Logging from multiple processes.
Users finding bugs? Searching logs for errors? Find + fix broken code fast!
This is my first time writing blog post about anything Python related. I go over the differences and how to use CountVectorizer() and TfidfVectorizer() from sci-kit learn. I'd love to hear what you think.
Special guest Katie McLaughlin will answer your questions about emoji: unicode, compatibility, support, and more.
As a practical example, we show how you can take any standard neural network and turn it into a deep implicit model: simply inject noise into the hidden layers. The hidden units in these layers are now interpreted as latent variables. Further, the induced latent variables are astonishingly flexible, going beyond Gaussians (or exponential families (Ranganath, Tang, Charlin, & Blei, 2015)) to arbitrary probability distributions. Deep generative modeling could not be any simpler!
Cool Coffee Mugs for Python Developers. Check it out.
How to catch some TYPES of errors before they happen.
Remove the Manual Kinks in your CI/CD Pipeline 3 Use Cases of How Our DevOp Teams Automate Development
Staffjoy is shutting down, so we are open-sourcing our code. This version of our V1, intended for on-demand companies and call centers, has been heavily modified so that Staffjoy customers may continue using the software.
Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.
Consistent hash rings are beautiful structures, yet often poorly explained. Implementations tend to focus on clever language-specific tricks, and theoretical approaches insist on befuddling it with math and tangents irrelevant.
Python Editor With Live Syntax Checking and Execution
Simple neural network in Python
A tool and library for rotating your password on online services
Takes local OSX directory of images and uses Amazon Rekognition to tag them using OSX tags
A basic python facebook-bot that can automate your likes and update status as desired interval of time. All you need to feed the data to the bot for the status. No API Developer key required.
a scaleable and efficient crawelr with docker cluster , crawl million pages in 2 hours with a single machine
PyPi Mirror Manager
Python script to convert Medium articles into audio files.