Monkey patching is about replacing attributes of a Python thing with other attributes. Let's use the word "thing" very loosely and have some fun.
Learn to code with Treehouse and get a job you love.
Distributed tracing is the idea of tracing a network request as it travels through your services, as it would be in a microservices based architecture. The primary reason you may want to do is to troubleshoot or monitor the latency of a request as it travels through the different services.
The descriptive statistics we are going to calculate are the central tendency (in this case only the mean), standard deviation, percentiles (25 and 75), min, and max.
pandas is a software library written for the Python programming language for data manipulation and analysis.
In a previous post, I listed out the steps to run Jupyter notebooks on GPU instances on GCP Compute Engine. It turns out, there is a much easier and more flexible way. Using Docker containers.
We help companies like Airbnb, Pfizer, and Artsy find great developers. Let us find your next great hire. Get started today.
In this article, we will walk through an intermediate-level tutorial on how to train an image caption generator on the Flickr30k data set using an adaptation of Google’s Show and Tell model. We use the TensorFlow framework to construct, train, and test our model because it’s relatively easy to use and has a growing online community.
Jetsetter has hundreds of thousands of high-resolution travel photos, and we’re adding lots more every day. The problem is, these come from a variety of sources and are uploaded in a semi-automated way, so there are often duplicates or almost-identical photos that sneak in. And we don’t want our photo search page filled with dupes.
I’ve been playing around with the Python library Luigi which is used to build pipelines of batch jobs and I struggled to find an example of an ExternalProgramTask so this is my attempt at filling that void.
About this course: In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.
Pandas tips and tricks video
Python one-liners: Awk-like one-liners for python
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
Small template for setting up Travis CI with Python.
This little program generates a thumbnail of a certain pdf for quick visualization. It is based on ImageMagick as it has all the functionality required.
URL shortener written in Python + Flask.
Creates a progress bar that is sized dynamically to the current terminal window size.
Notebook for my PyData TLV talk on Pandas tips & tricks