cheatsheets
OpenFaaS
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cheatsheets | OpenFaaS | |
---|---|---|
60 | 56 | |
5,596 | 24,515 | |
1.5% | 0.8% | |
7.6 | 6.8 | |
5 days ago | 16 days ago | |
TeX | Go | |
Creative Commons Attribution 4.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cheatsheets
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Tools a Data Scientist should know:
If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!
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JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.
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Best packages to learn?
I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.
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How do I make these shapes (pictured below) in ggplot?
You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)
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Why does my scatter plot look like this?
I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.
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Import from Excel
Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.
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[Request] How to best visualize percentages with R?
That said, when Iโm trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf
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Need help with variables
Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf
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Data manipulation in R
The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.
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I'm trying to recreate this plot but I keep failing
I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.
OpenFaaS
- Serverless Functions, Made Simple
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The 2024 Web Hosting Report
Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters.
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โกโก Level Up Your Cloud Experience with These 7 Open Source Projects ๐ฉ๏ธ
OpenFaaS
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Spinning up docker containers from http requests
Did you consider running knative or openfaas? https://github.com/openfaas/faas
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.NET 8 Standalone 50% Smaller On Linux
Anyone knows other alternatives for Azure Functions, but for DIY hosting? ( eg. OpenFaas - https://www.openfaas.com/ )
- A question about how pods creation with requests
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What exists on the spectrum between a cron job and airflow?
Maybe OpenFaaS with grafana and slack notifications for non-200 responses?
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I need a custom resource somewhere between a job and cron job -- does it exist?
OpenFaaS - https://www.openfaas.com
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Hosting strategy suggestions
By the way, if your organization is leveraging EKS as a platform and your DevOps team is willing to enable this operator, there's an exciting tool called OpenFaaS. Essentially, it enables you to host your Lambda functions on your own infrastructure instead of relying on the public cloud provider.
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Questions for Heroku-like Project
This is where I see K8S coming in โ teachers can provide dev deployments that are setup for students to learn. Teachers can also provide containers that run automated tests against the student containers for assessment! Plus, we can smooth over some of the git workflow stuff for the ripest of beginners; we can integrate with github to sync their work on our platform to repositories on their github account, so that they can really take ownership of the work they do on the platform. Last, students can graduate their work from development into production very easily, since we can take the base images + student diffs, build a new "prod" image for the student. We can run students' prod work on "serverless" K8S frameworks like fission or OpenFaas to be able to host many low-traffic "production" apps at the same time.
What are some alternatives?
tidytuesday - Official repo for the #tidytuesday project
IronFunctions - IronFunctions - the serverless microservices platform by
forcats - ๐๐๐๐: tools for working with categorical variables (factors)
LocalStack - ๐ป A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
mostly-adequate-guide - Mostly adequate guide to FP (in javascript)
dapr - Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
ggplot2-book - ggplot2: elegant graphics for data analysis
OpenWhisk - Apache OpenWhisk is an open source serverless cloud platform
mech - ๐ฆพ Main repository for the Mech programming language. Start here!
fn - The container native, cloud agnostic serverless platform.
ggplot2 - An implementation of the Grammar of Graphics in R
Appwrite - Build like a team of hundreds_