What software does bonobo use

They have never been seen to forage using tools in the wild, although only a handful of wild populations have been studied because of political instability in the Democratic Republic of the Congo, where they live. As for those in captivity, Itai Roffman of Haifa University in Israel and his colleagues previously observed one captive bonobo, called Kanzi, using stone tools to crack open a log and extract food. However, it was possible that Kanzi was a lone genius, raised by humans and taught sign language, as well as once being shown how to use tools.

The team gave them a series of problems that required tools to solve — for example, showing the bonobos that food was buried under rocks, then leaving a tray of potential aids such as sticks and antlers nearby. Two of eight zoo animals and four of seven in the sanctuary made use of the tools — in some cases almost immediately. Longer answer: yes, sometimes, but you should not care. The function-based transformations are plain old python callable. The class-based transformations can be plain-old-python-objects, but can also subclass Configurable which brings a lot of fancy features, like options, service injections, class factories as decorators….

I do use bonobo for marketing automation tasks. Even documentation is somehow marketing, because it allows a market of potential users to actually understand your product. Whether the product is open-source, a box of chips or a complex commercial software does not change a thing.

What I care about is that there are marketing tasks to automate, and there are some of those cases I can solve with bonobo. I did not find the tasks I had easy to do with the libraries I tried. That may or may not apply for your cases, and that may or not include some lack of knowledge about some library from me.

There is a plan to include comparisons with major libraries in this documentation, and help from experts of other libraries python or not would be very welcome. Bonobo is not a replacement for pandas, nor dask, nor luigi, nor airflow… It may be a replacement for Pentaho, Talend or other data integration suites but targets people more comfortable with code as an interface.

Sorry, my bad. Or maybe, I can use one of the comments from reddit as an answer: «Python not only has duck typing; it has the little known primate typing feature. Me as an individual , and the growing number of contributors that give of their time to move the project forward.

You ask anybody about the timing of the Atari and they will tell you it was spot on. The Mac seemed to be a bit… clunky. I remember I was doing the Pilote remix of Turtle, and the Mac seemed to be all over the place. Even to this day, nothing beats the Atari.

That's when it all started to fit into place and, almost without thinking, the studio started shrinking. I only switched over to Ableton after 9 was launched. Up until then… well, I'd always seen it as a sort of DJ tool.

I remember having a look at one of the very early versions and just thinking, 'What does this offer me? I couldn't go back now. OK, maybe the audio engine is not the best out there, but the audio editing is inspiring.

The bounce and edit functions… being able to drop one transient from a waveform and warp it in any direction. The bizarre thing is that working on Ableton feels like the early days with the Atari and the It's got that same vibe; it feels exciting again! You've used analogue synths and Fender Rhodes electric pianos a lot in the past. Are those sort of sounds all provided by software now? Yes, I've got a real Prophet-5 and I absolutely love it, but having those sounds inside the computer is just a lot more practical.

There have been times when I've written something on a soft synth and thought, 'Right, I'll do that on a real Juno when I'm in the studio. I've been there, done it, and I'm looking for something new.

Obviously, there are a lot of Rhodes, Wurlitzer and Hammond presets out there, and what I've been doing is tweaking those presets to make them more interesting. Tired of learning new APIs? You'll be up and running in 10 minutes, if you know some python. Each transformation has a specific, unique, small and scoped purpose think UNIX , enhancing testability and ease of maintenance. It's just python! We worked hard to provide a clean API, using the standard data structures you already know.

The smallest building blocks of Bonobo scripts are plain old python objects. Anything callable or iterable can be used as a node. Bonobo provides the tools to combine the nodes in graphs, visualize the structure and execute them efficiently. Each node handles one line at a time , but the nodes run in parallel. Use bonobo. You just built your first reusable block, now just create instances of this class in your graphs, eventually overriding some parameters.

Once again, it's just python so you can bundle your blocks in modules or packages , as you would do with the rest of your codebase. Work with SQL databases.

Bonobo uses plugins to display status of an ETL job while and after it runs. Jupyter Notebooks. Bonobo Inspector. The simplest transformations are conversions from one to another format. Bonobo 's CLI bundles a convert command that does just that. The official bonobo-docker extension can be used to build and run ETL jobs within Docker containers.