim
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Price
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2900/1960 mAh
Rs 72,000/60,000
(7)
(7)
(7 Plus)
(7 Plus)
4. Oneplus 3
Display
CPU
GPU
5.5 inches
Snapdragon 820
Adreno 530
Resolution
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1080x1920 pixels
6 GB
Android 6.0
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64 GB
8 MP
16 MP
Sim
Battery
Price
Dual Sim
3000 mAh
Rs 28,000
5. LG G5
Display
CPU
GPU
5.3 inches
Snapdragon 820
Adreno 530
Resolution
RAM
OS
1440x2560 pixels
4 GB
Android 6.0
Storage
Front Camera
Rear Camera
32GB (Expandable)
8 MP
16 MP
Sim
Battery
Price
Dual Sim (Hybrid)
2800 mAh
Rs 37,000
6. HTC 10
Display
CPU
GPU
5.2 inches
Snapdragon 820
Adreno 530
Resolution
RAM
OS
1440x2560 pixels
4 GB
Android 6.0
Storage
Front Camera
Rear Camera
32GB (Expandable)
5 MP
12 MP
Sim
Battery
Price
Single Sim
3000 mAh
Rs 43,000
7. Huawei Nexus 6P
Display
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GPU
5.7 inches
Snapdragon 810
Adreno 430
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1440x2560 pixels
3 GB
Android 6.0
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Rear Camera
32GB
8 MP
12.3 MP
Sim
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Price
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3450 mAh
Rs 40,000
8. Sony Xperia XZ
Display
CPU
GPU
5.2 inches
Snapdragon 820
Adreno 530
Resolution
RAM
OS
1080x1920 pixels
3 GB
Android 6.0
Storage
Front Camera
Rear Camera
64GB (Expandable)
13 MP
23 MP
Sim
Battery
Price
Dual Sim (Hybrid)
2900 mAh
Rs 50,000
9. Xiaomi Mi 5
Display
CPU
GPU
5.15 inches
Snapdragon 820
Adreno 530
Resolution
RAM
OS
1440x2560 pixels
3 GB
Android 6.0
Storage
Front Camera
Rear Camera
32GB
4 MP
16 MP
Sim
Battery
Price
Dual Sim
3000 mAh
Rs 23,000
10. Huawei P9
Display
CPU
GPU
5.2 inches
Kirin 955
Mali T880MP4
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RAM
OS
1080x1920 pixels
3 GB
Android 6.0
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Rear Camera
32 GB (Expandable)
8 MP
12 MP
Sim
Battery
Price
Single Sim
3000 mAh
Rs 40,000
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Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users
Typically 450-400 words, an e-book is perfect for your target audience ranging from prospective customers to users


Struggling for Competence
I've been developing software professionally for about 10 years.
I find software development quite difficult, in fact a struggle. My ignorance is exposed daily, there are not enough tests, the design is....suboptimal, and there's that thing when it's just much more difficult than it should be. I do want to get better though; improve my competence.
I believe that Software Engineering involves cutting code. In his essay What is Software Design?, Jack Reeves develops the idea that writing code is a design activity. The premise is that the source code provides the ultimate specification of the system. The compiler takes this specification and from it creates the product; the executable. The Source Code is the Design. A controversial view - perhaps.
Software clearly has a quality problem. Everybody has experience of tools which don't install correctly, and tools which don't work correctly. Hey, if you develop software I bet you've created tools like this too - I have. For me Test Driven Development (TDD) is "The Way" - the solution to this quality problem. I want all the code I write to be under automated test. This is currently only a goal though, not a reality. Understanding how to best deal with external interfaces, in particular the database and UI, represents an ongoing learning process.
All of the technologies and tools I now use, I have learnt in the past 4 years. All the framework and tooling knowledge I have from before this period is completely irrelevant. Clearly in software development you must make a commitment to learning throughout your career. Currently I work on the Microsoft stack, building web based applications. To do the job properly, you need to have capability across the whole stack; productivity occurs when you know something well. One of my current aims to deepen my knowledge of this technology, so I choose, for now at least, to focus on: Windows, IIS, SQL Server, C#, ASP.NET, JavaScript and jQuery.
My aims here are modest. I am not aiming to be a great programmer, just a competent developer.


