What would be a standard modern python workflow?
I am working on linux, mainly using python for scripting and machine learning.
I am wondering if there is a standard workflow for python developers as of 2017.
Among others are these considered standard/widely used, why, and how?
* Virtual Environments / Virtual Environments Wrappers
* Alternative Interpreters / Notebooks (like ipython/jupyter)
* conda package manager and environments
* Version control
* Others...
What are you guys using ?
PS: Just found [this example](http://tdhopper.com.s3-website-us-east-1.amazonaws.com/conda/). Wondering if it is still up to date..
/r/Python
https://redd.it/7dqqu0
I am working on linux, mainly using python for scripting and machine learning.
I am wondering if there is a standard workflow for python developers as of 2017.
Among others are these considered standard/widely used, why, and how?
* Virtual Environments / Virtual Environments Wrappers
* Alternative Interpreters / Notebooks (like ipython/jupyter)
* conda package manager and environments
* Version control
* Others...
What are you guys using ?
PS: Just found [this example](http://tdhopper.com.s3-website-us-east-1.amazonaws.com/conda/). Wondering if it is still up to date..
/r/Python
https://redd.it/7dqqu0
tdhopper.com by Tim Hopper
My Python Environment Workflow with Conda
How Conda Environments for managing and reproducing dependencies have helped me streamline data science research.
Is it against best practice to have multiple stylesheets?
Currently have 7 routes in my application and for each template I am inhereting a base layout and then importing a stylesheet unique to that template. Would it be a better practice to condense those style sheets into one style.css file? Or is it acceptable to use multiple?
The reason I have multiple is because some class names are identical with different attributes for each template.
/r/flask
https://redd.it/7cw8le
Currently have 7 routes in my application and for each template I am inhereting a base layout and then importing a stylesheet unique to that template. Would it be a better practice to condense those style sheets into one style.css file? Or is it acceptable to use multiple?
The reason I have multiple is because some class names are identical with different attributes for each template.
/r/flask
https://redd.it/7cw8le
reddit
Is it against best practice to have multiple stylesheets? • r/flask
Currently have 7 routes in my application and for each template I am inhereting a base layout and then importing a stylesheet unique to that...
How to access custom setting from within main?
I am writing up a project with a file that contains some helpful functions to be used in the project. Some of these functions require access to a setting (API_KEY) that I put in `settings.py`. When I try to access this setting, I always get the following error:
AttributeError: module 'django.conf.global_settings' has no attribute 'API_KEY'
I *do* have access to *global* settings, but not the project-specific settings. E.g., in my project, I have DEBUG set to `True` and when I enter `settings.DEBUG` I am getting back `False`.
Here's the code I used to try to access it from within my file that is in the app folder (the project is called X and this is in X/Y/utils.py, where Y is the app name):
from django.conf import settings
if __name__ == "__main__":
import django
if not settings.configured:
settings.configure()
django.setup()
print(settings.API_KEY)
Note the above was written partly with the help of SO:
https://stackoverflow.com/questions/7867797/how-do-i-reference-a-django-settings-variable-in-my-models-py
https://stackoverflow.com/questions/32063881/django-python-manage-py-runserver-runtimeerror-settings-already-configured
/r/django
https://redd.it/7dye6a
I am writing up a project with a file that contains some helpful functions to be used in the project. Some of these functions require access to a setting (API_KEY) that I put in `settings.py`. When I try to access this setting, I always get the following error:
AttributeError: module 'django.conf.global_settings' has no attribute 'API_KEY'
I *do* have access to *global* settings, but not the project-specific settings. E.g., in my project, I have DEBUG set to `True` and when I enter `settings.DEBUG` I am getting back `False`.
