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These libraries help speed up your data pipelines, use AWS Lambda to shred through computation-heavy jobs, and work with TensorFlow models minus TensorFlow Machine learning is exciting, but the work is complex and difficult. It typically involves a lot of manual lifting—assembling workflows and pipelines, setting up data sources, and shunting back and forth between on-prem and cloud-deployed resou
By dismissing the Python garbage collection (GC) mechanism, which reclaims memory by collecting and freeing unused data, Instagram can run 10% more efficiently. Yes, you heard it right! By disabling GC, we can reduce the memory footprint and improve the CPU LLC cache hit ratio. If you’re interested in knowing why, buckle up! How We Run Our Web ServerInstagram’s web server runs on Django in a multi
TensorFlow in Scala with ScalaPyShadaj Laddad · January 4, 2017 How ScalaPy worksTensorFlow with ScalaPyThis winter break, I started work on a project for controlling robots with neural networks. I knew I wanted to use Scala for implementing the project, because of its static-typing safety and potential for integration into distributed computation pipelines. But I also wanted to use TensorFlow's P
Data Brewery Data Brewery is a set of Python frameworks and tools for data processing and analysis. Aggregated data browsing, reporting and multidimensional modeling. Contains set of tools, OLAP HTTP server and light-weight Python framework. Overview Documentation Explore Framework for data processing (ETL) and auditing based on virtual data objects with focus on process understandability and usab
Toil Documentation¶ Toil is an open-source pure-Python workflow engine that lets people write better pipelines. Check out our website for a comprehensive list of Toil’s features and read our paper to learn what Toil can do in the real world. Please subscribe to our low-volume announce mailing list and feel free to also join us on GitHub and Gitter. If using Toil for your research, please cite Vivi
Creating a tiny async framework Async programming has stirred the Python community in the past years. Some people adore the performance and elegant code, others hate how it requires *all* your code to be async. This post looks into what async does by creating a tiny async framework. read more ... Rendering thick lines with dashes Rendering lines on the GPU is notoriously non-trivial. Especially if
This tutorial will show you how to install the latest version of Python 2 and Python 3 on CentOS by compiling from source. The examples below are for Python 2.7.14 and Python 3.6.3, but the procedure is the same for any modern version of Python. If you are using CentOS 6 you can use this tutorial to install both Python 2.7.x and Python 3.6.x. For CentOS 7 only the Python 3.6.x instructions below a
I can still recall the excitement of the first time I tried to access and administer a remote system using SSH. Accessing my shell at a remote machine securely, being able to do local and remote port forwarding in order to access remote services through encrypted tunnels, X forwarding, secure file transfers using scp or sftp, authentication using public key infrastructure are just a few of the fea
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