procedure Line(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineS(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineT(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineTS(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineA(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineAS(X1, Y1, X2, Y2: Integer; Value: TColor32; L: Boolean = False);
procedure LineX(X1, Y1, X2, Y2: TFixed; Value: TColor32; L: Boolean = False);
procedure LineXS(X1, Y1, X2, Y2: TFixed; Value: TColor32; L: Boolean = False);
procedure LineF(X1, Y1, X2, Y2: Single; Value: TColor32; L: Boolean = False);
procedure LineFS(X1, Y1, X2, Y2: Single; Value: TColor32; L: Boolean = False);
procedure LineXP(X1, Y1, X2, Y2: TFixed; L: Boolean = False);
procedure LineXSP(X1, Y1, X2, Y2: TFixed; L: Boolean = False);
procedure LineFP(X1, Y1, X2, Y2: Single; L: Boolean = False);
procedure LineFSP(X1, Y1, X2, Y2: Single; L: Boolean = False);
Draws a line from (X1,Y1) to (X2,Y2).
The last parameter (L) determines whether the last point (X2,Y2) is to be drawn. It's often useful not to draw this point, especially when drawing sequences of semi-transparent and/or antialiased lines. By default the last point is not drawn.
For an explanation of the differences between each of these methods (specifically what the postfixes S, A, X, F and P mean), then see Naming Conventions.


Where Champions Are Made
Kickboxing
Jiu-Jitsu
Boxing
Tiger Strike Training Center based in Lynnwood, WA founded by Sensei Mochi. We specialize in teaching our students to respect the art of Mixed Martial Arts by preserving a self-defense first and only attitude with an emphasis on Striking.
1111 15th Ave NW
Lynnwood, WA 98036
United States
Email<EMAIL_ADDRESS>Tel:<PHONE_NUMBER>


Hi
My name is Mofe Makinwa. I am a photographer & writer.
I am an art enthusiast with great love for music & I live in Lagos, Nigeria.
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vsco


Welcome to Spark! This demo is here to help you get up and running quickly.
Customize these pages to start!
src/layout/layout.html.twig src/pages/index.html.twig


Will You Have a Series of Unfortunate Events?
Tell us about your parents
check all that apply
Are your parents wealthy?
Your parents are still alive
Do you know where your parents do their banking?
If your parents have died, do you know how?
Tell us about your siblings
check all that apply
Are there more than 8 children in your family?
Are you the oldest?
You are very smart but can't speak yet
It's true that your siblings are very important to you
Is your future going to be unfortunate?
Try Again!


