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Flask-AutoIndex¶ Flask-AutoIndex generates an index page for your Flask application automatically. The result just like mod_autoindex, but the look is more awesome! Look at this: This module contains pre-designed template and css file. It is default style, but you can make your own style. Note Flask-AutoIndex uses Flask-Silk to serve icons. Per default, the icons from Mark James’s Silk icon set ar
pandas-ply: functional data manipulation for pandas¶ pandas-ply is a thin layer which makes it easier to manipulate data with pandas. In particular, it provides elegant, functional, chainable syntax in cases where pandas would require mutation, saved intermediate values, or other awkward constructions. In this way, it aims to move pandas closer to the “grammar of data manipulation” provided by the
Flask-GoogleLogin¶ Flask-GoogleLogin extends Flask-Login to use Google OAuth2’s authorization.
Common usage� Joblib provides a simple helper class to write parallel for loops using multiprocessing. The core idea is to write the code to be executed as a generator expression, and convert it to parallel computing: >>> from math import sqrt >>> [sqrt(i ** 2) for i in range(10)] [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
Vision� The vision is to provide tools to easily achieve better performance and reproducibility when working with long running jobs. Avoid computing twice the same thing: code is rerun over an over, for instance when prototyping computational-heavy jobs (as in scientific development), but hand-crafted solution to alleviate this issue is error-prone and often leads to unreproducible results Persist
The py2app documentation is here
Airflow’s Documentation¶ Airflow is a platform to programmaticaly author, schedule and monitor data pipelines. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface
Welcome to nolearn’s documentation!¶ This package contains a number of utility modules that are helpful with machine learning tasks. Most of the modules work together with scikit-learn, others are more generally useful. nolearn’s source is hosted on Github. Releases can be downloaded on PyPI. Installation¶ We recommend using virtualenv to install nolearn. To install the latest version of nolearn f
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
RPIO.PWM, PWM via DMA for the Raspberry Pi¶ RPIO.PWM provides PWM via DMA for the Raspberry Pi, using the onboard PWM module for semi-hardware pulse width modulation with a precision of up to 1µs. With RPIO.PWM you can use any of the 15 DMA channels and any number of GPIOs per channel. Since the PWM is done via DMA, RPIO.PWM uses almost zero CPU resources and can generate stable pulses with a very
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
flask-mail¶ One of the most basic functions in a web application is the ability to send emails to your users. The Flask-Mail extension provides a simple interface to set up SMTP with your Flask application and to send messages from your views and scripts.
Six: Python 2 and 3 Compatibility Library� Six provides simple utilities for wrapping over differences between Python 2 and Python 3. It is intended to support codebases that work on both Python 2 and 3 without modification. six consists of only one Python file, so it is painless to copy into a project. Six can be downloaded on PyPi. Its bug tracker and code hosting is on BitBucket. The name, “six
Blinker Documentation¶ Blinker provides fast & simple object-to-object and broadcast signaling for Python objects. The core of Blinker is quite small but provides powerful features: a global registry of named signals anonymous signals custom name registries permanently or temporarily connected receivers automatically disconnected receivers via weak referencing sending arbitrary data payloads colle
Please go to more-itertools at Read the Docs for the latest documentation.
What is it? Pythran is a python to c++ compiler for a subset of the python language. It takes a python module annotated with a few interface description and turns it into a native python module with the same interface, but (hopefully) faster. It is meant to efficiently compile scientific programs, and takes advantage of multi-cores and SIMD instruction units. Pythran development is currently done
behave is behaviour-driven development, Python style. Behavior-driven development (or BDD) is an agile software development technique that encourages collaboration between developers, QA and non-technical or business participants in a software project. We have a page further describing this philosophy. behave uses tests written in a natural language style, backed up by Python code. Once you’ve ins
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
Flask-Classy¶ Flask-Classy is an extension that adds class-based views to Flask. But why? I ❤ Flask. Like a lot. But sometimes projects get a little big and I need some way of managing and organizing all the different pieces. I know what you’re saying: “But what about Blueprints?” You’re right. Blueprints are pretty awesome. But I found that they aren’t always enough to encapsulate a specific cont
This site hosts packages and documentation uploaded by authors of packages on the Python Package Index. Legal Notice The Python Software Foundation ("PSF") does not claim ownership of any third-party code or content ("third party content") placed on the web site and has no obligation of any kind with respect to such third party content. Any third party content provided in connection with this web
TestFixtures documentation¶ TestFixtures is a collection of helpers and mock objects that are useful when writing unit tests or doc tests. The sections below describe the use of the various tools included:
The PyObjC project aims to provide a bridge between the Python and Objective-C programming languages. The bridge is intended to be fully bidirectional, allowing the Python programmer to take full advantage of the power provided by various Objective-C based toolkits and the Objective-C programmer transparent access to Python based functionality. The most important usage of this is writing Cocoa GUI
Slides of a talk I gave about importd: http://amitu.com/importd/ importd is being developed on http://github.com/amitu/importd/. See the Changelog: https://github.com/amitu/importd/blob/master/ChangeLog.rst. hello world with importd¶ With importd there is no need to create a django project or app. There is no settings.py or urls.py, nor is there a need of manage.py. A single file is sufficient, e.
xibless - Get rid of XIBs and XCode¶ xibless is a library that generates Objective-C code that builds Cocoa UIs. The goal of this library is to replace XIBs in XCode and, if you want, get rid of XCode altogether. With xibless, instead of designing UIs with a WYSIWYG editor, you build them in a Python script, similarly to what you do when you build Qt UIs without the Designer. For example, a script
Documentation¶ This documentation claims to describe the behavior of feedparser 5.2.0. It does not claim to describe the behavior of any other version. This documentation lives at https://pythonhosted.org/feedparser/. If you’re reading it somewhere else, you may not have the latest version. This documentation is provided by the author “as is” without any express or implied warranties. See the docu
Documenting Your Project Using Sphinx¶ This covers just a few of the many many commands available via sphinx. For more, visit http://sphinx.pocoo.org/. Also, another great site with just an overview of more common commands is http://docs.geoserver.org/trunk/en/docguide/sphinx.html.
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