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Git branching strategy integated with testing/QA process

Our development team has been using the GitFlow branching strategy and it has been great ! 6 Answers ...
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Nodemailer with Gmail and NodeJS

... environment. he clearly mentioned that it is working in local environment and not working on remote server. what is the solution for thaat? – Adithya Sai Mar 5 '19 at 19:49 ...
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What is the difference between the Data Mapper, Table Data Gateway (Gateway), Data Access Object (DA

I'm trying to brush up on my design pattern skills, and I'm curious what are the differences between these patterns? All of them seem like they are the same thing - encapsulate the database logic for a specific entity so the calling code has no knowledge of the underlying persistence layer. From m...
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z-index not working with fixed positioning

I have a div with default positioning (i.e. position:static ) and a div with a fixed position. 8 Answers ...
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Generating random numbers in Objective-C

I'm a Java head mainly, and I want a way to generate a pseudo-random number between 0 and 74. In Java I would use the method: ...
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Multi-project test dependencies with gradle

I have a multi-project configuration and I want to use gradle. 16 Answers 16 ...
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How to debug a GLSL shader?

... Why would you want to debug anything? Because its code and he wants to examine run time values I would hazard.... – RichieHH Aug 31 '15 at 10:57 3 ...
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Is it fine to have foreign key as primary key?

...n to this are tables with a one-to-one relationship, where the foreign key and primary key of the linked table are one and the same. share | improve this answer | follow ...
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How to make rpm auto install dependencies

... Create a (local) repository and use yum to have it resolve the dependencies for you. The CentOS wiki has a nice page providing a how-to on this. CentOS wiki HowTos/CreateLocalRepos. Summarized and further minimized (not ideal, but quickest): Creat...
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Moving average or running mean

... UPD: more efficient solutions have been proposed by Alleo and jasaarim. You can use np.convolve for that: np.convolve(x, np.ones((N,))/N, mode='valid') Explanation The running mean is a case of the mathematical operation of convolution. For the running mean, you slide a win...