| Package | com.whirled.game |
| Class | public class GameControl |
| Inheritance | GameControl AbstractControl flash.events.EventDispatcher |
| Subclasses | LoopbackGameControl |
public class MyGame extends Sprite { public var ctrl :GameControl; // Constructor public function MyGame () { ctrl = new GameControl(this); ...
| Property | Defined by | ||
|---|---|---|---|
| game : GameSubControl
[read-only]
Access the 'game' services.
| GameControl | ||
| local : LocalSubControl
[read-only]
Access the 'local' services.
| GameControl | ||
| net : NetSubControl
[read-only]
Access the 'net' services.
| GameControl | ||
| player : PlayerSubControl
[read-only]
Access the 'player' services.
| GameControl | ||
| services : ServicesSubControl
[read-only]
Access the 'services' services.
| GameControl |
| Method | Defined by | ||
|---|---|---|---|
|
GameControl(disp:DisplayObject, autoReady:Boolean = true)
Creates a GameControl that connects to the Whirled game system.
| GameControl | ||
|
addEventListener(type:String, listener:Function, useCapture:Boolean = false, priority:int = 0, useWeakReference:Boolean = false):void
Registers an event listener.
| AbstractControl | ||
|
doBatch(fn:Function, ... args):void
Execute the specified function as a batch of commands that will be sent to the server
together.
| AbstractControl | ||
|
isConnected():Boolean
Are we connected and running inside the whirled environment, or has someone just
loaded up our SWF by itself?
| GameControl | ||
|
removeEventListener(type:String, listener:Function, useCapture:Boolean = false):void
Unregisters an event listener.
| AbstractControl |
| Constant | Defined by | ||
|---|---|---|---|
| AVATAR_SHOP : String = "avatars" [static]
| GameControl | ||
| BACKDROP_SHOP : String = "backdrops" [static]
| GameControl | ||
| FURNITURE_SHOP : String = "furniture" [static]
| GameControl | ||
| ITEM_PACK_SHOP : String = "item_packs" [static]
| GameControl | ||
| LEVEL_PACK_SHOP : String = "level_packs" [static]
| GameControl | ||
| PET_SHOP : String = "pets" [static]
| GameControl | ||
| TOY_SHOP : String = "toys" [static]
| GameControl |
| game | property |
game:GameSubControl
[read-only]Access the 'game' services.
Implementation public function get game():GameSubControl
| local | property |
local:LocalSubControl
[read-only]Access the 'local' services.
Implementation public function get local():LocalSubControl
| net | property |
net:NetSubControl
[read-only]Access the 'net' services.
Implementation public function get net():NetSubControl
| player | property |
player:PlayerSubControl
[read-only]Access the 'player' services.
Implementation public function get player():PlayerSubControl
| services | property |
services:ServicesSubControl
[read-only]Access the 'services' services.
Implementation public function get services():ServicesSubControl
| GameControl | () | constructor |
public function GameControl(disp:DisplayObject, autoReady:Boolean = true)
Creates a GameControl that connects to the Whirled game system.
Parametersdisp:DisplayObject — the display object that is the game's UI.
|
|
autoReady:Boolean (default = true ) — if true, the game will automatically be started when initialization is
complete, if false, the game will not start until all clients call playerReady().
|
See also
| isConnected | () | method |
public override function isConnected():Boolean
Are we connected and running inside the whirled environment, or has someone just loaded up our SWF by itself?
ReturnsBoolean |
| AVATAR_SHOP | constant |
public static const AVATAR_SHOP:String = "avatars"
| BACKDROP_SHOP | constant |
public static const BACKDROP_SHOP:String = "backdrops"
| FURNITURE_SHOP | constant |
public static const FURNITURE_SHOP:String = "furniture"
| ITEM_PACK_SHOP | constant |
public static const ITEM_PACK_SHOP:String = "item_packs"
| LEVEL_PACK_SHOP | constant |
public static const LEVEL_PACK_SHOP:String = "level_packs"
| PET_SHOP | constant |
public static const PET_SHOP:String = "pets"
| TOY_SHOP | constant |
public static const TOY_SHOP:String = "toys"


Gamepad API tester
Visual mode
Raw mode
Your browser does not seem to support Gamepad API, or it might be we’re not detecting it very well. Sorry!
No gamepads seem to be connected. Be sure to plug in a gamepad and then press any of its buttons to activate it.
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You may know us as Southeast Asia’s first blockchain venture builder. But what you may not know is that the latest cryptocurrency exchange to add our $RFOX coin — Zaddex — is a product of our business model. Yes, our friends, we successfully launched a blockchain venture! And we’ve got some details on how the exchange fits into the overall RedFOX ecosystem.


RecurringGiftSchedule Complex Type |
ROA = Required on Add, ROU = Required on Update, Click Column Header to Sort Column |
| Name | Type | ROA | ROU | Read Only | Basic Comments | Special Comments |
| type | int | Yes | Set to 8 when journal entry is retrieved from eTapestry | |||
| accountRef | string | Yes | Yes | Must be a donor role account | ||
| accountName | string | Yes | ||||
| ref | string | Yes | Yes | |||
| final | boolean | SC1 | ||||
| date | date | Yes | ||||
| amount | double | Yes | Yes | Must be greater than zero | ||
| nonDeductibleAmount | double | Must be greater than or equal to zero and less than or equal to the amount | ||||
| fund | string | Yes | Yes | SC2 | ||
| campaign | string | SC3 | ||||
| approach | string | SC4 | ||||
| letter | string | SC5 | ||||
| receipt | string | |||||
| note | string | |||||
| schedule | StandardPaymentSchedule | Yes | Yes | SC6 | ||
| scheduledValuable | Valuable | SC7 | ||||
| definedValues | DefinedValue array | |||||
| softCredit | SoftCredit | SC8 | ||||
| tributeAccountRef | string | SC9 | ||||
| tributeAccountName | string | Yes | ||||
| recognitionName | string | SC10 | ||||
| recognitionType | int | 0 = User Donor Name 1 = Don't Recognize 2 = Anonymous 3 = Use Transaction Recognition Name |
||||
| originalAccountRef | string | Yes | SC11 | |||
| originalAccountName | string | Yes | SC11 | |||
| originalTransactionRef | string | Yes | SC11 | |||
| attachments | Attachment array | Yes | SC12 |


