Pandas 0.20 released
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-20-1-may-5-2017

/r/Python
https://redd.it/6a19cl

django-cruds-adminlte 0.0.4 is out
https://pypi.python.org/pypi/django-cruds-adminlte

/r/django
https://redd.it/6a4nos

What's everyone working on this week?

Tell /r/python what you're working on this week! You can be bragging, grousing, sharing your passion, or explaining your pain. Talk about your current project or your pet project; whatever you want to share.


/r/Python
https://redd.it/6a5m37

Hiring | Simons Foundation | Full Stack Software Engineer | Onsite/Full time | New York City, NY

Simons Foundation is looking for a passionate Full Stack Software Engineer!

Simons Foundation exists to support basic - or discovery-driven - scientific research. We do this through direct grants in four areas: Mathematics and Physical Sciences, Life Sciences, Autism Research (SFARI), and Education & Outreach. This is only a quick blurb of what we do! If you want to find out more, please visit www.simonsfoundation.org. I'm certain you'll be interested!

This role specifically is for my team. We're a small (9) team of passionate engineers. You'll be joining a yet young project creating Software critical to Simons Foundation's mission.

What we're looking for: Passion (aka desire/enthusiasm, not any sort of JS library), Design Patterns, Python, Django, React, Single Page App experience, webpack, APIs.

If you're interested, please either reach out to me (the hiring manager) @ sford@simonsfoundation.org, or apply directly below.

https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/160-Fifth-Avenue/Software-Engineer_R0000050.

/r/django
https://redd.it/6a52js

Zero to hero with Python
https://www.youtube.com/watch?v=zh9NgGf3cxU&index=15&list=PL1Z_7yg6Pa3CURAEFLwzXRYrhGcQskRhY

/r/Python
https://redd.it/6a3jrj

nbmerge: merge / concatenate Jupyter notebooks
https://github.com/jbn/nbmerge

/r/IPython
https://redd.it/6a5ele

4 Python libraries for building great command-line user interfaces
https://opensource.com/article/17/5/4-practical-python-libraries

/r/Python
https://redd.it/6a67l7

Hey Python/pandas users. Check this out. I've used this as part of my day-to-day workflow since it was released a couple months ago and I'm hooked. It's a better way to store, retrieve, and explore my data in a way that's seamlessly integrated with my preferred analysis environment (Python).


https://data.world/nrippner/explore-the-data-world-python-sdk/file/ddw_SDK.ipynb
or, to look at notebook without data.world account:
https://github.com/nrippner/misc/blob/master/ddw_SDK.ipynb

/r/pystats
https://redd.it/6a7rnd

Requests per second with database query

I am trying to get a sense of performance based on my set up because I feel like I am way under performing.

I have a flask container on AWS ECS with 1024Cpu Units and 2GB of memory.

The containerized app uses uwsgi and nginx.

The query I am running is a sql-alchemy pagianted query with a page size of 20. Running this same query from SequelPro takes 109ms. This is against a remote Aurora RDS.

However when load testing this endpoint (with 2 containers under an ELB) the requests per second is hardly double digits. Is this just a symptom of having a remote db and small hardware profile on the container?

/r/flask
https://redd.it/6a79u3

[D] Machine Learning - WAYR (What Are You Reading) - Week 25

This is a place to share machine learning research papers, journals, and articles that you're reading this week. If it relates to what you're researching, by all means elaborate and give us your insight, otherwise it could just be an interesting paper you've read.

Please try to provide some insight from your understanding and please don't post things which are present in wiki.

Preferably you should link the arxiv page (not the PDF, you can easily access the PDF from the summary page but not the other way around) or any other pertinent links.

