__tobals__

- Watched "cowspiracy" ~2 yrs ago and other documentaries (like "seaspiracy" ~ 1 week ago) to question my food consumption. 4h invest

- basically turned vegetarian (like 99,99%) in 2014

- joined avaaz.org to sign petitions. 30 mins per month invest

- I'm a minimalist and avoid buying new stuff, avoid buying furniture altogether

- Use the bike to get to work

- did a sticker campaign in 2014 to raise awareness about our lives and the planet (I firmly believe that awareness is a key factor to sustainability)

I personally think that avoiding things is very relevant and that positive actions (as long as they are not in the flavor of "I remove any sort of waste") can do more harm than good in the long run, since the environment is an utterly complex system.

We started pyforest a couple of months ago and received a lot of constructive criticism, mainly focusing on making the auto-imports explicit to the user and thus following the ZoP "explicit is better than implicit". We took that criticism and improved pyforest in this regard.

With the new release, pyforest will automatically write the import statement to the top of your Jupyter Notebook once you use a package.

What do you think?

Cheers. Do you already have a use case for bamboolib in mind?

You are welcome. :) Do you already have a dataset you would like explore with bamboolib?

bamboolib is a Python library for exploratory data analysis and data transformation.

Kaggle does not support saving Widget state to the static HTML notebook. This is why the code lines are commented out in the Kaggle notebook.

Happy to answer any questions.

I think we have already fixed the plot naming. Did you see that in the video?

About the communication: I can understand that. We try to communicate clearly that we both are commercial and support Open Data. It's not easy, however. Especially when people see you for the first time.

According to your perception, where could we be more clear on the communication?

Could you send me a link to the docs where they say which ones are not included in Pandas? Would love to take a closer look at his.

Yes, we looked at many different tools for inspiration and Trifacta was among them.

For join in action, you can watch this video: https://www.youtube.com/watch?v=r59Q19oCMr8&t=3s

We also support pivot and melt. About union: what do you have in mind here?

Thank you very much for that honest feedback. It means a lot to me. Honestly, I will have to reflect on what you said, but I would like to get back to you on this later.

I am happy you like it :) About (1) - (3): I will have a look at those features, but thanks a lot for the feedback. About (4): we currently support pandas, but be basically want to offer many more backends in the future, therefore also making bamboolib interesting for companies that use clusters a lot.

Interesting. So on which platform are you providing that service? What does your product look like (maybe share a link?)? And did you find a "solution" to your problem of finding a large enough audience?

I'm sorry to hear that you are sad because you wanted to contribute but can't. Maybe, we can find a solution to that. If you want to contribute (e.g. by joining our team), feel free to reach out to us! We are always happy to have capable and driven people on board :)

Fair point indeed, but the good news is: we improved on that :) And it won't happen again.

Our main target user is a professional python data scientist that wants to be faster at data wrangling and visualization so that they can focus on understanding the data instead of coding the same pandas commands over and over again. That’s why bamboolib has both data transformation and exploration features included. In the future, we will provide more sophisticated features from which also more experienced data scientists can profit.

Yet, I definitely agree that bamboolib especially nicely suits pandas learners and non-coders. Would be happy to have a direct exchange on your ideas on this topic (feel free to pm me at tobiaskrabel at gmail dot com).

So if I understand you correctly, you deem the price for the annual license too high? Could you elaborate on what you mean by 99% open source and how that relates to your perception of the price?

bamboolib is a GUI for transforming and visualising pandas DataFrame objects with no to little code. Feedback is appreciated!

pyforest lazy-imports all popular Python Data Science libraries so that they are always there when you need them. If you don't use a library, it won't be imported. When you are done with your script, you can export the Python code for the import statements (so that you don't violate the Zen of Python "explicit is better than implicit").

You can already pip install pyforest. It will be available on conda soon.

In the youtube video, it is mentioned that this is a product vision based on Trifacta Wrangler in order to show what bamboolib is aiming for.