Building a Financial Model with Pandas - Version 2
http://pbpython.com/amortization-model-revised.html

/r/Python
https://redd.it/5j6jcg

Using model in view/api functions bad practice?

Is using say, the User model like this:

User.query.filter_by(id=0).first()
In the functions which define the endpoints bad practice? Should I make methods in the model to get the things I need?

/r/flask
https://redd.it/5ja1j8

Bayesian Survival Analysis in Python with pymc3
http://austinrochford.com/posts/2015-10-05-bayes-survival.html

/r/pystats
https://redd.it/4f6fnp

Creating tables of values with python


###edit

id like to use this in ipython notebook if that makes a difference

******

I'm not sure if this is the best place for this question or not but I figured it
might be pandas related or something and someone here would know...


Basically I'm wondering what the best way to generate and display something such
as

t : 1, 2, 3, 4...
-----------------------
x = 2t : 2, 4, 6, 8...
-----------------------
y = 5/t : 5, 5/2, 5/3, 5/4...


Hopefully that's clearly a table of values :)

cheers


/r/pystats
https://redd.it/4f70co

[R] Yes you should understand backprop
https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b

/r/MachineLearning
https://redd.it/5ja7nq

Build Marvin the Depressed Reddit Bot in Python
http://pythonforengineers.com/build-marvin-the-depressed-reddit-bot-in-python/

/r/Python
https://redd.it/5j98z0

Wagtail CMS on Divio Cloud, complete with live and test servers and Dockerised local development environment
https://www.youtube.com/watch?v=MVnK1xn4H9M

/r/django
https://redd.it/5jcx63

No programming experience. Big ideas. How to get started?

I've got some "big data" ideas that I want to begin to explore, but my last programming experience was building HTML-based web-pages in high school. I've fooled around with "R" a little bit as well.

What is the best way to teach myself how to be a iPython ninja?

/r/IPython
https://redd.it/4u8o21

Does anyone know how to set specific vim-bindings in Ipython 5.0.0?

I have activated vim-like bindings in the profile configuration file, but I would like to set specific keybindings (like 'jk' for escape). Any ideas?

/r/IPython
https://redd.it/4tq7te

Tutorial: working with missing data in Python
http://nbviewer.jupyter.org/github/ResidentMario/python-missing-data/blob/master/missing-data.ipynb

/r/pystats
https://redd.it/4eh4va

BuzzFeedNews/Detecting Match Fixing in Tennis Matches (Open Data Journalism)
https://github.com/BuzzFeedNews/2016-01-tennis-betting-analysis/blob/master/notebooks/tennis-analysis.ipynb

/r/JupyterNotebooks
https://redd.it/4d2ouo

JupyterLab: the next generation of the Jupyter Notebook
http://blog.jupyter.org/2016/07/14/jupyter-lab-alpha/

/r/IPython
https://redd.it/4szoix

Kalman and Bayesian Filters in Python
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python

/r/JupyterNotebooks
https://redd.it/4aw2wh

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/5jdewv

[D] What are current relations between (algebraic) topology and deep learning?

I am a graduate student in AI with an undergrad in pure math (algebraic topology, abstract algebra, PDEs). Currently I am working a lot on deep learning - especially manifold learning and nonlinear embeddings. Since finding a mapping on a nonlinear sub manifold and the normally unknown network architecture are closely linked I asked myself, if there is a connection between the topological properties of the map/diffeomorphism generated by a DNN and it's capabilities to learn certain things. I found this introduction on colah's blog and I also started to read on the methodology of Gunnar Carlson's topological data analysis. However, colah's blog gives me the idea where the journey could head to and Carlson's way is not really connected to research on DNN (in terms of learning diffeomorphism of your data) - as far as I see it. But I am stuck finding deeper literature on that. Can you give any recommendation for papers or introductory work on this boundary? Everything bringing together the topology of neural networks, group theory and algebraization (e.g. using functors such as chain complexes or homotopy) would really interest me.

/r/MachineLearning
https://redd.it/5jfaox

Top 10 Python libraries of 2016
https://tryolabs.com/blog/2016/12/20/top-10-python-libraries-of-2016/

/r/Python
https://redd.it/5jf64k

JupyterLab Building Blocks for Interactive Computing | SciPy 2016 | Brian Granger
https://www.youtube.com/watch?v=Ejh0ftSjk6g

/r/IPython
https://redd.it/4t0due

Django, fast: part 3
https://blog.mirumee.com/django-fast-part-3-a02da6f12418

/r/django
https://redd.it/5jd7vu

Statistics for Software: Instrumenting Code for Reliability and Performance
https://www.paypal-engineering.com/2016/04/11/statistics-for-software/

/r/pystats
https://redd.it/4ecj6q

Solving a nonlinear ordinary differential equation
http://nbviewer.jupyter.org/github/Jabberwockyll/NumericalODE/blob/master/numerical_ode.ipynb

/r/JupyterNotebooks
https://redd.it/4awf63