{% extends "base_analyze.html" %} {% set active_page = 't' %} {% block head %} {% endblock %} {% block title %}tokenizer{% endblock %} {% block options %}
This tool is still under development. Non-functional options have been disabled. The buttons above the search field will copy and download only the portions of the DTM currently in the DOM.


A Water Hazard Runs Through It
The Legend Of Bagger Vance
A film review by Michael Redman Copyright 2000 by Michael Redman
** (out of ****)
At times we all would like a mysterious stranger to emerge from the mists and impart sage wisdom that sets our life back on the path. And wouldn't it be great if that guy had the coolness of Will Smith?
Rannulph Junuh (Matt Damon shot through the "Look Like Robert Redford" camera filter) has just such a stroke of luck. The promising suthuun golf pro turned shell-shocked ex-GI is enticed to play in a big-time tournament, but soon discovers that his game don't mean a thing if it ain't got that swing. Then raggedy man Bagger Vance (Smith) steps out of the night to put his driver one with the universe.
The film has the feel of director Redford's recent efforts: "The Horse Whisperer" and "A River Runs Through It". Mysticism mixed with a rough manliness and topped with feel-good ending.
Cinematographer Michael Ballhaus's work is so beautiful that it's tempting to ignore the movie's faults as he turns the game of golf into visual feast. Tempting, but not impossible. Sports as a metaphor for life has to tread a fine line between inspiration and corn. There's no tightrope walking here. Redford topples into cartoonsville.
The Savannah town council is so goofy it could have been pulled from "The Music Man".  Not too bad a briar patch and it's difficult to have much sympathy.
We never come to know much about any of these genteel folk. Vance himself is the only character that works and that's because he isn't supposed to be a normal human being. A black Zen Master in the Depression-era deep South: this is not an ordinary traveler.
(You can hear the casting discussion between Redford and Smith: "I'm supposed to do _what_?" "Well, you gots to shuffle like Steppin Fetchit, but the upside is that you can almost walk on water.")
It's a pretty pretty film and worth a viewing just for that and Smith's performance, but come on Bob, give us a story with people next time, huh?
(Michael Redman has written this column for a quarter century and for him, golf is a game of looking for white Easter eggs in the woods. Pros can send tips to<EMAIL_ADDRESS>[This appeared in the 11/9/2000 "Bloomington Independent", Bloomington, Indiana. Michael Redman can be contacted at<EMAIL_ADDRESS>--<EMAIL_ADDRESS>Film reviews archive: http://us.imdb.com/M/reviews_by?Michael%20Redman
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


