We're behind a firewall, so we cannot use NPM install. However, we can use cypress.zip, but it seems that may only provide partial functionality. Looking for a confirmation either way.
Installed but not sure how to compare functionality available.
Related
I use vagrant and installed it first day of a bootcamp I took. I'm now trying to learn react but the installed version of node is too low to use npx/npm. I've tried a ton of different things, looked up different videos and I'm at a wall. I now have nodeJS version 12, and node v7 and my environment seems to just default to v7 and I can't sudo apt remove it
Well, I think there are 2 steps to resolve your issue, more or less it will help you in a long run.
Uninstall all the node installed
You can follow this guide on SO to do the removal steps: How do I completely uninstall Node.js, and reinstall from beginning (Mac OS X)
5 mentioned steps are enough to make sure your dev is clean of node.
This will revert your development back to default environment. After that, just dont install any new node like the old way you did.
Install nvm to manage node version management
Go to https://github.com/nvm-sh/nvm and follow their installation guide.
Basically this tool will help to manage your node version on your machine. You can install multi version and choose which one to work on, depend on your specific needs.
The installation guide is quite easy to follow, for some Mac OS user there might have some slight tweaks, but it's not that difficult.
Hope this help,
nvm 100% solved the issue. Was able to use it to update the one that wasnt updating, and i was able to uninstall the unused version. Unfortunately i could never get create-react-app to work. Its something to do with a node_module folder installed in my root files that i cant find and delete so it crashed every time i try to create react app. But i think i can just use cdn to create a react app so i guess its not that important, at least i have npm/npx if i need it
The question says it all. I'd like to install https://github.com/lochmueller/staticfilecache in a non-composerified TYPO3 instance. What is the recommended procedure?
I thought I could download the source, cd into it and then do composer install on the command line and then I would get the complete extension. But I didn't see that worked.
You could ask the author to add support for the TYPO3 Classic Mode which basically means embedding dependencies for extension packages uploaded to the TER. There is no other way to achieve this in Classic Mode, thus obviously I strongly recommend switching to Composer Mode.
I am new to Python and starting work on a large project that will be distributed to users. I am also the first in my company to be using, and I wanted to get recommendations on the best way to install Python & packages, so that I don't head off in the wrong direction.
I require data analysis frameworks (pandas, numpy, scipy, matplotlib, statsmodels, pymongo) and my initial approach was to install Python 3.5 directly, and then use pip install on each package.
I ran into similar problems that others have found [Unable to find vcvarsall], and resolved. Next problem was with BLAS and LAPACK missing when installing scipy. At this point I decided Anaconda was the way to go, rather than individual pip installs, and was easily able to set everything up.
One problem with Anaconda is that it installs a lot of packages which I will never use, and may not have some which I would like to use in future, e.g. TensorFlow (presumably can do pip install to get extra ones that are not included?).
An in-between solution seems to be Miniconda, which I believe would have fixed the BLAS/LAPACK problem with scipy.
So my question is: can someone with experience of developing data analysis projects in Python, that will be deployed to users' Windows desktops, and with server-side components running on Linux, provide recommendation of what they would do if starting from scratch at new organization?
(I'm currently in favour of heading down the Anaconda route.)
Personally, I think Anaconda(conda) is better. First of all, conda is cross-platform package manager, and it is easy to install and use. Second, conda has functionality of virtualenv, and you can use conda create to create environment. Finally, there is Anaconda cloud and condo-forge, those community can help you solve conda issue, build packages, and share ideas.
Moreover, Anaconda(conda) indeed install a lot of packages, but those are all dependencies. For example, when you "conda install scikit-learn", conda will automatically help you install the dependency, numpy and spicy.
A gem I want to use called paperclip requires imagemagick to be installed. How can I get rails to manage these non-gem dependencies (for team/version controlled projects where you can't just ask everyone to install the dependencies for your feature).
I have been searching for an answer and cannot find an adequate one.
You just can't. Paperclip execute command (like when you open your terminal), it doesn't use an API or a library for imagemagick.
So you can't manage your system with Rails, for that you have specific admin tools.
Or you can create a simple script for install this software but it's not very expendable.
Is someone aware of the steps that are necessary for installing node module for SQLite3?
Cannot see any posts/threads that clearly tell the steps.
I also need to do this without installing Visual Studio etc.
and old post, but still relevant. The sqlite3 module relies on the node-gyp module, which on windows is a pain to install. Its readme recently got updated to explain the steps required to make this work, see https://github.com/TooTallNate/node-gyp/blob/master/README.md