aspinsiders / aspinsiders.com Goto Github PK
View Code? Open in Web Editor NEWThe ASPInsiders public website
Home Page: https://aspinsiders.com
The ASPInsiders public website
Home Page: https://aspinsiders.com
... instead of redirecting to it.
@nothingmn / @vcsjones, instructions on how to set the DNS entries are here:
https://help.github.com/articles/using-a-custom-domain-with-github-pages/
I'll send a PR with the CNAME file, shortly.
The CSS is simple but using SCSS would make it look better. For example, this:
nav {
background-color: black;
display: block;
}
nav ul {
list-style-type: none;
}
nav ul li {
display: inline-block;
}
nav ul li a {
padding: 15px;
display: inline-block;
text-decoration: none;
color: #FFF;
font-weight: normal;
font-size: 12px;
}
nav ul li a:hover {
background-color: #333;
}
could be better organized into this:
nav {
background-color: black;
display: block;
ul {
list-style-type: none;
li {
display: inline-block;
a {
padding: 15px;
display: inline-block;
text-decoration: none;
color: #FFF;
font-weight: normal;
font-size: 12px;
&:hover {
background-color: #333;
}
}
}
}
}
GitHub recently announced support for HTTPS on custom domains hosted on GitHub Pages by partnering with Let's Encrypt who issues the certificates.
We can benefit from that and in order to support HTTPS we just need to change the A
records in the DNS settings for our domain.
@ardalis, could you please:
Delete all existing A
records for aspinsiders.com
Add the 4 (four) A
records below to aspinsiders.com
185.199.108.153
185.199.109.153
185.199.110.153
185.199.111.153
More detailed instructions here if you need.
ps: Please, let me know when it's done, so I can flip the switch on the GitHub settings for HTTPS.
We should try and get members to vote on a new website design from existing Jekyll themes, suggested by the membership & shortlisted to a handful for voting on.
Initial ideas for features:
Please comment to upvote or add other features you'd like to see.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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