Thoughts on iPhone 2.0
I’ve been thinking about whether it will be worth it to pick up an iPhone 2.0 on July 11th. I’ve had the original iPhone for a while now (I picked it up when they discontinued the 4GB version) and I have mixed feelings about it. iPhone 1.0 is certainly the best PDA type phone I’ve ever used. Everything is very well designed, the battery life is good, sound quality is at least as good as other phones I’ve had, the web browser is fantastic (unless you need to view Flash content), and it’s a great iPod.
So why am I not already getting in line for 2.0? Well, the first thing is that the 2.0 software will run on the 1.0 hardware. So any bug fixes, new core application updates (e.g. scientific calculator), and other improvements will work just fine on my original phone. The only real hardware features that matter for version 2.0 of the hardware are 3G network chip and the A-GPS hardware.
2G is certainly not setting any speed records – but for the most part, it gets the job done fine for me. I use the web more on the iPhone than I have on any other phone, but it’s still nothing at all compared to my web use on a real PC – so 3G would be nice, but it’s nothing I can’t live without. The main issue with the 3G support is that my phone bill will go up by $10 per month for 2 years – so $240 total increase on top of buying the $200/$300 iPhone 2.0. It’s not a horrible price increase, but in my particular situation, it’s harder to justify the benefit outweighing the cost there.
The A-GPS is a bit more appealing though. I have a handheld GPS unit from Garmin, but it’s meant for hiking/geocaching type activities and not for navigation. I do like the idea of buying a cheap dash mount and then my iPhone could be a very decent auto navigation system that moves around to different cars easily. Of course, this all depends on what GPS software is released for the phone, but I’m sure we’ll see great things in this area. The other thing is that we really haven’t had a small GPS device that had an always on broadband-link internet link – that could allow for all kinds of interesting situations that make the GPS ability of the iPhone unlike anything we’ve seen (for better or for worse).
At this point, my feeling is that I’m going to hold off for a bit and see what applications come out that make use of iPhone 2.0 hardware features. If they are compelling enough, then I may make the jump, but I’m starting to get to that point where I need to see real world benefits from new gadgets instead of just the conceptual greatness of them… Even on July 11th, the really amazing applications for iPhone may not even be ready because of the way Apple has chosen to limit the developer program – from the latest Apple keynote, it sounds like some developers (and some SDK functionality) won’t even be ready until September anyway. We’ll see how things play out, but for now, I think I’ll be keeping my $440.


