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Feb 18, 2020 - Python
Firebase
Git Merge 2020
March 04, 2020 • Los Angeles
A description is incomplete. It should mention:
These patterns are not competing, but complementing each other. To achieve availability, one needs both fail-over and replication.
right after
"There are two main patterns to support high availability: fail-over and replication. "
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Text editors
The text editor is a sacred application for developers. Here's a showcase of some amazingly awesome open source editors.
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.
Application
- Desktop
- Mobile
Description
We would like to support notebook icons in the sidebar, as is done for example in Bear. See screenshot below:
Specification
- Add a new
iconproperty to theFolderobject - it will be a string that will take any
LitElement is a simple base class for creating fast, lightweight web components that work in any web page with any framework.
It would add a nice way to show how custom-components can be build and used (in this case with lit-elements, but there are others as well as for example stencil). The possibility to incooperate it into other javascript frameworks, like VueJs, React and Angular, makes a
Probably too minor to mention, but just wanted to point out in case people notice it: since the notebooks indent with two spaces and Colab expects four spaces by default, Colab will make indented text red as a warning. e.g. from lab1/Part1_tensorflow.ipynb:
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| m1 / m2 | ef_divide($m1, $m2) |
| m1 > m2 | ef_compare($m1, $m2) > 0 |
| m1 >= m2 | ef_compare($m1, $m2) >= |
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LGTM
Continuous security analysis
LGTM is a code analysis platform for identifying vulnerabilities and preventing them from reaching production.
LGTM automatically runs 1600+ standard analyses contributed by researchers from the Semmle Security Research Team and our customer community, including Microsoft, Google, Uber and Mozilla.
Quickly refine and run custom QL queries to find variants of known issues and prevent them from being re-introduced into your codebase.


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