Here's the code I used to try to access it from within my file that is in the app folder (the project is called X and this is in X/Y/utils.py, where Y is the app name):
from django.conf import settings
if __name__ == "__main__":
import django
if not settings.configured:
settings.configure()
django.setup()
print(settings.API_KEY)
Note the above was written partly with the help of SO:
https://stackoverflow.com/questions/7867797/how-do-i-reference-a-django-settings-variable-in-my-models-py
https://stackoverflow.com/questions/32063881/django-python-manage-py-runserver-runtimeerror-settings-already-configured
/r/django
https://redd.it/7dye6a
Stack Overflow
How do I reference a Django settings variable in my models.py?
This is a very beginner question. But I'm stumped. How do I reference a Django settings variable in my model.py?
NameError: name 'PRIVATE_DIR' is not defined
Also tried a lot of other stuff inc...
NameError: name 'PRIVATE_DIR' is not defined
Also tried a lot of other stuff inc...
[P] Fun Project: MSpaint to Terrain Map with GAN
I tried a fun little project to explore some of the possibilities of GANs and the results came out pretty good so I figured I'd share. The goal was to create a network which can take extremely simple images composed of various color regions (where each color corresponds to a particular type of terrain) and generate a realistic looking terrain map. The inputs being the sort of image an average human with no artistic ability could reasonably sketch out in MSpaint.
The GAN is based on AffineLayer's "pix2pix" code with a variety of changes. Primarily I increased the image size to 512x512 pixels and wrote completely new network structures. The generator is composed of an encoder/decoder pair which are mirrored 25 layer ResNets with skip connections between them. The generator loss was skewed strongly toward fooling the discrimintor to emphasize creating completely new terrain features rather than recreating the original image.
I used a terrain map of the entire Earth and randomly sampled 512x512 crops to generate my ground truth set. To create the seed images, these crops were quantized to a color palette of 5 colors and successive mode filters were applied to simplify the features. Each of the five colors corresponded with a different terrain type (blue - water, grey - mountains, green - forest/jungle, yellow - grassland/desert, brown - hills/badlands). In total, about 1300 image pairs were created that spanned the entire globe. The network was trained on these pairs for about 450 epochs (more or less a full day on a gtx1070) before it reached a point that I was happy with the results.
Now for the fun part: pictures. I've posted several image sets below. Each set is based on a single seed image which I drew in MSpaint with the various color regions recolored in different ways to show how the generator adapts the same image structure with different colorings. Notice how the network is able to invent features like lakes and rivers and islands. It also learned to handle the features of color regions and their transitions differently based on overall context.
https://imgur.com/a/mCJrA
https://imgur.com/a/OgY7k
https://imgur.com/a/hROZJ
https://imgur.com/a/nIYkp
Let me know if you have any questions.
/r/MachineLearning
https://redd.it/7dwj1q
I tried a fun little project to explore some of the possibilities of GANs and the results came out pretty good so I figured I'd share. The goal was to create a network which can take extremely simple images composed of various color regions (where each color corresponds to a particular type of terrain) and generate a realistic looking terrain map. The inputs being the sort of image an average human with no artistic ability could reasonably sketch out in MSpaint.
The GAN is based on AffineLayer's "pix2pix" code with a variety of changes. Primarily I increased the image size to 512x512 pixels and wrote completely new network structures. The generator is composed of an encoder/decoder pair which are mirrored 25 layer ResNets with skip connections between them. The generator loss was skewed strongly toward fooling the discrimintor to emphasize creating completely new terrain features rather than recreating the original image.
I used a terrain map of the entire Earth and randomly sampled 512x512 crops to generate my ground truth set. To create the seed images, these crops were quantized to a color palette of 5 colors and successive mode filters were applied to simplify the features. Each of the five colors corresponded with a different terrain type (blue - water, grey - mountains, green - forest/jungle, yellow - grassland/desert, brown - hills/badlands). In total, about 1300 image pairs were created that spanned the entire globe. The network was trained on these pairs for about 450 epochs (more or less a full day on a gtx1070) before it reached a point that I was happy with the results.