One of the most challenging aspects of building a compelling user experience is crafting complex multi-part workflows. Horizon’s workflows module aims to bring that capability within everyday reach.
See also
For usage information, tips & tricks and more examples check out the Workflows Topic Guide.
A Workflow is a collection of Steps. Its interface is very straightforward, but it is responsible for handling some very important tasks such as:
The Workflow class has the following attributes:
The verbose name for this workflow which will be displayed to the user. Defaults to the class name.
The unique slug for this workflow. Required.
Read-only access to the final ordered set of step instances for this workflow.
A list of Step classes which serve as the starting point for this workflow’s ordered steps. Defaults to an empty list ([]).
The name which will appear on the submit button for the workflow’s form. Defaults to "Save".
A string which will be displayed to the user upon successful completion of the workflow. Defaults to "{{ workflow.name }} completed successfully."
A string which will be displayed to the user upon failure to complete the workflow. Defaults to "{{ workflow.name }} did not complete."
A roll-up list of all the depends_on values compiled from the workflow’s steps.
A roll-up list of all the contributes values compiled from the workflow’s steps.
Path to the template which should be used to render this workflow. In general the default common template should be used. Default: "horizon/common/_workflow.html".
The slug of the step which should initially be active when the workflow is rendered. This can be passed in upon initialization of the workflow, or set anytime after initialization but before calling either get_entry_point or render.
The name of a parameter used for tracking the URL to redirect to upon completion of the workflow. Defaults to "next".
The object (if any) which this workflow relates to. In the case of a workflow which creates a new resource the object would be the created resource after the relevant creation steps have been undertaken. In the case of a workflow which updates a resource it would be the resource being updated after it has been retrieved.
Whether to present the workflow as a wizard, with “prev” and “next” buttons and validation after every step.
If the workflow is presented in a modal, and this attribute is set to True, then the fullscreen css class will be added so the modal can take advantage of the available screen estate. Defaults to False.
Adds an error to the workflow’s Step with the specified slug based on API issues. This is useful when you wish for API errors to appear as errors on the form rather than using the messages framework.
Finalizes a workflow by running through all the actions in order and calling their handle methods. Returns True on full success, or False for a partial success, e.g. there were non-critical errors. (If it failed completely the function wouldn’t return.)
Hook to allow customization of the message returned to the user upon successful or unsuccessful completion of the workflow.
By default it simply inserts the workflow’s name into the message string.
Returns the canonical URL for this workflow.
This is used for the POST action attribute on the form element wrapping the workflow.
For convenience it defaults to the value of request.get_full_path() with any query string stripped off, e.g. the path at which the workflow was requested.
Returns the slug of the step which the workflow should begin on.
This method takes into account both already-available data and errors within the steps.
Returns the instantiated step matching the given slug.
Returns a URL to redirect the user to upon completion. By default it will attempt to parse a success_url attribute on the workflow, which can take the form of a reversible URL pattern name, or a standard HTTP URL.
Handles any final processing for this workflow. Should return a boolean value indicating success.
Verified that all required data is present in the context and calls the validate method to allow for finer-grained checks on the context data.
Renders the workflow.
Hook for custom context data validation. Should return a boolean value or raise WorkflowValidationError.
A step is a wrapper around an action which defines its context in a workflow. It knows about details such as:
A Step class has the following attributes:
A list of context data keys which this step requires in order to begin interaction.
A list of keys which this step will contribute to the workflow’s context data. Optional keys should still be listed, even if their values may be set to None.
A dictionary which maps context data key names to lists of callbacks. The callbacks may be functions, dotted python paths to functions which may be imported, or dotted strings beginning with "self" to indicate methods on the current Step instance.
Another Step class. This optional attribute is used to provide control over workflow ordering when steps are dynamically added to workflows. The workflow mechanism will attempt to place the current step before the step specified in the attribute.
Another Step class. This attribute has the same purpose as before() except that it will instead attempt to place the current step after the given step.
A string of simple help text which will be prepended to the Action class’ help text if desired.
A path to a template which will be used to render this step. In general the default common template should be used. Default: "horizon/common/_workflow_step.html".
A boolean value which indicates whether or not this step has any errors on the action within it or in the scope of the workflow. This attribute will only accurately reflect this status after validation has occurred.
Inherited from the Action class.
Inherited from the Action class.
Inherited from the Action class.
Adds an error to the Step based on API issues.
Adds the data listed in contributes to the workflow’s shared context. By default, the context is simply updated with all the data returned by the action.
Note that even if the value of one of the contributes keys is not present (e.g. optional) the key should still be added to the context with a value of None.
Returns the help text for this step.
Returns the ID for this step. Suitable for use in HTML markup.
Returns True if action contains any required fields.
Allows for customization of how the workflow context is passed to the action; this is the reverse of what “contribute” does to make the action outputs sane for the workflow. Changes to the context are not saved globally here. They are localized to the action.
Simply returns the unaltered context by default.
Renders the step.
An Action represents an atomic logical interaction you can have with the system. This is easier to understand with a conceptual example: in the context of a “launch instance” workflow, actions would include “naming the instance”, “selecting an image”, and ultimately “launching the instance”.
Because Actions are always interactive, they always provide form controls, and thus inherit from Django’s Form class. However, they have some additional intelligence added to them:
Action classes may define the following attributes in a Meta class within them:
The verbose name for this action. Defaults to the name of the class.
A semi-unique slug for this action. Defaults to the “slugified” name of the class.
A list of permission names which this action requires in order to be completed. Defaults to an empty list ([]).
A string of simple help text to be displayed alongside the Action’s fields.
A path to a template which contains more complex help text to be displayed alongside the Action’s fields. In conjunction with get_help_text() method you can customize your help text template to display practically anything.
Adds an error to the Action’s Step based on API issues.
Returns the help text for this step.
Handles any requisite processing for this action. The method should return either None or a dictionary of data to be passed to contribute().
Returns None by default, effectively making it a no-op.
A generic class-based view which handles the intricacies of workflow processing with minimal user configuration.
The template to use when rendering this view via standard HTTP requests. Required.
The template to use when rendering the workflow for AJAX requests. In general the default common template should be used. Defaults to "horizon/common/_workflow.html".
The key which should be used for the workflow object in the template context. Defaults to "workflow".
Handler for HTTP GET requests.
Returns the template context, including the workflow class.
This method should be overridden in subclasses to provide additional context data to the template.
Returns initial data for the workflow. Defaults to using the GET parameters to allow pre-seeding of the workflow context values.
returns classes for the workflow element in template based on the workflow characteristics
Returns the template name to use for this request.
Returns the instantiated workflow class.
Handler for HTTP POST requests.
Validates the workflow steps from start to end, inclusive.
Returns a dict describing the validation state of the workflow.


