alternating between projects & dont remove urls — 👉 GSA SEO and Marketing Forum 👈

alternating between projects
when i looked before im sure i saw a way to alternate between projects, i.e. turning projects
on & off for a set period, (so you have less projects running at once so it does not overburden the system)
but when i looked again i couldnt find it.

i thought it was under
main admin screen>options

but looked a few times & couldnt find it, does anyone know where this is ?

dont remove urls


where it says
“dont remove urls – check hint”
what does that mean exactly – does it mean it wont remove the urls when it reverifies them ?
i read the mouse-over text but was’nt sure what it meant.

& “remove after 1st verification try” is greyed out & cant be selected.

code organization – How to organize top level scripts in Python projects, especially for interactively developing

I have a Python project that looks something like this.


For context, main_module implements a whole bunch of numerical computing code and simulations and the files, are scripts that glue together things from main_module and data then store output (figures, tables, etc.) in outputs. These are distinct from things in tests and could maybe be described as user code.

Each task file can take quite a long time to run, so it is quite convenient to develop them interactively and plot intermediate results and so on to check what is going on — this cannot realistically be simply placed into tests/.

If I put each task file into a subdirectory main_tasks/ or something, then I can’t import from main_module unless I make project/ itself a module. However, this seems to make interactivity very difficult since you get ImportErrors on any relative imports. So, what is the right way to organize these top level task scripts into a subfolder so that they aren’t polluting project/? Is it proper to just do something like:

sys.path.insert(0, "/path/to/main_module/")

? In a tasks subfolder? Should I install main_module in site-packages? Should I develop interactively in the top level, then move the tasks into a bona fide module after they’re working?

For context I’ve looked at and some other project organization questions on SO but didn’t feel my issue was adequately addressed.

Has there been a rigorous analysis of cost-to-operationalize projects in different languages?

I recently operationalized a project that used two very different languages (Python for high-level work gluing pieces together, and a low-level, compiled numerical computing language for the the heavy computation). Very much anecdotally, I found that I spent much more time trying to debug my Python code, finding bugs after deployment/in production, whereas my compiled library had basically no errors despite being 50% more SLOC than the Python side.

I imagine that, had I used Java or C# (or more generally, a statically-typed, compiled language without semantic whitespace) instead of Python, I would have shipped faster and had fewer issues. (And this is even with using several add-on tools to help with static analysis, linting, parameter validation, etc.)

Recognizing that languages and their ecosystems aren’t fungible but there are large overlaps in these general-purpose languages, I’m curious if there has been serious (ie, not holy war banner-carrying) comparison of cost to develop and maintain projects in different languages — something that, all other things being equal, might help guide organizations to select the less costly tool for the job, given that multiple languages will work.

I also know that for many organizations, this isn’t even a concern. I’ve worked at places that are a one-language shop because having that uniformity is itself a cost savings. But when there are multiple options available, what do organizations typically do (or what can they do) to make this assessment as objectively as possible?

(This question from 9 years ago leads to this paper (pdf) that concludes “C++ code is less complex, less prone to errors and requires less effort to maintain (than C)”, but I’m interested in something more comprehensive and across more languages.)

An api for github to get some kind of projects?

I’m trying make an dataset of projetcs from github, with some similarities, like language. The github api got an endpoint to that? Thanks

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github – Working with multiple projects in Git(Hub)

I have 2 repositories: A and B.
A is a library that can’t be used on its own.
B depends on A. It uses the results of A, expands it by more functionalities and produces another result.
Although B can be controlled simply from a command line, I would like to create additionally a simple GUI for B, so that it can be used easier.

  1. Are submodules the right way here?
    1. Can they be created directly from GitHub or only from Git?
  2. Would it make sense to create another repository C for the GUI? Or maybe just put it into an own package in B?
  3. Is there any way on GitHub to make it obvious on my profile that A and B (can) belong together?

PS: I’m using Java.

What are some of the GitHub alternatives that you consider for Bitcoin Core and other Bitcoin related projects?

Time for Bitcoin Core and other bitcoin related projects to look for GitHub alternatives?

Some of the issues:

audit – Is there any such thing as an independent code vetting project which works for free to vet open source projects?

I’m sure I’m not the only one who is scared to death to blindly trust random strangers with all my data. Which is the case in practice if, for example, I’m to use this library right now, which I’m about to:

It is impossible for me to know if this (or any other library) does only what it claims, and what kind of security the author has. Tomorrow, he could get compromised and his account uploads an update which adds malware behaviour to his originally clean library, and then Composer will pull it down.

I wouldn’t mind using a slightly outdated version if that version was “verified” somehow by a third party. However, I’ve never encountered such a thing.

Is there really no group of security-aware people who go around and “vet” libraries such as the one I’ve linked to above, marking specific releases as “OK” so that I can use them without (as much) fear? Yes, I have to trust that group, but it’s at least another entity that claims to have done some kind of real vetting.

I almost feel like I’m missing something important. As in, nobody in their right mind would be using these GitHub projects like this, or something. Yet I have to. It is impossible for me to go through others’ code (unless very trivial), but others claim/seem to be able to, so it seems reasonable that they don’t just do it locally for themselves, but report their trusted “seal of approval” somehow to the world.

There must be companies out there who use open source projects and do have some paid guy going through the code before they just put it into production on their enterprise mainframes, right? Wouldn’t it be a great way for them to give something back without having to donate money or actual code, by simply sending a signal saying: “We, Entity X, believe that version Y of library Z is clean, and will be using this in production.”?

If this were standardized in some way, GitHub (or others) could display a little list of gold stars/badges next to each version, showing which trusted companies/groups have vetted the code.

Is there something I’m missing? Why isn’t this (apparently) a thing?

licensing – Why do projects keep around old incompatible licenses?

I’ve noticed that in a couple of fairly large repos (GNU Autoconf and the Linux kernel), there are multiple licenses provided even though they’re incompatible.

In the GNU Autoconf repo, they provide both COPYING and COPYINGv3, which are the GPLv2 and GPLv3 respectively. These licenses are incompatible, and file copyright headers reference v3, so I think it’s fair to say that Autoconf is released under v3 exclusively.

My question is: why do projects do this? Couldn’t they just replace the old license with the new one and keep things cleaner?

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