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SVN repository backup strategies I'm new to SVN and I'd like to know what methods are available for backing up repositories in a Windows environment? Process substitution and pipe I was wondering how to understand the following:     Piping the stdout of a command into the stdin of another is a powerful   technique. But, what if you need to pipe the stdout of multiple   commands? This is where process substitution comes in.   In other words, can process substitution  do whatever pipe can do?   What can process substitution do, but pipe cannot? In a perfect world, the so-important advice "do not reinvent the wheel" would be extensively followed. In practice, everyday millions of wheels are reinvented simply because someone didn't know an existing solution for a specific problem. The best way to find a library, today, is googling it, but it's not always obvious which keywords to use. The lack of a tool for finding solutions is very counterproductive for the dev world as a whole. Stack Overflow is not very receptive for recommendation threads. So what about a new SE for it? I was just thinking about this recently, and I thought of a possible bijection between the natural numbers and the real numbers.  First, take the numbers between zero and one, exclusive.  The following sequence of real numbers is suggested so that we have bijection.    0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.01, 0.02, ... , 0.09, 0.10, 0.11, ... , 0.99, 0.001, 0.002, ... , 0.999, 0.0001, etc.  Obviously, this includes repeats, but this set is countable.  Therefore, the set of all numbers between zero and one is a subset of the above countable set, and is thus countable.  Then we simply extend this to all real numbers and all the whole numbers themselves, and since the real numbers, as demonstrated above, between any two whole numbers is countable, the real numbers are the union of countably many countable sets, and thus the real numbers are countable.    Please help me with this.  I understand the diagonalization argument by Cantor, but I am curious specifically about this proof which I thought of and its strengths and flaws.  Thanks. Can't log in using Firefox in Stack Overflow Heterogeneous vs. inhomogeneous Do multiple instances of the Extra Attack feature stack? The WotC article  creates the &quot;Favored Soul&quot; sorcerous origin, which grants the the sorcerer the Extra Attack feature at level 6. Say I made Favored Soul sorcerer go up to level 6, and then multiclassed into Ranger to get its Extra Attack at level 5. Would the two Extra Attack features stack so that I could get 3 or 4 attacks in a turn? if $x_i$ are IID  continuous random variables, with $E[x_i]=μ$, is the following correct?   $E\left[\prod_{i=1}^n(1+⍺\space x_i)^i\right] = \prod_{i=1}^nE\left[(1+⍺\space x_i)^i\right] =  \prod_{i=1}^n(1+⍺\space E\left[x_i\right])^i = (1+⍺\space μ)^n$  thanks! Proving that the unities of a ring form a group under multiplication How can I multiply each item in an array easily with PHP? Can Recovery Mode install OS X onto a blank SSD? I want to install a new Solid State Drive (SSD) into the Mac. Can I just build in the SSD, start the MacBook in Recovery Mode and install OS X from there on?  After reading a lot on the internet I still have some doubts…  My HDD crashed, I can't repair it using disk utility or the fsck methods as mentioned on the internet.  According to  it should be possible.  I know how to replace the HDD with the SSD. I would go for the Samsung 850 EVO SSD - 500GB. My Mac is a MacBook Pro Mid 2012, model A1278. I have looked everywhere for lava or obsidian in 0.7.1. I've looked all the way from top to bottom and all around, in about a 100 block diameter, but I can't find any. Where can I get some? I need to prove that $\mathbb{R}\backslash\mathbb{Q} \sim \mathbb{R} $  Using Cantor-Bernstein, need to show an injection from $\mathbb{R}\backslash\mathbb{Q}$ to $\mathbb{R}$ and from $\mathbb{R}$ to $\mathbb{R}\backslash\mathbb{Q}$.    $\mathbb{R}\backslash\mathbb{Q}$ is a subset of $\mathbb{R}$ so only need to show injection from $\mathbb{R}$ to $\mathbb{R}\backslash\mathbb{Q}$ to complete the proof.    