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In this guide, we will discuss four unofficial google drive clients for Linux. Using them, you can mount Google drive locally as a virtual file system.
Talk - an open-source comments platform built with journalists and their communities in mind. Currently used by industry leaders and small newsrooms alike.
A History of Alice and Bob, by Quinn DuPont and Alana Cattapan (created 2017).
Sia is a decentralized storage platform secured by blockchain technology. The Sia Storage Platform leverages underutilized hard drive capacity around the world to create a data storage marketplace that is more reliable and lower cost than traditional cloud storage providers.
Command-line cloud music player for Linux that supports Spotify, Google Play Music, YouTube, SoundCloud, and Dirble.
Blog of Raph Levien.
Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application - chnsh/deep-semantic-code-search
SMACH is a task-level architecture for rapidly creating complex robot behavior. At its core, SMACH is a ROS-independent Python library to build hierarchical state machines. SMACH is a new library that takes advantage of very old concepts in order to quickly create robust robot behavior with maintainable and modular code.
RabbitMQ is lightweight and easy to deploy on premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.
RabbitMQ runs on many operating systems and cloud environments.
The outputs from scientific research are many and varied, including: research articles reporting new knowledge, data, reagents, and software; intellectual property; and highly trained young scientists. Funding agencies, institutions that employ scientists, and scientists themselves, all have a desire, and need, to assess the quality and impact of scientific outputs. It is thus imperative that scientific output is measured accurately and evaluated wisely.
Say you have an external hard drive with layers upon layers of cryptically named folders and intricate mazes of directories (like here, or here). How can you make sense of this mess? Python offers various tools in the Python standard library to deal with your file system and the folderstats module can be of additional help to gain insights into your file system.
In this article, you will learn the various ways to traverse and explore the file system with Python. In the next section, you will see how to extract statistics from files and directories. In the last section, you will see a practical way to analyze folder structures with folderstats and Pandas with some use cases and visualizations along the way.
Files so deeply compressed that they’re effectively malware have been around for decades—and a researcher just unveiled a brand-new Zip bomb that explodes a 46-megabyte file to 4.5 petabytes of data.
Simple password-based file encryption. Contribute to spieglt/Cloaker development by creating an account on GitHub.
The automobile took over because the legal system helped squeeze out the alternatives.
Scientists used machine learning to reveal new scientific knowledge hidden in old research papers.
Contribute to olsonpm/sqlite-to-rest development by creating an account on GitHub.
Solution for the Range Minimum Query problem with Sparse Tables and Dynamic Programming.