Previous weeks :

|1-10|11-20|21-30|
|----|-----|-----|
|[Week 1](https://www.reddit.com/r/MachineLearning/comments/4qyjiq/machine_learning_wayr_what_are_you_reading_week_1/)|[Week 11](https://www.reddit.com/r/MachineLearning/comments/57xw56/discussion_machine_learning_wayr_what_are_you/)|[Week 21](https://www.reddit.com/r/MachineLearning/comments/60ildf/d_machine_learning_wayr_what_are_you_reading_week/)|
|[Week 2](https://www.reddit.com/r/MachineLearning/comments/4s2xqm/machine_learning_wayr_what_are_you_reading_week_2/)|[Week 12](https://www.reddit.com/r/MachineLearning/comments/5acb1t/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 22](https://www.reddit.com/r/MachineLearning/comments/64jwde/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 3](https://www.reddit.com/r/MachineLearning/comments/4t7mqm/machine_learning_wayr_what_are_you_reading_week_3/)|[Week 13](https://www.reddit.com/r/MachineLearning/comments/5cwfb6/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 23](https://www.reddit.com/r/MachineLearning/comments/674331/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 4](https://www.reddit.com/r/MachineLearning/comments/4ub2kw/machine_learning_wayr_what_are_you_reading_week_4/)|[Week 14](https://www.reddit.com/r/MachineLearning/comments/5fc5mh/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 24](https://www.reddit.com/r/MachineLearning/comments/68hhhb/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 5](https://www.reddit.com/r/MachineLearning/comments/4xomf7/machine_learning_wayr_what_are_you_reading_week_5/)|[Week 15](https://www.reddit.com/r/MachineLearning/comments/5hy4ur/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 6](https://www.reddit.com/r/MachineLearning/comments/4zcyvk/machine_learning_wayr_what_are_you_reading_week_6/)|[Week 16](https://www.reddit.com/r/MachineLearning/comments/5kd6vd/d_machine_learning_wayr_what_are_you_reading_week/)||
|[Week 7](https://www.reddit.com/r/MachineLearning/comments/52t6mo/machine_learning_wayr_what_are_you_reading_week_7/)|[Week 17](https://www.reddit.com/r/MachineLearning/comments/5ob7dx/discussion_machine_learning_wayr_what_are_you/)||
|[Week 8](https://www.reddit.com/r/MachineLearning/comments/53heol/machine_learning_wayr_what_are_you_reading_week_8/)|[Week 18](https://www.reddit.com/r/MachineLearning/comments/5r14yd/discussion_machine_learning_wayr_what_are_you/)||
|[Week 9](https://www.reddit.com/r/MachineLearning/comments/54kvsu/machine_learning_wayr_what_are_you_reading_week_9/)|[Week 19](https://www.reddit.com/r/MachineLearning/comments/5tt9cz/discussion_machine_learning_wayr_what_are_you/)||
|[Week 10](https://www.reddit.com/r/MachineLearning/comments/56s2oa/discussion_machine_learning_wayr_what_are_you/)|[Week 20](https://www.reddit.com/r/MachineLearning/comments/5wh2wb/d_machine_learning_wayr_what_are_you_reading_week/)||

Most upvoted papers two weeks ago:

/u/whenmaster: https://arxiv.org/abs/1701.07875v2

/u/nicrob355982: https://arxiv.org/abs/1507.04808

Besides that, there are no rules, have fun.

Hey, seems there was a little hiccup where last week's WAYR post wasn't stickied, so I'm going to change the bot to post every other week.

/r/MachineLearning
https://redd.it/69teiz

Looking for resources for deserializing JSON into multiple models

I'm very new to both python and Django and am having difficulty finding the right documentation to work through my current problem.

I am trying to take JSON from a url and commit it to a database. For the example below I would like to commit "name", "type", and "level" to a model called Items and all of the details to a model called ItemDetails.

[
{
"name": "Abomination Hammer",
"type": "Weapon",
"level": 0,
"rarity": "Fine",
"vendor_value": 0,
"default_skin": 5014,
"game_types": [
"Activity",
"Wvw",
"Dungeon",
"Pve"
],
"flags": [
"NoSell",
"SoulbindOnAcquire",
"SoulBindOnUse"
],
"restrictions": [],
"id": 15,
"chat_link": "[&AgEPAAAA]",
"details": {
"type": "Hammer",
"damage_type": "Physical",
"min_power": 146,
"max_power": 165,
"defense": 0,
"infusion_slots": [],
"infix_upgrade": {
"id": 112,
"attributes": []
},
"secondary_suffix_item_id": ""
}
}
]

So far the only way I've found to do it is to load the JSON from the url

def jsonload(url):
response = urllib.request.urlopen(url).read()
jsonstring = str(response, 'utf-8')
json_load = json.loads(jsonstring)
return json_load

Then loop through each item (like the one shown above) and save the fields I want to use.

i = Items(id=data.get('id'),
name=data.get('name'),
type=data.get('type'),
level=data.get('level'),
)
i.save()

From what I've been able to gather it seems like this is better suited for a deserializer, but I can't find anything about deserializing JSON from a url into multiple model classes.

