njr
njr

So, are there any Pythonistas or data (scientists|analysts|people) on micro.blog? I'd like to follow y'all.

Here's a PyData London 2018 Debugging Duck.

|
Embed
Progress spinner
mjdescy
mjdescy

@njr I am a data analyst, though I don't often post about it because work stuff is proprietary. I will follow you to learn more about Python, which I've dabbled in. My last work laptop didn't have enough RAM for pandas to be useful, so my use of Python for work is pretty limited.

|
Embed
Progress spinner
njr
njr

@mjdescy I’ll follow you too.

I haven’t posted much directly here about Python/Data Science, but the tdda blog (tdda.info) has lots, and posts on that get tirned into microposts here, so there’ll be some.

|
Embed
Progress spinner
mjdescy
mjdescy

@njr Cool. I subscribed to the TDDA blog, which I hadn't heard of before, and hope to learn from that, too!

|
Embed
Progress spinner
njr
njr

@mjdescy Great. I’m a bit surprised pandas was a problem unless your data was huge. It’s fairly efficient. But maybe it was a really small machine. I run Python with pandas on reasonable-size datasets on the smallest Linode instances without problems.

|
Embed
Progress spinner
mjdescy
mjdescy

@njr The data was huge. I had to munge and filter it using GNU Coreutils before I could run my analysis. By that point, I had retreated from Python to tools I was more familiar with.

|
Embed
Progress spinner
njr
njr

@mjdescy makes more sense!

|
Embed
Progress spinner
rosemaryorchard
rosemaryorchard

@njr I use the app called Pythonista on iOS! I'm not a data wrangler though :)

|
Embed
Progress spinner
In reply to
njr
njr

@rosemaryorchard Good enough!

|
Embed
Progress spinner
rosemaryorchard
rosemaryorchard

@njr I am honoured! I shall try to be interesting enough for you :)

|
Embed
Progress spinner
njr
njr

@rosemaryorchard Pythonista is awesome, isn’t it? I downloaded our 300k LOC data analysis package, and ir ran OK, iPad and iPhone. Not a toy at all!

|
Embed
Progress spinner
rosemaryorchard
rosemaryorchard

@njr It is extremely powerful! Check out Stash to install extra modules too. You can do a heck of a lot with an iPad and Pythonista. Add in Workflow and Drafts too and I find there are many things I can do faster and/or better on iOS than on a Mac - especially on the go!

|
Embed
Progress spinner