GoCD is a continuous delivery tool supporting modern infrastructure with elastic on-demand agents and cloud deployments. With GoCD, you can easily model, orchestrate and visualize complex workflows from end to end. It’s open source, free to use and download.
Interview with none other then Wes McKinney of Pandas.
Turns out there are some optimizations you can do when compiling Python 3.5 and 3.6 that give you some significant speed improvements without any real downside. We've paired with with Google's base Debian image that rips out systemd and all it's dependencies which yields a MUCH smaller image.
This notebook covers the basics of probability theory, with Python 3 implementations. (You should have some background in probability and Python.)
It could be challenging to pick the right data visualization tool in Python. There are so many options available. Summarizing most common tools, then testing and comparing different techniques would help to pick the best fit and method for the needed visualization.
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Barebones bitcoin-like protocol implemented in Python 3.6.
This site shows Python 3 support for 360 most downloaded packages on PyPI.
Using user review data from Yelp, our aim was to develop a recommendation system to provide a new restaurant suggestion that a user might like. The project was motivated by the fact that recommendation problems are ubiquitious, including the infamous Netflix challenge and "similar items you might like" suggestions from Amazon. Given the diverse application of this problem, we wanted to learn how to develop and implement such system using machine learning.
Yesterday, Geoffrey released html5lib 1.0 ! The changes aren't wildly interesting.The more interesting part for me is how the release happened. I'm going to spend the rest of this post talking about that.
Those looking to manage / understand the workings behind becoming a maintainer of a open source project should read this.
Wallaroo is a high-performance, open-source framework for building distributed stateful applications.
On this episode of AI Adventures, find out what Kaggle Kernels are and how to get started using them. Though there’s no popcorn in this episode, but I can assure that Kaggle Kernels are popping!
Bitcoin is now mainstream. While the debate on whether it’s a speculative bubble or the greatest thing since the internet continues, one thing that is irrefutable is that it has attracted a significant amount of investor interest to cryptocurrency and digital assets.
This is just a quick post to show how you can use Facebook’s Prophet forecasting library in python to forecast bitcoin hourly bitcoin prices.
The pymatch Python package implements Propensity Score Matching (PSM) techniques intended for use with observational study designs. It was inspired by and adapted from Jasjeet Singh Sekhon’s Matching package in R. I wrote an adaptation in Python that is better suited for my work at Mozilla
curl cryptocurrencies exchange rates
A powerful testing tool for Kubernetes clusters.
A tool to describe the content of videos and suggest similar scenes in other videos/films.
a place to share things.
A collection of TensorPack implementations including pretrained models.
ZFS snapshot tool written in python