interactive

We would like to avoid confusion like we have in webpack-contrib/webpack-bundle-analyzer#185

We could document statsFilename and reportFilename options allowing the use of an absolute file path like /path/to/folder so that people would know it's supported.

Let us know in this issue if you would like to contribute to this!

Most items coming from questions on the community forum

• a proper multicategory bar example based on https://community.plotly.com/t/multicategory-axis-type-example/26392
• example of shape or annotation covering several subplots thanks to xref='paper'. Also the shapes and annotations tutorial should link to each other.
• orthographic projection example in 3d axes tutorial (or

We should make a GitHub action so that when we update our README it automatically goes to the website. At the moment, our README is out of sync with the website. The repo's README should be the source for the website.

potential api example

bit fix undo-commit
bit fix untrack-file
bit fix rename-commit
bit fix catch-up-to-branch

Is your feature request related to a problem? Please describe.

A user in the community Slack wanted to filter out/select items from a JSON array of objects. Given records in the following format:

'[{"type": "AAA", "timestamp": "2021-09-27"}, {"type": "BBB", "timestamp": "2021-09-27"}, {"type": "AAA", "t

Expected Behavior

Current Behavior

Possible Solution

Steps to Reproduce

1. Work computer works fine loading .gml
2. Home PC gets angry
3. Java is updated

Context

Introduction

We would like to have a pylint check for indentation in Python code. This will likely require a custom lint check. Here are some of the cases we want to handle:

Indent By 4 Spaces

Good:

def func():
    pass

my_list = [
    'a',
    'b',
]

Bad:

def func():
  pass

my_list = ['a',
           '

Notice the unspecified ::MIME type:

this happens because the table integration is not loaded:

https://github.com/fonsp/Pluto.jl/blob/6f5876228671f9d89d6f01cedc10221d83f012d6/src/runner/PlutoRunner.jl#L1038-L1039

Hey everyone!

mapd-core-cpu is already available on conda-forge (https://anaconda.org/conda-forge/omniscidb-cpu)

now we should add some instructions on the documentation.

at this moment it is available for linux and osx.

some additional information about the configuration:

1. for now, always install omniscidb-cpu inside a conda environment (also it is a good practice), eg:

I'm trying to replace the background diagram-maker canvas svg, with custom small circular nodes. So, probably this lead to more than 5000 number of circular nodes.

This is causing Performance Issues. Any suggestions, how to optimize this usecase?