Thermopyle posted:

According to the forums search, I've posted in the current incarnation of this thread 242 times!

Bundy posted:

I meant I'm a newcomer!

Bundy posted:

An excellent free book I didn't see in the OP, good for newcomers to programming and Python specifically and teaches lots of idiomatic approaches that are useful even for the seasoned:

Think Python:
http://greenteapress.com/wp/think-python-2e/

Bundy posted:

The Clean Architecture in Python (also a nice watch for anyone interested in FP approaches in Python):
https://www.youtube.com/watch?v=DJtef410XaM

Thermopyle posted:

It's already there (search "Think Python"), but it links to the Python 2 version.

Hughmoris posted:

Thanks for this one!

Bundy posted:

Pendulum, the last datetime replacement you'll ever need:
https://pendulum.eustace.io/docs/#introduction

Thermopyle posted:

It's already there (search "Think Python"), but it links to the Python 2 version.

Mark Larson posted:

For someone coming from a SQL world, is there a quick guide to Python or Pandas somewhere for stuff like group by, order by, removing/adding/calculating columns? Maybe I'm asking for something extremely basic but it would be good to have a cheat sheet to quickly reference stuff I already do in SQL that I'd like to do in Python.

Bundy posted:

What does the following give you in your REPL?

code:

>>> import imp
>>> imp.find_module('cv2')

The cv2.pyd file is your module here. Do you have the relevant VC runtimes installed that the opencv wheel would have been built with? You probably want at least vcredist 2015, it's been a while since I've had to resolve any Windows dependencies.

Furism posted:

I have a newbie question. I guess it's more algorithmic than Python-specific but I do use Python.

I'm uploading files to a REST API. I can't do anything with the files while they are being processed so I need to wait for them to be before I can move to the next action I need to do with them. I could just put a "sleep" I guess but I think it's ugly and dirty and won't cover edge cases. For now what I do is this:

* Parse some directory with all the files
* Upload them one by one to the API. Each API calls sends a response with some JSON object that I store in an array.
* Now I want to iterate through that array and check for the status of each file. When the status changed from "processing" to "complete", do something and keep iterating until all the files' status is "complete."

At first I wanted to remove the current entry from the array, but I don't think I can modify an array while I'm moving through it (especially from within a loop?). So I was thinking of creating another array and fill it with the completed JSON objects as they get completed. But that means I'd have to potentially loop through the array an unknown amount of times. I feel that this way of doing it (I'm not even sure I explain it right) is correct.

What would be the best way to solve this little issue?

nonathlon posted:

What's a stable library for building a REST client?

IAmKale posted:

The de facto choice these days is still Django Rest Framework for Django. Aside from that you could use leaner alternatives like Flask or Falcon but in the end you just might end up writing a lot of functionality that comes out of the box with DRF.

Business posted:

Is Django very much Industry Standard in people's experience? I've been learning Flask as my first real framework project but I don't know if I should bother doing things that way. I'm honestly not knowledgeable enough to say whether the flexibility in database type matters for my project yet. What would be more useful to learn if I want to apply for industry jobs in a few years?

Rastor posted:

Wait REST server or REST client? Isn't a client basically just an HTTP client (such as requests) or am I missing something?

nonathlon posted:

Like I said, client. Sure, I could just use requests, but some syntactic sugar over the top would be a long way. And handling asynchronous requests.

nonathlon posted:

Like I said, client. Sure, I could just use requests, but some syntactic sugar over the top would be a long way. And handling asynchronous requests.

Foxfire_ posted:

Installing opencv is kind of a clusterfuck and I wouldn't really expect pip-ing it to work. From vague memories of the last time I did that, pip-ing it only installs the python wrapper, not opencv itself.

cv2.pyd is the dll with the python wrapper. It implicitly links to all the actual opencv dlls. Probably one or more of those is missing or not locateable.

Take dependency walker and open cv2.pyd with it. It will show you everything cv2.pyd tries to load, everything its immediate dependencies tries to load, etc... Every implicit load has to be satisfied or cv2.pyd will fail to load. Delay-loaded ones don't have to be satisfied (delay-load = the program tries to LoadLibrary() in some code path, which (A) may never actually be executed and (B) it can handle LoadLibrary() returning an error)

unpacked robinhood posted:

I have a simple list of items:

Python code:

items = [
    {"thermostat":14,"girth":30},
    {"carpet_cleaning":30,"girth":18},
    {"gas carpal":6,"girth":7},
    {"worthy": 8,"girth":11},
    {"nothing":"yes","girth":0},
    {"redundant":"yes","girth":0},
    {"zero":"void","girth":0}
]

How do I sort it by increasing girth value, except for zeroes which should be at the end in no particular order ?

I can do:

Python code:

sorted(items,key=lambda x:x['girth'])

Which gives;

code:

{'nothing': 'yes', 'girth': 0}
{'redundant': 'yes', 'girth': 0}
{'zero': 'void', 'girth': 0}
{'gas carpal': 6, 'girth': 7}
{'worthy': 8, 'girth': 11}
{'carpet_cleaning': 30, 'girth': 18}
{'thermostat': 14, 'girth': 30}

What I'd like is:

code:

{'gas carpal': 6, 'girth': 7}
{'worthy': 8, 'girth': 11}
{'carpet_cleaning': 30, 'girth': 18}
{'thermostat': 14, 'girth': 30}
{'nothing': 'yes', 'girth': 0}
{'redundant': 'yes', 'girth': 0}
{'zero': 'void', 'girth': 0}

Bundy posted:

TheFluff posted:

Python code:

sorted(items, key=lambda x: x['girth'] or 2**32)

Grump posted:

What's the best and most efficient way to deploy my Flask / MySQL API to a server nowadays? I basically just have a local MySQL server and Flask connecting to it with pymysql

Keep in mind I am very much a front-end developer, so I'd like to be spoken to as if I'm a child.

FWIW, I am definitely deploying with Linode if that makes a difference