Possible injection: $f:\mathbb{R}\to \mathbb{R}\backslash\mathbb{Q}$ defined as $f(x) = \pi x$ if $x$ is not a multiple of $\pi$; otherwise $f(x) = \sqrt{2} x$.    Not sure if $f$ actually is an injection... LWC Get Pick-list Field Values Can anybody explain the necessity of the RC network shown in the figure. I found this in circuit for a logic power supply using Fly-Back converter? I've seen a contraction of two words.  I can't see why it wouldn't've been possible to have been contracted twice.  Is it possible and how should it be punctuated?  Update:  Ok, to sum up the answers so far   This appears in spoken British and American English It is from one of the lower  Even if spoken this way sometimes, it isn't really written as a double contraction, except as written speech in fiction. And from my own googling in , it appears most written forms are old British words, often nautical like fo'c'sle. Using 3rd party Python modules I'm currently developing a script for Blender to handle Mesh Frequency Decomposition.  The script is nearly complete, but i need one more thing: The SciPy library to compute eigenvalues and eigenvectors.  Following the installation instructions on , I'm able to install it as well as Numpy. Numpy works fine, but I can't even import SciPy:  Traceback (most recent call last): File "/CAF_FD.py", line 4, in &lt;module&gt; ImportError: No module named 'scipy' Error: Python script fail, look in the console for now...   By the way, I'm working on Linux 64 bit and I've installed SciPy and Numpy with my package manager.  Edit: When I try to use SciPy with a terminal prompt, it works. This is the code that's giving me trouble.   f = Frame(root, width=1000, bg="blue") f.pack(fill=X, expand=True)  l = Label(f, text="hi", width=10, bg="red", fg="white") l.pack()   If I comment out the lines with the Label, the Frame displays with the right width.  However, adding the Label seems to shrink the Frame down to the Label's size.  Is there a way to prevent that from happening? Python does not find packages installed without Anaconda I'm trying to install kivy for python 3 using apt-get:      sudo apt-get install python3-kivy   And it is installed in      /usr/lib/python3/dist-packages   But, when I tried to load it in python, I get a ModuleNotFoundError      Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 13 2017, 12:02:49)      [GCC 7.2.0] on linux     Type "help", "copyright", "credits" or "license" for more information.     &gt;&gt;&gt; import kivy     Traceback (most recent call last):       File "&lt;stdin&gt;", line 1, in &lt;module&gt;     ModuleNotFoundError: No module named 'kivy'   When I check the system path from python, I only get packages in Anaconda:      &gt;&gt;&gt; import sys     &gt;&gt;&gt; print('\n'.join(sys.path))      /home/santiago/anaconda3/lib/python36.zip     /home/santiago/anaconda3/lib/python3.6     /home/santiago/anaconda3/lib/python3.6/lib-dynload     /home/santiago/anaconda3/lib/python3.6/site-packages     /home/santiago/anaconda3/lib/python3.6/site-packages/torchvision-0.2.0-py3.6.egg   Is there any way to include the '/usr/lib/python3' path to Anaconda?  Thanks. $\sqrt x$ is uniformly continuous Prove that the function $\sqrt x$ is uniformly continuous on $\{x\in \mathbb{R} | x \ge 0\}$.  To show uniformly continuity I must show for a given $\epsilon &gt; 0$ there exists a $\delta&gt;0$ such that for all $x_1, x_2 \in \mathbb{R}$ we have $|x_1 - x_2| &lt; \delta$ implies that $|f(x_1) - f(x_2)|&lt; \epsilon.$  What I did was $\left|\sqrt x - \sqrt x_0\right| = \left|\frac{(\sqrt x - \sqrt x_0)(\sqrt x + \sqrt x_0)}{(\sqrt x + \sqrt x_0)}\right| = \left|\frac{x - x_0}{\sqrt x + \sqrt x_0}\right| &lt; \frac{\delta}{\sqrt x + \sqrt x_0}$   but I found some proof online that made $\delta = \epsilon^2$ where I don't understand how they got? So, in order for $\delta =\epsilon^2$ then $\sqrt x + \sqrt x_0$ must $\le$ $\epsilon$ then $\frac{\delta}{\sqrt x + \sqrt x_0} \le \frac{\delta}{\epsilon} = \epsilon$. But then why would $\epsilon \le \sqrt x + \sqrt x_0? $ Ah, I think I understand it now just by typing this out and from an earlier hint by Michael Hardy .