I am trying to grow my C: drive to use the unallocated space on Disk 0. Is it safe to throw away the Recovery Partition (i.e. make it unallocated)? And if so, is GParted an ok tool to do that with? And after I delete it, if I leave enough unallocated space after joining pertitions, is there a way to have it build a new recovery partition?
I am trying to grow my C: drive to use the unallocated space on Disk 0. Is it safe to throw away the Recovery Partition (i.e. make it unallocated)? And if so, is GParted an ok tool to do that with? Or do I need to move that, and if so, is the way to do that to reduce the size of the unallocated partition so there is empty space at the end, then move it there?
Why is the sample distribution the Exponential distribution Gamma distributed? How do I save terminal output to a file? How do I save the output of a command to a file?  Is there a way without using any software? I would like to know how. This is a continued discussion from () by return count only.     Problem      Given four lists A, B, C, D of integer values, compute how many tuples   (i, j, k, l) there are such that A[i] + B[j] + C[k] + D[l] is zero.      To make problem a bit easier, all A, B, C, D have same length of N   where \$0 \le N \le 500\$. All integers are in the range of \$-2^{28}\$ to \$2^{28} - 1\$   and the result is guaranteed to be at most \$2^{31} - 1\$.      Example:      Input:  A = [ 1, 2] B = [-2,-1] C = [-1, 2] D = [ 0, 2]       Output:  2       Explanation:      The two tuples are:         (0, 0, 0, 1) -> A[0] + B[0] + C[0] + D[1] = 1 + (-2) + (-1) + 2 = 0   (1, 1, 0, 0) -> A[1] + B[1] + C[0] + D[0] = 2 + (-1) + (-1) + 0 = 0      I'm wondering if there are any ideas to have a solution less than \$O(n^2)\$ time complexity.  Source code in Python 2.7,  from collections import defaultdict def four_sum(A, B, C, D):     sum_map = defaultdict(int)     result = 0     for i in A:         for j in B:             sum_map[i+j] += 1     for i in C:         for j in D:             if -(i+j) in sum_map:                 result += sum_map[-(i+j)]      return result  if __name__ == "__main__":     A = [1, 2]     B = [-2, -1]     C = [-1, 2]     D = [0, 2]     print four_sum(A,B,C,D) The first and (the) second chapter(s) are difficult - which is correct? Why is the de-facto standard sigmoid function, $\frac{1}{1+e^{-x}}$, so popular in (non-deep) neural-networks and logistic regression?   Why don't we use many of the other derivable functions, with faster computation time or slower decay (so vanishing gradient occurs less). Few examples are . One of my favorites with slow decay and fast calculation is $\frac{x}{1+|x|}$.  EDIT  The question is different to  as I'm only interested in the 'why' and only for the sigmoid. states:  Imports are always put at the top of the file, just after any module comments and docstrings, and before module globals and constants.  However if the class/method/function that I am importing is only used in rare cases, surely it is more efficient to do the import when it is needed? Isn't this: class SomeClass(object):      def not_often_called(self)         from datetime import datetime         self.datetime = datetime.now()  more efficient than this? from datetime import datetime  class SomeClass(object):      def not_often_called(self)         self.datetime = datetime.now() After mis-reading this question:  I found myself wondering if there are other non-weapon items such as tools that utilize lightsaber technology.  Example: the lightsaber bread knife Find the sum of finite series $S=\sum_{k=1}^{2015}{(-1)^{\frac{k(k+1)}{2}}}k$ Consider the following figure from Faraway's Linear Models with R (2005, p. 59).    The first plot seems to indicate that the residuals and the fitted values are uncorrelated, as they should be in a homoscedastic linear model with normally distributed errors. Therefore, the second and third plots, which seem to indicate dependency between the residuals and the fitted values, suggest a different model.  But why does the second plot suggest, as Faraway notes, a heteroscedastic linear model, while the third plot suggest a non-linear model?  