/r/django
https://redd.it/6a7mq5

PyTree: Creating and drawing realistic trees!
https://github.com/PixelwarStudio/PyTree

/r/Python
https://redd.it/6a83dn

Pandas 0.20.1 Released
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-20-1-may-5-2017

/r/IPython
https://redd.it/6a70mn

Using DjangoQL with default search bar

There's a neat library called [DjangoQL](https://github.com/ivelum/djangoql) which I want to incorporate into my project. It replaces the standard search_fields search bar in the Admin with a very powerful query system.

However, I want my user to be able to use the normal search_fields most of the time, and only use the DjangoQL bar on occasion when the query functionality is really needed.

Is there some way that I could have there be two search bars, one DjangoQL and one search_fields? Or even better, to have an "advanced search" button which toggles/pulls up/etc the DjangoQL search bar?

Thanks so much!

/r/django
https://redd.it/6a9w07

Populate form field from ModelChoiceField with previously selected value

I'm trying to let my users edit a form they have previously created. All my form fields are being populated with their existing values with one exception. I have a ModelChoiceField that I'm unable to populate, it always shows the none value ("Select Client"). So my question is, how to I get this field populated when editing a form?

https://pastebin.com/3ACrHYpW

/r/django
https://redd.it/6a9ggq

An informal proof of Kleene's and Rice's theorems using Python
https://github.com/mapio/feeding-rice-to-the-snake

/r/JupyterNotebooks
https://redd.it/6a5ds4

Deployment best practices for secret key, environment variables, etc

I just spent days - DAYS - on my first real AWS EC2 deployment, all because I was setting environment variables on the production server and apparently that doesn't work. I finally figured it out and was able to deploy with my key and passwords hard-coded into my settings.py on the production server which, I assume, is not something I should be doing? But then Django docs say to use env vars or to import from a file, but that sounds just as insecure as hard coding it into settings.py, so maybe I'm overthinking this.

What the standard practice in production? Where do you put the secret key and, say, the email server password? When I search for environment variables + AWS EC2 there's a whole bunch of results I don't understand involving startup scripts and whatnot, which I'm not using at this point.

/r/djangolearning
https://redd.it/6a7wfy

Speedml is a Python package to speed start machine learning projects.
https://github.com/Speedml/speedml

/r/Python
https://redd.it/6aa57b

Looking for feedback on my first tutorial: How to deploy Django app on AWS (with Elastic Beanstalk)
https://codepal.herokuapp.com/deploying-django-app-on-aws-using-elastic-beanstalk/

/r/django
https://redd.it/6a6a1h

Worth the switch to Pycharm?

I've been using Emacs for a while to do things like stats in R (ESS), organizing my life (org-mode), and writing papers (auctex). So I've got quite a bit of investment in Emacs. I'm not a super-user by any means, but I can use it pretty efficiently.

Now that I'm starting to do a lot more Python development, I've heard over and over again how amazing Pycharm is. I have access to the full edition, so I'll be able to use it to its full potential. I am wondering about a few things, though, as well as the general "is it worth it?" question.

* How good is IdeaVim? I use spacemacs in Emacs, so I'm used to bopping around inside and between files with vim-style shortcuts.
* Is there an easy way to sync settings between machines? I do development on 2-3 different computers (home, work, laptop), and I'd like to keep everything synced up between the three.
* What are the killer features I should switch for?

EDIT new question:

* Is it possible to have machine-specific settings in addition to syncing general settings? For example, my laptop is super small, so I usually use a slightly smaller font size there so I can see a bit more code.
* I also want to start using Python for more of my data analysis. Does Pycharm work well for that, or should I use a different package for the stats stuff?

Thanks y'all.

/r/Python
https://redd.it/6ac5pk