Join GitHub (or sign in) to find projects, people, and topics catered to your interests.
Here's what's popular on GitHub today...
Write docs
Play as a fire truck in a web-based, fire mayhem game created for Ludum Dare competition.
Flask
-
Updated
Jun 3, 2020 - Python
-
Updated
Jun 4, 2020
Capture the Flag
May 06, 2020 - June 12, 2020 • Online
-
Updated
Jun 4, 2020 - Python
I noticed in the documentation on fontawesome.com, that in the 'Using Font Awesome With' section there is no page for the world's second most popular CMS, Drupal.
A community-contributed Drupal module for Font Awesome integration already exists. Do you just need someone to write the docs? I could help with this.
Sync by Unito
Build the GitHub workflow you need
Unito goes beyond your typical integration tool, allowing you to build entire workflows across tools, teams, and organizations. All Unito integrations offer two-way sync, meaning essential information can flow back and forth between the tools you love.
Be more productive and ease collaboration between your teams. Unito’s GitHub integration syncs:
- Title
- Description
- Comments
- State
- Milestones
- Issue number
- Labels
- Issue type
- and more
Right now, the integration test use the movie dataset. This is an issue because this dataset is unnessecarily big for testing purpose and thus drastically slows down running the test suite. I suggest we use a smaller dataset (< 100 entries) to improve our CI time.
I can't find any other explanation or formulas for results like median, average, min/max, req/sec in documentation, readme or web page. On the documentation page I tried basic scenario to search result/s and get no relevant page.
I found this question on stackoverflow, so I'm not only one who didn't understand it
https://stackoverflow.com/questions/39665250/locust-result-summary-how-to-underst
-
Updated
Jun 5, 2020 - Python
-
Updated
Jun 5, 2020 - TeX
-
Updated
Jun 5, 2020 - JavaScript
I've tried to figure out how to submit a GitHub [pull request for the wiki repository](git remote add origin git@github.com:carpiediem/d3-wiki.git), but I can't seem to make it work. I'd just like to add an item to the list of plugins.
* [carpiediem/d3-curve-circlecorners](https://github.com/carpiediem
Documentation Is:
- Missing or needed
- Confusing
- Not Sure?
Please Explain in Detail...
I needed to produce a number of charts with a consistent yAxes logarithmic scale so that users can compare between charts.
I tried setting the same yAxes config settings for each chart:
beginAtZero: true
ticks
I am working in a small project that trying to reproduce BBC R cookbook with plotnine and altair. I found that the current example of a grouped bar is not what we would normally used. It is not straight forward to tweak it, so I think an example would be helpful.
I would love to see if you have any advice to simplify the syntax as it requires quite a lot
-
Updated
Jun 5, 2020 - Python
-
Updated
Jun 5, 2020 - JavaScript
Text in the notebook: Our weights need to be improved. To do this, we take a few data items (such as images) that and feed them to our model
Issue : In the italic- highlighted text above, seems like word that is not fitting in context of sentence. Two probable cases, may be something is missed to be written after that or that is actually a typo
-
Updated
Jun 3, 2020 - Kotlin
-
Updated
Jun 5, 2020 - Python
-
Updated
Jun 5, 2020 - JavaScript
Hello, we would like to feature your project to the Docusaurus users page?
And can you deploy the document website? (github.io or another your domain)
-
Updated
Jun 5, 2020
-
Updated
Jun 5, 2020 - Python
-
Updated
Jun 3, 2020 - C++
Code Inspector
Code Inspector is a code analysis platform that does automated code reviews, technical debt management and analysis of code quality trends over time. The platform aggregates multiple quality metrics (violations, duplicates, readability, complexity). The platform reports the $ figure of the technical debt and show trends of your code base. Code Inspector reports the most critical issues by distinguishing them according to their category, severity and location.
See Keenan's install notes on Slack here.
Ideally we would provide a build script that streamlines all the installation that first-time devs need to do, especially the various JS steps.