Now for the fun part: pictures. I've posted several image sets below. Each set is based on a single seed image which I drew in MSpaint with the various color regions recolored in different ways to show how the generator adapts the same image structure with different colorings. Notice how the network is able to invent features like lakes and rivers and islands. It also learned to handle the features of color regions and their transitions differently based on overall context.
https://imgur.com/a/mCJrA
https://imgur.com/a/OgY7k
https://imgur.com/a/hROZJ
https://imgur.com/a/nIYkp
Let me know if you have any questions.
/r/MachineLearning
https://redd.it/7dwj1q
Imgur
Imgur: The most awesome images on the Internet
Imgur: The most awesome images on the Internet.
Analyzing 1000+ Greek Wines With Python
https://tselai.com/greek-wines-analysis.html?utm_source=Reddit&utm_campaign=flo_post
/r/Python
https://redd.it/7dwrk5
https://tselai.com/greek-wines-analysis.html?utm_source=Reddit&utm_campaign=flo_post
/r/Python
https://redd.it/7dwrk5
Tselai
Analyzing 1000+ Greek Wines With Python | Florents Tselai
Ordering of signals with m2m_changed
Hi everyone,
I've got an issue with my custom signals interacting with m2m_changed. It's frustrating because I've found little documentation on it.
I have a m2m_changed signal which triggers on any change on a specific model. I also have my own signal which should send an e-mail but unfortunately it triggers before the many-to-many field has been updated and thus giving me the wrong info to send in an e-mail.
I know it's not a good practice to rely on signal ordering but I'd really appreciate if you had any advice on this.
/r/django
https://redd.it/7dtjgf
Hi everyone,
I've got an issue with my custom signals interacting with m2m_changed. It's frustrating because I've found little documentation on it.
I have a m2m_changed signal which triggers on any change on a specific model. I also have my own signal which should send an e-mail but unfortunately it triggers before the many-to-many field has been updated and thus giving me the wrong info to send in an e-mail.
I know it's not a good practice to rely on signal ordering but I'd really appreciate if you had any advice on this.
/r/django
https://redd.it/7dtjgf
reddit
Ordering of signals with m2m_changed • r/django
Hi everyone, I've got an issue with my custom signals interacting with m2m_changed. It's frustrating because I've found little documentation on...
What is the best way to install Python 3.6 on Ubuntu 16.04.1?
What is the best and most compatible way to install Python 3.6.x on Ubuntu 16.04? Should I just grab the source and install to /usr/local?
/r/Python
https://redd.it/7e08sv
What is the best and most compatible way to install Python 3.6.x on Ubuntu 16.04? Should I just grab the source and install to /usr/local?
/r/Python
https://redd.it/7e08sv
reddit
What is the best way to install Python 3.6 on Ubuntu... • r/Python
What is the best and most compatible way to install Python 3.6.x on Ubuntu 16.04? Should I just grab the source and install to /usr/local?
I am brand spanking new to Python. Would like to know some of the best places to hang out online to get insight and just read about general things from developers. That is the best way to learn I’ve seen.
/r/Python
https://redd.it/7e0646
/r/Python
https://redd.it/7e0646
reddit
I am brand spanking new to Python. Would like to know... • r/Python
22 points and 16 comments so far on reddit
I want to submit code for others to use, where/how?
I am studying numpy and the function genfromtxt only works with ASCII which sucks for our utf-8 era, IMHO. So I wrote my version of the function compatible with utf-8 (not as cool as the original one but does the trick) how do I post it online for others to use and improve? I guess it should go in github, but how? Also how do I specify the version of Python and numpy there? Also my code is noob code so it could have crappy code. I tried to program it as good as I could but... You know, noobs...
/r/Python
https://redd.it/7e17g2
I am studying numpy and the function genfromtxt only works with ASCII which sucks for our utf-8 era, IMHO. So I wrote my version of the function compatible with utf-8 (not as cool as the original one but does the trick) how do I post it online for others to use and improve? I guess it should go in github, but how? Also how do I specify the version of Python and numpy there? Also my code is noob code so it could have crappy code. I tried to program it as good as I could but... You know, noobs...
