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Tools of static analysis, linters and code quality checkers. Libraries for visualizing data. Frameworks for Neural Networks and Deep Learning. Libraries for Machine Learning. Libraries for accessing third party services APIs. Your contributions are always welcome! Please take a look at the contribution guidelines first.

I will keep some pull requests open if I'm not sure whether those libraries are awesome, you could vote for them by adding: Pull requests will be merged when their votes reach If you have any question about this opinionated list, do not hesitate to contact me vinta on Twitter or open an issue on GitHub. Awesome Python A curated list of awesome Python frameworks, libraries, software and resources.

Ajenti - The admin panel your servers deserve. Grappelli - A jazzy skin for the Django Admin-Interface. Algorithms and Design Patterns Python implementation of algorithms and design patterns. PyPattyrn - A simple yet effective library for implementing common design patterns. Asset Management Tools for managing, compressing and minifying website assets. Audio Libraries for manipulating audio.

Feature Extraction, Classification, Segmentation and Applications pydub - Manipulate audio with a simple and easy high level interface. TimeSide - Open web audio processing framework. Authentication Libraries for implementing authentications schemes. Flask-OAuthlib - OAuth 1. Build Tools Compile software from source code. BitBake - A make-like build tool for embedded Linux.

PlatformIO - A console tool to build code with different development platforms. PyBuilder - A continuous build tool written in pure Python. SCons - A software construction tool. Built-in Classes Enhancement Libraries for enhancing Python built-in classes. Box - Python dictionaries with advanced dot notation access. Kotti - A high-level, Pythonic web application framework built on Pyramid. Mezzanine - A powerful, consistent, and flexible content management platform.

Wagtail - A Django content management system. Caching Libraries for caching data. Beaker - A library for caching and sessions for use with web applications and stand-alone Python scripts and applications. DiskCache - SQLite and file backed cache backend with faster lookups than memcached and redis. HermesCache - Python caching library with tag-based invalidation and dogpile effect prevention.

ChatOps Tools Libraries for chatbot development. Errbot - The easiest and most popular chatbot to implement ChatOps. Code Analysis Tools of static analysis, linters and code quality checkers. Code Analysis flake8 - A wrapper around pycodestyle, pyflakes and McCabe. Static Type Checkers mypy - Check variable types during compile time. Static Type Annotations Generators MonkeyType - A system for Python that generates static type annotations by collecting runtime types Command-line Tools Libraries for building command-line application.

Gooey - Turn command line programs into a full GUI application with one line Python-Fire - A library for creating command line interfaces from absolutely any Python object.

PathPicker - Select files out of bash output. Compatibility Libraries for migrating from Python 2 to 3. Python-Future - The missing compatibility layer between Python 2 and Python 3.

Python-Modernize - Modernizes Python code for eventual Python 3 migration. Six - Python 2 and 3 compatibility utilities.

Computer Vision Libraries for computer vision. SimpleCV - An open source framework for building computer vision applications. Concurrency and Parallelism Libraries for concurrent and parallel execution. Tomorrow - Magic decorator syntax for asynchronous code. Configuration Libraries for storing and parsing configuration options. ConfigObj - INI file parser with validation.

Cryptography cryptography - A package designed to expose cryptographic primitives and recipes to Python developers. Paramiko - A Python 2. Data Analysis Libraries for data analyzing. Orange - Data mining, data visualization, analysis and machine learning through visual programming or scripts. Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools. Optimus - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy Machine Learning with a PySpark backend.

Data Validation Libraries for validating data. Used for forms in many cases. Cerberus - A lightweight and extensible data validation library. Schematics - Data Structure Validation. Data Visualization Libraries for visualizing data.

Altair - Declarative statistical visualization library for Python. Bokeh - Interactive Web Plotting for Python. Matplotlib - A Python 2D plotting library. PyGraphviz - Python interface to Graphviz. Seaborn - Statistical data visualization using Matplotlib. Database Databases implemented in Python. TinyDB - A tiny, document-oriented database.

A key-value and object graph database. Database Drivers Libraries for connecting and operating databases. Date and Time Libraries for working with dates and times. Chronyk - A Python 3 library for parsing human-written times and dates. Pendulum - Python datetimes made easy. Brings the tz database into Python. Debugging Tools Libraries for debugging code.

