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Stock ticker symbol lookup API [closed]
...ymbols, names, quotes, and all sorts of other data. Data is returned as a .CSV so you can request multiple symbols in one query.
So if you send:
http://finance.yahoo.com/d/quotes.csv?s=MSFT+F+ATT&f=sn
You'll get back something like:
"MSFT","Microsoft Corp"
"F","FORD MOTOR CO"
"ATT","AT&...
显示列表 · App Inventor 2 中文网
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将列表序列化为标签
使用列表转 csv 行
使用 while 循环
代码块如何工作
使用”从范围循环“
使用”从列表循环“
« 返回首页
我们经常会使用列表来存储数据。例如，以下列表存储电话...
AppInventor如何实现通过扫二维码导入表格数据 - App Inventor 2 拓展 - 清...
...上面条码组件的事件中获取。
3、访问远程url获取表格csv数据：
使用Web客户端组件访问url获取数据。数据格式建议采用csv（逗号分隔）格式。
4、解析数据并展示：
推荐使用TableView拓展展示csv表格数据。
Compress files while reading data from STDIN
...ad data as input and redirect the compressed to output file i.e.
cat test.csv | gzip > test.csv.gz
cat test.csv will send the data as stdout and using pipe-sign gzip will read that data as stdin. Make sure to redirect the gzip output to some file as compressed data will not be written to the t...
How to find where a method is defined at runtime?
...#crime>
If you're on Ruby 1.9+, you can use source_location
require 'csv'
p CSV.new('string').method(:flock)
# => #<Method: CSV#flock>
CSV.new('string').method(:flock).source_location
# => ["/path/to/ruby/1.9.2-p290/lib/ruby/1.9.1/forwardable.rb", 180]
Note that this won't work...
Java switch statement multiple cases
...ted Sep 15 '16 at 14:19
Pascal Tänzer
3777 bronze badges
answered Dec 29 '11 at 6:51
Santtu KähkönenSanttu ...
Find the min/max element of an Array in JavaScript
... Nov 18 '12 at 14:00
Linus UnnebäckLinus Unnebäck
14k99 gold badges5959 silver badges7575 bronze badges
...
How to develop a soft keyboard for Android? [closed]
...", "q", "r", "s", "t", "u", "v", "w",
"x", "y", "z", "ç", "à", "é", "è", "û", "î" };
private String cL[] = { "A", "B", "C", "D", "E", "F", "G", "H", "I", "J",
"K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W",
"X", "Y", "Z", "ç", "à", "é", "è", "û", "î" };
privat...
Principal component analysis in Python
..............................
if __name__ == "__main__":
import sys
csv = "iris4.csv" # wikipedia Iris_flower_data_set
# 5.1,3.5,1.4,0.2 # ,Iris-setosa ...
N = 1000
K = 20
fraction = .90
seed = 1
exec "\n".join( sys.argv[1:] ) # N= ...
np.random.seed(seed)
...
Warning message: In `…` : invalid factor level, NA generated
...
If you are reading directly from CSV file then do like this.
myDataFrame <- read.csv("path/to/file.csv", header = TRUE, stringsAsFactors = FALSE)
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