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How to extract a floating number from a string [duplicate]
I have a number of strings similar to Current Level: 13.4 db. and I would like to extract just the floating point number. I say floating and not decimal as it's sometimes whole. Can RegEx do this or is there a better way?
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Vagrant stuck connection timeout retrying
...g perfectly fine last night. I've just turned the PC on, hit vagrant up , and this is what I get:
47 Answers
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What is the difference between gravity and layout_gravity in Android?
I know we can set the following values to the android:gravity and android:layout_gravity properties:
20 Answers
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Where to use EJB 3.1 and CDI?
I am making a Java EE based product in which I'm using GlassFish 3 and EJB 3.1.
2 Answers
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Solving a “communications link failure” with JDBC and MySQL [duplicate]
... in different web sites, but non of them worked. Finally I changed my code and found out what was the problem. I'll try to tell you about different approaches and sum them up here.
While I was seeking the internet to find the solution for this error, I figured out that there are many solutions that...
How to use Regular Expressions (Regex) in Microsoft Excel both in-cell and loops
How can I use regular expressions in Excel and take advantage of Excel's powerful grid-like setup for data manipulation?
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C++11 introduced a standardized memory model. What does it mean? And how is it going to affect C++ p
C++11 introduced a standardized memory model, but what exactly does that mean? And how is it going to affect C++ programming?
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Can I browse other people's (Apple) bug reports? [closed]
...efore posting, but I can't see any way to do this. I can only see my bugs, and post new bugs, but I can't see any way to browse or search the whole bug system.
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How can I do a line break (line continuation) in Python?
...g line of code that I want to break up among multiple lines. What do I use and what is the syntax?
10 Answers
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What is the difference between linear regression and logistic regression?
...ut as probabilities but it's a mistake because the output can be negative, and greater than 1 whereas probability can not. As regression might actually
produce probabilities that could be less than 0, or even bigger than
1, logistic regression was introduced.
Source: http://gerardnico.com/wiki/dat...