Pyflame - Attach this Ptracing Profiler to any processes running Python. Perfect for profiling production webservers. Others django-debug-toolbar - Display various debug information for Django. Caffe - A fast open framework for deep learning. Keras - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.

MXNet - A deep learning framework designed for both efficiency and flexibility. Neupy - Running and testing different Artificial Neural Networks algorithms.

AI - Game agent framework. Use any video game as a deep learning sandbox. Theano - A library for fast numerical computation. Ansible - A radically simple IT automation platform. Cloud-Init - A multi-distribution package that handles early initialization of a cloud instance. Docker Compose - Fast, isolated development environments using Docker.

Fabric - A simple, Pythonic tool for remote execution and deployment. Fabtools - Tools for writing awesome Fabric files. OpenStack - Open source software for building private and public clouds. SaltStack - Infrastructure automation and management system.

Distribution Libraries to create packaged executables for release distribution. Nuitka - Compile scripts, modules, packages to an executable or extension module.

PyInstaller - Converts Python programs into stand-alone executables cross-platform. Documentation Libraries for generating project documentation.

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Fast flux is a DNS technique used by botnets to hide phishing and malware delivery sites behind an ever-changing network of compromised hosts acting as proxies. It can also refer to the combination of peer-to-peer networking , distributed command and control, web-based load balancing and proxy redirection used to make malware networks more resistant to discovery and counter-measures.

The Storm Worm is one of the first malware variants to make use of this technique. The basic idea behind Fast flux is to have numerous IP addresses associated with a single fully qualified domain name , where the IP addresses are swapped in and out with extremely high frequency, through changing DNS records. Internet users may see fast flux used in phishing attacks linked to criminal organizations, including attacks on social network services.

While security researchers have been aware of the technique since at least November , the technique only received wider attention in the security trade press starting from July The simplest type of fast flux, named "single-flux", is characterized by multiple individual nodes within the network registering and de-registering their addresses as part of the DNS A address record list for a single DNS name.

This combines round robin DNS with very short—usually less than five minutes s [2] -- TTL time to live values to create a constantly changing list of destination addresses for that single DNS name. The list can be hundreds or thousands of entries long.

A more sophisticated type of fast flux, referred to itself as "double-flux", is characterized by multiple nodes within the network registering and de-registering their addresses as part of the DNS Name Server record list for the DNS zone.

This provides an additional layer of redundancy and survivability within the malware network. Within a malware attack, the DNS records will normally point to a compromised system that will act as a proxy server. This method prevents some of the traditionally best defense mechanisms from working — e. The method can also mask the systems of attackers, which will exploit the network through a series of proxies and make it much more difficult to identify the attackers' network.

The record will normally point to an IP where bots go for registration, to receive instructions, or to activate attacks. Because the IPs are proxified, it is possible to disguise the originating source of these instructions, increasing the survival rate as IP-based block lists are put in place.

The most effective measure against fast flux is to take down the domain name it uses. Registrars are, however, reluctant to do so because domain owners are legitimate customers for them and there's no worldwide-enforced policy of what constitutes an abuse. In addition to this, cybersquatters , including fast flux operators who typically register new names on demand , are their main source of income. Security experts keep working on measures to ease this process.

Other measures can be taken by local network administrators. A network admin can force endpoints within their network to only be able to use local DNS servers by blocking all egress DNS traffic, and then blackhole requests for malicious domains at the DNS level. Alternatively, administrators with network devices capable of doing layer 7 inspection and intervention can set up policies that reset connections that attempt to resolve or make HTTP requests involving malicious domains.

From Wikipedia, the free encyclopedia. For the nuclear breeder reactor, see Fast Flux Test Facility. This article includes a list of references , but its sources remain unclear because it has insufficient inline citations. Please help to improve this article by introducing more precise citations. April Learn how and when to remove this template message.

Reverse domain hijacking Cybersquatting Domain name drop list Domain name speculation Domain sniping Domain parking Domain tasting Domain name warehousing Doppelganger domain Type-in traffic Typosquatting Domain name front running. Retrieved from " https: Domain name system Online advertising Botnets. Articles lacking in-text citations from April All articles lacking in-text citations All articles with unsourced statements Articles with unsourced statements from December Views Read Edit View history.

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