The second plot seems to indicate that the absolute value of the residuals is strongly positively correlated with the fitted values, whereas no such trend is evident in the third plot. So if it were the case that, theoretically speaking, in a heteroscedastic linear model with normally distributed errors  $$ \mbox{Cor}\left(\mathbf{e},\hat{\mathbf{y}}\right) = \left[\begin{array}{ccc}1 &amp; \cdots &amp; 1 \\ \vdots &amp; \ddots &amp; \vdots \\ 1 &amp; \cdots &amp; 1\end{array}\right] $$  (where the expression on the left is the variance-covariance matrix between the residuals and the fitted values) this would explain why the second and third plots agree with Faraway's interpretations.  But is this the case? If not, how else can Faraway's interpretations of the second and third plots be justified? Also, why does the third plot necessarily indicate non-linearity? Isn't it possible that it is linear, but that the errors are either not normally distributed, or else that they are normally distributed, but do not center around zero? Styling multi-line conditions in 'if' statements? How do you become friends with someone? Number of planks required to stop the bullet Why are effective pixels greater than the actual resolution? compares Canon EOS 550D and Canon EOS 500D cameras and mentions     18.7 million effective pixels   for 550D. However the best resolution possible using this camera is  5184 * 3456 = 17915904 ~ 17.9 million pixels   What are effective pixels, and why is that number greater than 17.9 million in this case? How can I convert a node made material into an image texture? I have a sphere having a planet material MADE WITH NODES, and I want to convert this material into an image texture; because this material is made with nodes and only works in Blender, but I want to use in another software. This is my sphere material :   For Example : This is Jupiter :  And this is the texture :  In this case I used a downloaded image for Jupiter to be the material but I want the opposite, I want to change the material to image texture Like The shape of Jupiter texture. Is there anyway in Blender that can achieve my goal ? This is the file with my sphere material .  Textures Needed :  Albedo / Color / Diffuse Normal Map Roughness Glossines  I am using normal nodes and I am not useing the new Principled-shader How can I reset or revert a file to a specific revision? How to compile and run C/C++ in a Unix console/Mac terminal? How can I compile/run C or C++ in Unix console or a Mac terminal?  (I know it, forget it, and relearn it again. Time to write it down.) How to remove/install a package that is not fully installed? Direction arrows on a circle I would like to plot circle (or another curve) with positive direction (and show it wit arrows).  This plots the circle  \documentclass{article} \usepackage{tikz} \RequirePackage{pgfplots} \usetikzlibrary{shadows} \usetikzlibrary{shapes} \usetikzlibrary{decorations} \usepackage{verbatim} \usepackage[active,tightpage]{preview} \PreviewEnvironment{tikzpicture} \setlength\PreviewBorder{5pt} \begin{document} \begin{tikzpicture}     \begin{axis}[             xmin=-1.5,xmax=2.5,ymin=-1.5,ymax=1.5,             axis lines=center,             ticks=none,             unit vector ratio*=1 1 1,            ]                   \addplot [very thick, smooth, domain=(0:2*pi)] ({1.+cos(deg(x))},{sin(deg(x))});        \addplot[only marks,mark=*] coordinates{(1,0)};         \end{axis} \end{tikzpicture} \end{document}   And I want to add arrows like that    Would you advise me how to add such arrows? Watched screen recording but it's not saved to the desktop I recently recorded a session with my dad. I stopped the recording after the session ended (with the setting set to save to Desktop), clicked the icon that appeared on the lower right corner to open the file, and played back a few minutes to make sure it worked. I then clicked Share to send it via AirDrop to my computer, which did not work; the status remained &quot;cancelled&quot; despite my efforts. I assumed I'd be able to access it through my phone by sending it through a third app, so I pressed cancel on the AirDrop pop-up window. The entire screen recording closed and (apparently) vanished forever after the action. I'm extremely frustrated because I can't seem to locate this video. HTTP GET request in JavaScript?