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Jordi Warmenhoven JWarmenhoven

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@DanielWeitzenfeld
DanielWeitzenfeld / ordinal_pymc3_DBDA23.2.2.py
Created December 5, 2016 14:31
functional implementation of ordinal predicted variable
import seaborn as sns
import pymc3 as pm
import numpy as np
from scipy.stats import norm
import pandas as pd
import theano.tensor as T
from theano.compile.ops import as_op
# Generate True data
@Chaser324
Chaser324 / GitHub-Forking.md
Last active June 16, 2024 07:13
GitHub Standard Fork & Pull Request Workflow

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j