I have never had experiences with LSD or any other psychadelics. Morning Glory was my first. It all began when my friend and I were looking for new substances to try. I suggested morning glory seeds. We referred to the way that the seeds were used in the past by the Aztecs. 'Maybe we will meet the sun god' we joked. These seeds are no joking matter.
I waited in anticipation for the seeds I ordered in the mail to arrive. When they came I called up my buddy Zach and we both went to the park. We ate 200 seeds each, making sure to chew them very good and make them into a paste, at the park and waited for while. We weren't sure how long it would take for them to kick in so we just waited. After about 30 minutes we began to think that we got ripped off so I suggested we go home and eat more. We got to my house and I counted out 50 seeds more for each of us. This put us up to 250 each. We sat there watching movies for about a half hour and I still wasn't feeling anything so I took 50 more. I had now ingested 300 seeds. Something I would greatly regret.
I started to feel sick so we went outside. Nature seemed to be sanctuary from the pain that the seeds brought. Inside the house I felt trapped and anxious. It felt like nothing existed outside of my bedroom walls. The only thing that helped I realized was going outside. We went to the store and bought some food. We were feeling really good at this time. I felt like I was going to die but there was a good feeling at the same time. It felt like everything belonged just the way it was. After we ate, I began to feel horribly sick again so we went back to my house.
When we reached my house I went straight to the bathroom. It was apparent that Zach and I were having very different experiences. He was having very mild visuals and seemed to be having a pretty good buzz. I on the other hand felt horrible. I was in the bathroom for about 10 minutes trying to force myself to puke. I couldn't puke and I felt closed in and anxious in the bathroom. I began to flip out. In my head I could not stop thinking that I was going to die and I had to go to the hospital but part of me was still sane and knew that everything would be okay. Finally after almost going crazy, I left the bathroom.
In my room I sat down and started to feel good again. I felt like I could never be better. I didn't feel sick anymore and the visuals really started going. This was about 2.5 hours after we started. I said 'Man, this is really great. Maybe I would try this again.' Earlier I had said I would never do this again. In about 30 minutes I began to sweat and got anxious again. I thought I was going to die again. I kept thinking that maybe I was already in the hospital dying and this was just my mistake flashing before my eyes. We decided to leave again.
We went and sat near the river and just stared out onto the water. I felt good again. I felt like everything was perfect again. It was very serene. Everything had a warm glow around it. My friend Zach started to look like a hologram. This is when I started to hit the edge of reality. I looked at the water and it didn't look real anymore. It looked like a 3-D rendering created by a computer program. We started talking about how it felt like we were sitting in a lab with a giant screen around us and the image of the world was being projected on it. The thing is I felt really good the whole time. I felt like I was coming down.
We went back to my house again but I didn't come down. I started going crazy again. My stomach was hurting and I felt like I was going to die again. I kept drinking water because I thought I was going to get dehydrated. Due to the amount of water I was drinking, I had to urinate a lot. This caused a problem because I would start whigging out every time I went into the bathroom. The walls closed in and I was sure I would die. I kept thinking of going to the hospital but at the same time I felt that I would be fine and the smart thing to do would be to let everything run its course. At this time it was about 4 hours after we had started.
I couldn't sleep because every time I closed my eyes I saw strange visuals. Long trails of arrows kept flowing and spinning around before my eyes. Not only did I think I would die but I prayed that it would happen soon. Then another fear kicked in. I started to fear that maybe I would never come down and I would have to live with these feelings forever. Quickly going from feeling good to feeling sick and horrified without warning. I started to come up with solutions and think about how I would have to pretend like nothing was wrong to live in society.
Finally, I fell asleep. The next day I woke up feeling great. I was very happy that my experience had ended. After a few minutes of being awake I realized not all of the effects were over. My vision was still blurry. I couldn't hold myself up straight. After a few hours that stuff went away and I just felt strange. I felt like I knew more about the world and reality than I had when I started. It felt like the sun god had touched me with his knowledge. I still won't try MG again. This is serious stuff. It's not a joke.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Here at broCode our team of American Patriots, have developed the newest and greatest app in the parking Seattle.This app will help you find the cheapest possible parking based of your location and the price that fits your budget. Cause lets face it, booze isn't cheap. So let us help you save some duckets on parking so you can spend it on what really counts. Getting Drunk! AYYYYOOOOOO!
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