Here’s an interesting look behind the scenes of the technology Netflx uses and it’s reliant heavily on Python.
Over the last decade or so, open source has blossomed into a major movement and the backbone of the tech industry. For instance, check out this project that Uber, yes Uber, has open sourced.
Ludwig is a TensorFlow-based toolbox that allows you to train and test deep learning models without the need to write any of the code. Incubated at Uber for the last two years, Ludwig was finally open sourced this February to incorporate the contributions of the data science community. With Ludwig, a data scientist can train a deep learning model by simply providing a CSV file that contains the training data as well as the YAML file with the outputs and inputs of the model.
In an interesting behind the scenes look at Netflix’s engineering, Josh Evans talks about the chaotic and vibrant world of microservices. Starting with the basics- the anatomy of a microservice, the challenges around distributed systems, and the benefits, he then builds on that foundation exploring the cultural, architectural, and operational methods that lead to microservice mastery.
Business Wars is a podcast that chronicles the fight for your business, taking a peek behind the shiny logos and press releases to uncover the gritty details behind the scenes.
Fascinating stories made better with amazing audio production values and killer narration.
Below is Episode 1 of an 8-part series on the brutal business battle between Netflix and Blockbuster, and later HBO.
It all started around 1997, with a guy named Marc Randolph and his mathematician friend Reed Hastings. Randolph and Hastings knew they’d have to take on Blockbuster, but what they didn’t anticipate was that their business model would take on network television and eventually change the entire movie industry.
This was an 8-year total war that left innumerable casualties in its wake: thousands of hollowed out buildings and economic losses in the billions.
Press the play button below to listen here