Search Results for "pam-python" - Page 62
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Showing 2883 open source projects for "pam-python"
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked... -
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Icon Font to PNG
Python script (and library) for exporting icons from icon fonts
Python script (and library) for easy and simple export of icons from web icon fonts (e.g. Font Awesome, Octicons) as PNG images. The best part is the provided shell script, but you can also use it’s functionality directly in your (probably awesome) Python project. There’s also font-awesome-to-png script for backward compatibility with the first iteration of the concept. -
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Simple Python Fixed-Point Module
Pure-python binary fixed-point arithmetic library
This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available. For the latest releases please visit https://github.com/rwpenney/spfpm -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security -
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wxCode project is a collection of reusable components based on the cross-platform wxWidgets GUI toolkit. The project provides various tools and facilities for building, maintaining and releasing wxWidgets-based code. Visit the website for more info. Note: As of January 2018 this project has been retired.
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Ansistrano
Ansible role to deploy scripting applications like PHP, Python, Ruby
...Capistrano is a remote server automation tool and it's currently in Version 3. Version 2.0 was originally thought in order to deploy RoR applications. With additional plugins, you were able to deploy non Rails applications such as PHP and Python. -
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FortWrap is a python script that parses Fortran 90/95/200X source files and generates wrapper code in the form of C++ classes. FortWrap is intended to be used with object oriented Fortran code that makes use of Fortran derived types. Project has moved to: https://github.com/mcfarljm/fortwrap
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Boilr
boilerplate template manager that generates files or directories
...Are you doing the same steps over and over again every time you start a new programming project? Boilr is a boilerplate template manager that generates files or directories from template repositories. No dependencies (NodeJS, Python Interpreter etc.) Boilr is a single statically linked binary. Grab the one that fits your architecture, and you're all set to save time by using templates! Full Power of Golang Templates. Golang has powerful templating constructs which are very easy to learn and powerful. Dead-Simple Template Creation. Creating boilerplate templates is very easy, check out the license template to see a simple, but a very useful template for adding licenses to new projects with a single command. -
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Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Strider
Open Source Continuous Integration & Deployment Server
Strider is an Open Source Continuous Deployment / Continuous Integration platform written in Node.js and Ember.js, with MongoDB as a backing store. Strider is designed to be easy to set up and use, with reasonable defaults and automation and minimal extraneous UI. It is also extremely customizable through plugins, which allows it to add hooks for performing arbitrary actions during build, modify the database schema, create or modify user interfaces, and so much more! Strider comes with a... -
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Projects-Solutions
Links to others' solutions to Projects
...The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. For learners it is particularly useful to see how others structure their projects, how they implement algorithms in different languages, and how to cleanly organize a solution. -
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Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. ... -
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joe
A .gitignore magician in your command line
A .gitignore magician in your command line. Joe generates .gitignore files from the command line for you. After install, make sure to run joe u. This will download all .gitignore files in ~/joe-data/ folder. Download the latest binary from the Releases page. It's the easiest way to get started with joe. Make sure to add the location of the binary to your $PATH. You can also use joe to append to a global .gitignore. These can be helpful when you want to ignore files generated by an IDE, OS,... -
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...Please consider registering to show your support. Register here: https://docs.google.com/forms/d/12tAH4f8CJ-3F-lK44Q9uQHFio_mGoK0oY829q5lD7i4/viewform GillesPy is a python interface for developing models and simulating them with StochKit. Please see: https://github.com/GillesPy/gillespy/ StochKit currently supports Linux, Windows, and OS X.
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction.... -
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. -
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Rodeo
A data science IDE for Python
A data science IDE for Python. RODEO, that is an open-source python IDE and has been brought up by the folks at yhat, is a development environment that is lightweight, intuitive and yet customizable to its very core and also contains all the features mentioned above that were searched for so long. It is just like your very own personal home base for exploration and interpretation of data that aims at Data Scientists and answers the main question, "Is there anything like RStudio for Python?" ... -
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Neoformat
A (Neo)vim plugin for formatting code
Neoformat uses a variety of formatters for many filetypes. Currently, Neoformat will run a formatter using the current buffer data, and on success, it will update the current buffer with the formatted text. On a formatter failure, Neoformat will try the next formatter defined for the filetype. By using getbufline() to read from the current buffer instead of file, Neoformat is able to format your buffer without you having to :w your file first. Also, by using setline(), marks, jumps, etc. are... -
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ECMAScripter
Ligth-weigth IDE for ECMAScript/JS/Python/Ruby/Kotlin/Groovy
ECMAScripter is an IDE for JVM languages. This IDE is very simple and easy to use. Because of this you can easily write and test your algorithms on well-known languages. -
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boost-gdb-printers
GDB pretty printers for boost
A collection of pretty printers for GDB 7.x for various boost types. -
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This project consists of a C preprocessor which allows to use a python inspired syntax to write C code, as well as much more powerful preprocessing using python instead of the very limited standard C preprocessor.
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PrettyTensor
Pretty Tensor: Fluent Networks in TensorFlow
Pretty Tensor is a high-level API built on top of TensorFlow that simplifies the process of creating and managing deep learning models. It wraps TensorFlow tensors in a chainable object syntax, allowing developers to build multi-layer neural networks with concise and readable code. Pretty Tensor preserves full compatibility with TensorFlow’s core functionality while providing syntactic sugar for defining complex architectures such as convolutional and recurrent networks. The library’s design... -
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SIGAR (System Information Gatherer and Reporter) is a cross-platform, cross-language library and command-line tool for accessing operating system and hardware level information in Java, Perl and .NET.