/r/Python
https://redd.it/7e17g2
reddit
I want to submit code for others to use, where/how? • r/Python
I am studying numpy and the function genfromtxt only works with ASCII which sucks for our utf-8 era, IMHO. So I wrote my version of the function...
Paul Ross - Here be Dragons - Writing Safe C Extensions - PyCon 2016
https://www.youtube.com/watch?v=Yq__HtUIH5Y
/r/Python
https://redd.it/7e2ei9
https://www.youtube.com/watch?v=Yq__HtUIH5Y
/r/Python
https://redd.it/7e2ei9
YouTube
Paul Ross - Here be Dragons - Writing Safe C Extensions - PyCon 2016
Speaker: Paul Ross
Writing Python Extensions can be daunting. This talk de-mystifies what you need to know to write reliable and blazingly fast Pythonic C code.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016…
Writing Python Extensions can be daunting. This talk de-mystifies what you need to know to write reliable and blazingly fast Pythonic C code.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016…
If I write & complete a Django web application can I then write a REST API for it?
I am completely new to Django & web development in general and I was wondering about it. Can I create my app first and when it is complete write an API on top of it? Or should I account for the API while I am developing the app?
Thank you in advance.
/r/django
https://redd.it/7e1r6x
I am completely new to Django & web development in general and I was wondering about it. Can I create my app first and when it is complete write an API on top of it? Or should I account for the API while I am developing the app?
Thank you in advance.
/r/django
https://redd.it/7e1r6x
reddit
If I write & complete a Django web application can I... • r/django
I am completely new to Django & web development in general and I was wondering about it. Can I create my app first and when it is complete write...
uploading files to amazon s3
Can anyone give me a walkthrough of cors and policy setup on s3?
I've followed the default tutorials for settings up the AWS settings such as access key, bucket name, with boto and storages.
Collectstatic works fine but whenever logged in to a user account to say upload a profile image it says that the bucket is read-only a 500 error is hit.
My forms work fine everything is fine on local. Just an AWS issue moving to production.
Ideally, only users from the website would be able to upload images. SO, not allowing open access.
/r/django
https://redd.it/7e5vlw
Can anyone give me a walkthrough of cors and policy setup on s3?
I've followed the default tutorials for settings up the AWS settings such as access key, bucket name, with boto and storages.
Collectstatic works fine but whenever logged in to a user account to say upload a profile image it says that the bucket is read-only a 500 error is hit.
My forms work fine everything is fine on local. Just an AWS issue moving to production.
Ideally, only users from the website would be able to upload images. SO, not allowing open access.
/r/django
https://redd.it/7e5vlw
reddit
uploading files to amazon s3 • r/django
Can anyone give me a walkthrough of cors and policy setup on s3? I've followed the default tutorials for settings up the AWS settings such as...
How do I customize a user registration form so it only requires email and password fields?
I'm following this [tutorial](https://simpleisbetterthancomplex.com/tutorial/2017/02/18/how-to-create-user-sign-up-view.html) on making simple registration forms in Django. I'd like to make a user registration form that requires only two fields: "Email" and "Password." No second password field, just one.
So far, My `views.py` looks like this:
def register(request, template="register.html", redirect='/'):
if request.method=="POST":
form= RegisterForm(request.POST)
if form.is_valid():
form.save()
email= form.cleaned_data.get("email")
raw_password= form.cleaned_data.get("password1")
user= authenticate(email=email, password=raw_password)
login(request, user)
return redirect('/')
else:
form= RegisterForm()
return render(request, template, {"form": form})
`forms.py` has this class in it:
class RegisterForm(UserCreationForm):
email= forms.EmailField(label=_("Email"), max_length=254)
class Meta:
model= User
fields= ("email",)
`register.html` looks simple:
{% extends "base.html" %}
{% block main %}
<h2>Register</h2>
<form method="post">
{% csrf_token %}
{{ form.as_p }}
<button type="submit">Register</button>
</form>
{% endblock main %}
In `urls.py`, I have this line in `urlpatterns`: `url("^register/$", views.register, name="register"),`.
