1/6 [bamboolib - free community version and public launch]
Data analysis in Python - without becoming a programmer or googling syntax.
Demo video
https://t.co/Tqr5eqww4K
Get started for free via the website (last tweet in thread)
@ivanov When we met at Jupyter open studio day I noticed that you had a Dynamicland sticker. Do you know if they shut down or if they relocated? I reached out via email and went there in person but did not find any resonance
Great article on bamboolib for super easy data science and ML. Its creators (8080labs) just joined Databricks, and we're hiring folks to work on it! https://t.co/Juvbwng8PK
FAQ: Can an open architecture built on a lakehouse provide the performance, speed, & cost advantages of data warehouses?
A: @Databricks SQL proves beyond any doubt that the lakehouse architecture is capable of achieving this. [@rxin@mostafamokhtar7]
https://t.co/Hn4j8K7IKZ
The DeWitt clause is anti-competitive and we should foster competition and progress. At @databricks, we are removing the DeWitt Clause from our service terms to encourage open benchmarks and research, and calling upon the rest of the industry to follow.
https://t.co/9juKWnqxqa
In #Techtiefen 35 spreche ich mit @Wetschoreck (Co-Founder von @bamboolib_ ) darüber, was beim Bau von Produktivitätstools zu beachten ist und wie man echte Nutzerbedürfnisse identifiziert. Etwas weniger technisch, dafür sehr praxisnah: https://t.co/mWj4OnXkIl
1/6 [bamboolib - free community version and public launch]
Data analysis in Python - without becoming a programmer or googling syntax.
Demo video
https://t.co/Tqr5eqww4K
Get started for free via the website (last tweet in thread)
@chris1610 Great overview, Chris. A @bamboolib_ customer reached out to us and was sad that you skipped his favorite GUI. What do you think about adding bamboolib to a future article?
@dataisawesomeo @bamboolib_ We are still in private beta but there are many companies who are already using bamboolib in production. If you want to give it a try again, feel free to request another(?) trial on https://t.co/4NuRB7ICEs
@dataisawesomeo @bamboolib_ Yes, we focus almost all resources on development to fulfill our corporate clients' needs. Also, there are some interesting projects cooking - you will hear more about it next year. Any special reason why you asked? :)
Is someone interested to create a tutorial/explanation of paredit (structural editing of lisp-y languages) using a tree representation like elm-arborist? That might really help in the understanding of what's going on instead of looking at text (which is the wrong representation)
Here is a great demo for an editor that uses structural editing as primary form of representation:
https://t.co/Bx8kMWgZgu
and here a great quick demo which shows both the advantages and barriers to using paredit:
https://t.co/gb5M4axrH1
@KasparEtter Great article - I love the human touch of the explanations which makes the technical terms very approachable for anyone. Also, your article is really thorough and covers a lot of ground. Many (university) courses that cover the Internet would benefit a lot from this article
State of bamboolib (1.16.0)
• Intuitive GUI that exports Python code
• Supports all common transformations and visualizations
• Provides best-practice analyses for data exploration
• Add custom transformations via simple Python plugins
• Integrate any internal Python library