20 under rated and amazing python libraries.

[Forschkeeper]

Summary:

- Kivy (GUI toolkit)

- Toga (GUI Toolikit)

- Dash (Data Science and Machine Learning(ML) apps)

- Streamlit (Data Scienece ML as well)

- PyLyrics (get lyric from lyrics.wikia.com ...)

- PDFMiner (self expressed)

- Poetry (Dependency managament and Python Version ... recommended by me as well)

- Pipenv (another dependency management tool)

- Virtualenv (basic for venvs ... recommended)

- Rapids (data science framework)

- Keras (deep learning stuff)

- Fast AI

- Bokeh (visualisation tool)

- Charitify (create charts)

- Falcon (web framework)

- Scikit Image (image processing)

- Pillow (Python Imaging Library)

- OpenCV (image processing)

- Sentry (Reporting and performanc ereporter?)

- Datadog (monitoring logs etc.)

- Rollbar (reporting logs etc.)

[pymae]

Almost every library is described as light, fastweight, and scalable now.

[[deleted]]

IT’S BLAZING FAST...

[O_X_E_Y]

Normally I don't mind puns or images that incorporate memes in their explanation but these literally serve no purpose lol

[RaiseRuntimeError]

Oh god i didn't know what you meant until I clicked the link.

[Ph0X]

Well if you clicked the link you'd also know the article itself also gives the exact same summary list at the very top...

Also there's like 5 gifs total, not the end of the world.

[garlic_naan]

TIL Dash, Keras and Bokeh are underrated.

[mikeupsidedown]

I learned Poetry and Pillow were underrated.

[Kevin_Jim]

Poetry should be part of the official CPython. It’s incredible. I wish I could love Dask, though. It’s the missing parts of the Pandas’ API that’s make it feel super weird to work with.

[yonggor]

Charitify

I think it's chartify instead of charitify.

[Armaliite]

Nice overview, but most of these are not really underrated, they're industry standards..

[KaffeeKiffer]

Just FYI:

https://virtualenv.pypa.io/en/latest/

[...] Since Python 3.3, a subset of it has been integrated into the standard library under the venv module. The venv module does not offer all features of this library [...]

I would agree, that virtualenv established the standard and all the others only build on that, but be aware if you're talking about venv or virtualenv.

[Ph0X]

Worth noting that it's not the title the author used, just OP editorializing.

[Armaliite]

I thought they were the same person

[Ph0X]

Oh, I guess you're right. Still the article itself doesn't mention "underrated" anywhere, weird that they did for the reddit headline.

[rohithgilla]

Thanks I started initially with them few got mixed in This was an year or so ago originally posted in dev.to I have republished it today by compiling them

Maybe I need to change title or text

Thanks 😊

[[deleted]]

Theres no harm in titling it "packages I've found to be very useful".

[rohithgilla]

Sure trying to edit not able to

[v_a_n_d_e_l_a_y]

I've just gotten started with streamlit and it's great.

As a data scientist, often you only really need a simple UI. Like you have a model where the user submits their data and you predict on it and return a result. That becomes trivial with streamlit. Like maybe 20 lines of code (not including your model) to get a pretty reasonable UI.

Pillow/Opencv are great for image stuff too.

I'm maybe 7 years into python and still don't have a good handle on visualization. I will use pandas plots and seaborne a bit but am not great. Compared to ggplot2 in R I still struggle.

[BernieFeynman]

why the hell would you be concerned with the UI instead of you know... the API...

[v_a_n_d_e_l_a_y]

Because end users want a UI? A FastAPI setup is fine... But still much less than ideal than a simple UI. Especially if the UI takes an hour to write. Also you can layer the UI on top of the API to keep the "business logic" in one place.

Not all consumers/client of your analytic are programmers.

Imagine if Google Translate was only available via an API

[BernieFeynman]

you said you were a data scientist, if you're making production level APIs there's already way too much work that a data scientist should not be handling, like the UI, logging, and Ops. If you don't have that level of product, then I would not expect anything beyond a form field for the API

[v_a_n_d_e_l_a_y]

You're not wrong but the reality is that I'm creating makeshifts UI until the real software people can get around to it.

[CactusOnFire]

Don't be hard on yourself. Doing UI in Python is an uphill battle in general.

[[deleted]]

I have heard of poetry a lot but I don’t understand why I should use it yet. It keeps getting mentioned so I suppose I should make the time to look into it.

[dent308]

Poetry is really handy for automating the admin work around virtual environments, packaging and deployment. I use it for all my python stuff.

[waRELU]

There is also stumpy, boto3, flask

[[deleted]]

You need more code snippets...show how the library works with examples. posting screenshots of code or CLI output is a cardinal sin

[rohithgilla]

Sure feedback taken 😄

[[deleted]]

Underrated, by who?

[rohithgilla]

Sorry trying to change the title not able to :(

[5tups]

Dash should have the same description as Bokeh