But my registration forms looks like this, with an Email field and two Password fields: http://i.imgur.com/b359A5Z.png. And if I fill out all three fields and hit "Register," I get this error: `UNIQUE constraint failed: auth_user.username`.
Any idea why I'm getting this error? And how can I make sure my form only has two fields: Email and Password?
/r/django
https://redd.it/7e5rxp
I'm following this [tutorial](https://simpleisbetterthancomplex.com/tutorial/2017/02/18/how-to-create-user-sign-up-view.html) on making simple registration forms in Django. I'd like to make a user registration form that requires only two fields: "Email" and "Password." No second password field, just one.
So far, My `views.py` looks like this:
def register(request, template="register.html", redirect='/'):
if request.method=="POST":
form= RegisterForm(request.POST)
if form.is_valid():
form.save()
email= form.cleaned_data.get("email")
raw_password= form.cleaned_data.get("password1")
user= authenticate(email=email, password=raw_password)
login(request, user)
return redirect('/')
else:
form= RegisterForm()
return render(request, template, {"form": form})
`forms.py` has this class in it:
class RegisterForm(UserCreationForm):
email= forms.EmailField(label=_("Email"), max_length=254)
class Meta:
model= User
fields= ("email",)
`register.html` looks simple:
{% extends "base.html" %}
{% block main %}
<h2>Register</h2>
<form method="post">
{% csrf_token %}
{{ form.as_p }}
<button type="submit">Register</button>
</form>
{% endblock main %}
In `urls.py`, I have this line in `urlpatterns`: `url("^register/$", views.register, name="register"),`.
But my registration forms looks like this, with an Email field and two Password fields: http://i.imgur.com/b359A5Z.png. And if I fill out all three fields and hit "Register," I get this error: `UNIQUE constraint failed: auth_user.username`.
Any idea why I'm getting this error? And how can I make sure my form only has two fields: Email and Password?
/r/django
https://redd.it/7e5rxp
Simple is Better Than Complex
How to Create User Sign Up View
In this tutorial I will cover a few strategies to create Django user sign up/registration. Usually I implement it fromscratch. You will see it’s very straightforward.
How do I edge detect a live video with Canny edge detection?
I'm using python, and I'm kinda new as well.
Does anyone have a method for OpenCV live video feed edge detection?
Thanks
/r/Python
https://redd.it/7e5glv
I'm using python, and I'm kinda new as well.
Does anyone have a method for OpenCV live video feed edge detection?
