I am a python
user who is dependent on pandas/numpy/bokeh
for data analysis.
I normally use Jupyter notebook
for all my prototyping and exploratory work, however I find that the notebook does not provide a similar experience as RStudio
. Although, I do not prefer coding in R
.
I want to be able to do things like:
- explore dataframe objects and variables in a text editor
- have a workspace dedicated to plots so you can see your plots in that dedicated space rather than inline
- ipython console like functionality in the Terminal window workspace (
Rodeo's
Terminal is very weak and not conducive for extensive data analysis)
I found the following post on this topic: is-there-something-like-rstudio-for-python .
The question in the above link was asked in 2011. 6 years have gone by and we don't have anything remotely legitimate as a solution.
So far, I have stumbled onto Rodeo and JupyterLabs.
I have started to use Rodeo
, however it is extremely buggy and poorly designed. In my opinion it is not useable for any data analysis task. As for JupyterLabs
- it is in its infancy so not yet useable for anything.
my QUESTIONS:
- Are there any other options than the two mentioned in this question?
- Current status on
JupyterLabs
and timeline for official release? It seemsJupyterLabs
in theory solves all of the workflow problems I can think of that currently exist for users inpython
who are familiar withRstudio's
flow. I am already having problems launching Jupyter Labs (see: jupyter lab - launches but don't see any tabs).
(Rodeo
has good intentions but so far falls way short - I have already started filing bugs or design flaw tickets).