- lxml - Pythonic binding for the C libraries libxml2 and libxslt.
- boto - Python interface to Amazon Web Services
- Django - Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
- Fabric - Library and command-line tool for streamlining the use of SSH for application deployment or systems administration task.
- PyMongo - Tools for working with MongoDB, and is the recommended way to work with MongoDB from Python.
- Celery - Task queue to distribute work across threads or machines.
- pytz - pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher.
// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
- Bundler - Bundler maintains a consistent environment for ruby applications. It tracks an application's code and the rubygems it needs to run, so that an application will always have the exact gems (and versions) that it needs to run.
- rabl - General ruby templating with json, bson, xml, plist and msgpack support
- Thin - Very fast and lightweight Ruby web server
- Unicorn - Unicorn is an HTTP server for Rack applications designed to only serve fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels.
- SimpleCov - SimpleCov is a code coverage analysis tool for Ruby 1.9.
- Zeus - Zeus preloads your Rails app so that your normal development tasks such as console, server, generate, and specs/tests take less than one second.
- [factory_girl](h
The purpose of this document is to make recommendations on how to browse in a privacy and security conscious manner. This information is compiled from a number of sources, which are referenced throughout the document, as well as my own experiences with the described technologies.
I welcome contributions and comments on the information contained. Please see the How to Contribute section for information on contributing your own knowledge.
This document will walk you through compiling your own scientific python distribution from source,
without sudo
, on a linux machine. The core numpy
and scipy
libraries will be linked against
Intel MKL for maximum performance.
This procedure has been tested with Rocks Cluster Linux 6.0 (Mamba) and CentOS 6.3.
Having seen @pirapira's sketch of Bamboo ( https://github.com/pirapira/bamboo/ ), which proposed to add better control about the "smart contract program flow", even across calls, I thought that this should certainly be added to Solidity, and actually, it might even be possible now to a certain degree using inline assembly.
The problem is that with many functions in a contract, it is not always clear which can be called at which stage in the contract's lifetime. Certain smart contracts would be easier to understand if written as follows:
pragma solidity ^0.4.14; | |
library Pairing { | |
struct G1Point { | |
uint X; | |
uint Y; | |
} | |
// Encoding of field elements is: X[0] * z + X[1] | |
struct G2Point { | |
uint[2] X; |
- Website: https://safe.gnosis.io
- Smart contracts: https://github.com/gnosis/safe-contracts
- iOS app: https://github.com/gnosis/safe-ios
- Android app: https://github.com/gnosis/safe-android
- Chrome extension: https://github.com/gnosis/safe-browser-extension