quinn VS gutenberg

We're brainstorming functions to make PySpark easier, see this issue: https://github.com/MrPowers/quinn/issues/83

Adding some README documentation to the README should be quite straightforward. Here's a function that needs to be documented: https://github.com/MrPowers/quinn/issues/52 .

quinn is a library with PySpark helper functions. I need to work through all the open issues / PRs and bump all versions. I should do another release. This library gets around 600,000 monthly downloads.

Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.

Here's how I added a create_df method to the SparkSession class: https://github.com/MrPowers/quinn/blob/main/quinn/extensions/spark_session_ext.py

They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.

I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.

quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.

Built bebe (https://github.com/MrPowers/bebe) to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.

Also build spark-sbt.g8 to create a Spark project with a single command: https://github.com/MrPowers/spark-sbt.g8

I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.

Case study 3: Zola

So after shopping around a bit I found a simple, dependency-less static site generator called Zola. The lack of dependencies sounded very attractive after all the headaches trying to update my Gatsby modules. I wanted to give Zola a try and see what tradeoffs I would need to make coming form a React-based framework to this Rust-based generator.

I think you're thinking about Zola: https://github.com/getzola/zola

But yes, if I were to recommend something, it'd be Zola given that there's just one executable that you need to run and there's absolutely no setup required.

If I were to start again from scratch, I'd likely use Zola as SSG (https://www.getzola.org/)

I've used Zola (https://github.com/getzola/zola) for a static project homepage a few years ago to showcase examples with a simple description and a wasm app embedded in the page, it worked perfectly for me and the docs was clear on how to use it. It was very easy to set up along with a GitHub action to automatically update the wasm binaries when needed. It is definitely a tool I keep in my mental toolbox as a good default.

I'm currently learning https://www.getzola.org/.

It's more manual than idy like but it's gonna be for a small personal and work website so I don't mind much.

It's super fast.

Doesn't seem to fit your use casr but still.