Welcome to AjguDB Documentation Kesako?! AjguDB is graph database written in Python with several backends. It's meant to be an easy to use, just works persistent graph for people that want to experiment with graph databases. SQLite for graphs, if I may. Getting started Create a Graph You need to choose a storage class and create a graph. There is three storages right now: ajgu.storage.BSDDB3 the d
Linesman Documentation¶ linesman is a profiler for WSGI applications. It installs as middleware, can be configured entirely from any paster config, and aims to be a jack-of-all-trades when it comes to profiling WSGI apps. Unfortunately, there are only a few profilers available for Python, with the fastest and generally most popular one being cProfile. However, the output can be very difficult to a
git clone https://github.com/mattupstate/flask-jwt.git ./flask-jwt pip install ./flask-jwt from flask import Flask from flask_jwt import JWT, jwt_required, current_identity from werkzeug.security import safe_str_cmp class User(object): def __init__(self, id, username, password): self.id = id self.username = username self.password = password def __str__(self): return "User(id='%s')" % self.id users
Flask-Auth¶ Flask-Auth is a flask extension that offers database-agnostic (but still fairly plug-and-play) role-based user authentication. Sounds impressive, right? Features¶ Set of functions to assist in user session management (logging in and out, getting the current user, expiring sessions, encrypting passwords, etc). Base user class AuthUser that can be used with most ORM’s. Plug-and-play mode
Welcome to Plan¶ Welcome to Plan’s documentation. This documentation is mainly divided into two parts. You can get started with Installation and then have a look at Quickstart in order to have a feel about how plan looks like. You can head over to Tutorial if you want to know how to use Plan in real life. The rest part of the user’s guide is about how to define one specific job or plan object and
mrjob¶ mrjob lets you write MapReduce jobs in Python 2.6+/3.3+ and run them on several platforms. You can: Write multi-step MapReduce jobs in pure Python Test on your local machine Run on a Hadoop cluster Run in the cloud using Amazon Elastic MapReduce (EMR) Run in the cloud using Google Cloud Dataproc (Dataproc) Easily run Spark jobs on EMR or your own Hadoop cluster mrjob is licensed under the A
Warning This documentation refers to new 2.X version of psutil. Instructions on how to port existing 1.2.1 code are here. Old 1.2.1 documentation is still available here. psutil (python system and process utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network) in Python. It is useful mainly for system monitoring, p
MediaWiki Utilities¶ MediaWiki Utilities is an open source (MIT Licensed) library developed by Aaron Halfaker for extracting and processing data from MediaWiki installations, slave databases and xml dumps. Instal with pip: pip install mediawiki-utilities Note: Use of this library requires Python 3 or later. Core modules¶ mw.api A set of utilities for interacting with MediaWiki’s web API. Session –
sphinxcontrib.httpdomain — Documenting RESTful HTTP APIs¶ This contrib extension, sphinxcontrib.httpdomain, provides a Sphinx domain for describing RESTful HTTP APIs. See also We might support reflection for web framework your webapp depends on. See the following sphinxcontrib.auttohttp modules: Module sphinxcontrib.autohttp.flask Reflection for Flask webapps. Module sphinxcontrib.autohttp.bottle
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