Thanks
/r/Python
https://redd.it/7e5glv
reddit
How do I edge detect a live video with Canny edge... • r/Python
I'm using python, and I'm kinda new as well. Does anyone have a method for OpenCV live video feed edge detection? Thanks
[D] Machine Learning - WAYR (What Are You Reading) - Week 36
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|31-40|
|----|-----|-----|-----|
|[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 31](https://www.reddit.com/r/MachineLearning/comments/6s0k1u/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 32](https://www.reddit.com/r/MachineLearning/comments/72ab5y/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 33](https://www.reddit.com/r/MachineLearning/comments/75405d/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 34](https://www.reddit.com/r/MachineLearning/comments/782js9/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 25](https://www.reddit.com/r/MachineLearning/comments/69teiz/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 35](https://www.reddit.com/r/MachineLearning/comments/7b0av0/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 26](https://www.reddit.com/r/MachineLearning/comments/6d7nb1/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 27](https://www.reddit.com/r/MachineLearning/comments/6gngwc/d_machine_learning_wayr_what_are_you_reading_week/)||
|[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 28](https://www.reddit.com/r/MachineLearning/comments/6jgdva/d_machine_lear
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|31-40|
|----|-----|-----|-----|
|[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 31](https://www.reddit.com/r/MachineLearning/comments/6s0k1u/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 32](https://www.reddit.com/r/MachineLearning/comments/72ab5y/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 33](https://www.reddit.com/r/MachineLearning/comments/75405d/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 34](https://www.reddit.com/r/MachineLearning/comments/782js9/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 25](https://www.reddit.com/r/MachineLearning/comments/69teiz/d_machine_learning_wayr_what_are_you_reading_week/)|[Week 35](https://www.reddit.com/r/MachineLearning/comments/7b0av0/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 26](https://www.reddit.com/r/MachineLearning/comments/6d7nb1/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 27](https://www.reddit.com/r/MachineLearning/comments/6gngwc/d_machine_learning_wayr_what_are_you_reading_week/)||
|[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 28](https://www.reddit.com/r/MachineLearning/comments/6jgdva/d_machine_lear
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From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
ning_wayr_what_are_you_reading_week/)||
|[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 29](https://www.reddit.com/r/MachineLearning/comments/6m9l1v/d_machine_learning_wayr_what_are_you_reading_week/)||
|[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/)|[Week 30](https://www.reddit.com/r/MachineLearning/comments/6p3ha7/d_machine_learning_wayr_what_are_you_reading_week/)||
Most upvoted papers two weeks ago:
/u/Schmogel: http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/en/
/u/hypertiger1: [Machine Learning for Trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3015609)
/u/OctThe16th: https://arxiv.org/abs/1710.02298
Besides that, there are no rules, have fun.
/r/MachineLearning
https://redd.it/7e3fx6
|[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 29](https://www.reddit.com/r/MachineLearning/comments/6m9l1v/d_machine_learning_wayr_what_are_you_reading_week/)||
|[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/)|[Week 30](https://www.reddit.com/r/MachineLearning/comments/6p3ha7/d_machine_learning_wayr_what_are_you_reading_week/)||
Most upvoted papers two weeks ago:
/u/Schmogel: http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/en/
/u/hypertiger1: [Machine Learning for Trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3015609)
/u/OctThe16th: https://arxiv.org/abs/1710.02298
Besides that, there are no rules, have fun.
/r/MachineLearning
https://redd.it/7e3fx6
reddit
Machine Learning - WAYR (What Are You Reading) - Week 9
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...
[AF] New to Flask. Best ways to deploy to EC2?
I'm pretty new to Flask overall. I recently converted a basic site of mine to use (basic) Flask. I was curious about the best/easiest ways to deploy a Flask app to EC2? I've heard Docker is an option, but I'm not exactly sure how it would work since I'm not super familiar with Docker. I've also heard that virtualenvs are a good (but not very simple?) method as well.
Anyways, any help is appreciated! Thanks!
**EDIT: Thanks for all of the suggestions everyone! I'm testing out AWS CodeStar right now. If that doesn't work I'll try Zappa or ELB!**
/r/flask
https://redd.it/7cpnrg
I'm pretty new to Flask overall. I recently converted a basic site of mine to use (basic) Flask. I was curious about the best/easiest ways to deploy a Flask app to EC2? I've heard Docker is an option, but I'm not exactly sure how it would work since I'm not super familiar with Docker. I've also heard that virtualenvs are a good (but not very simple?) method as well.
Anyways, any help is appreciated! Thanks!
**EDIT: Thanks for all of the suggestions everyone! I'm testing out AWS CodeStar right now. If that doesn't work I'll try Zappa or ELB!**
/r/flask
https://redd.it/7cpnrg
reddit
[AF] New to Flask. Best ways to deploy to EC2? • r/flask
I'm pretty new to Flask overall. I recently converted a basic site of mine to use (basic) Flask. I was curious about the best/easiest ways to...