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Flask (A Python Microframework)

Flask (A Python Microframework)
Welcome because sometimes a pocket knife is not enough overview // docs // community // snippets // extensions // search Flask is a microframework for Python based on Werkzeug, Jinja 2 and good intentions. And before you ask: It's BSD licensed! Latest Version: 0.10.1

http://flask.pocoo.org/

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Flask-Injector 0.9.0 Adds Injector, a Dependency Injection framework, support to Flask. Adds Injector support to Flask, this way there’s no need to use global Flask objects, which makes testing simpler. Injector is a dependency-injection framework for Python, inspired by Guice. Flask-Injector is compatible with CPython 3.3+. As of version 0.8.0 it requires Injector version 0.10.0 or greater and Flask 0.11.0 or greater. GitHub project page:

Installation — Flask Documentation (0.10) Flask depends on two external libraries, Werkzeug and Jinja2. Werkzeug is a toolkit for WSGI, the standard Python interface between web applications and a variety of servers for both development and deployment. Jinja2 renders templates. So how do you get all that on your computer quickly? There are many ways you could do that, but the most kick-ass method is virtualenv, so let’s have a look at that first. Boto Config — boto v2.41.0 The following sections and options are currently recognized within the boto config file. Credentials The Credentials section is used to specify the AWS credentials used for all boto requests. The order of precedence for authentication credentials is: Credentials passed into the Connection class constructor.Credentials specified by environment variablesCredentials specified as named profiles in the shared credential file.Credentials specified by default in the shared credential file.Credentials specified as named profiles in the config file.Credentials specified by default in the config file.

s Python Class - Google for Education Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. Beyond that, you do not need to be an expert programmer to use this material.

Building Microservices with Python, Part 3 – Sergio Sola – Medium In previous articles we built the skeleton of the Microservice and the infrastructure needed to run it with Docker. That means that we can focus now on building the business logic. In this case we are going to do the logic explained in this repository. We are going to build a Microservice to index rooms information coming from another service (crawler). This service will be responsible for indexing the information into Elasticsearch. Designing a RESTful API with Python and Flask In recent years REST (REpresentational State Transfer) has emerged as the standard architectural design for web services and web APIs. In this article I'm going to show you how easy it is to create a RESTful web service using Python and the Flask microframework. What is REST? The characteristics of a REST system are defined by six design rules:

Command Line Tools — boto v2.41.0 Note You are viewing the documentation for an older version of boto (boto2). Boto3, the next version of Boto, is now stable and recommended for general use. Learn Python This exercise has no code. It is simply the exercise you complete to get your computer to run Python. You should follow these instructions as exactly as possible. For example, Mac OS X computers already have Python 2, so do not install Python 3 (or any Python). Go to with your browser, get the Notepad++ text editor, and install it. You do not need to be the administrator to do this.Make sure you can get to Notepad++ easily by putting it on your desktop and/or in Quick Launch. Robot Framework User Guide Robot Framework's actual testing capabilities are provided by test libraries. There are many existing libraries, some of which are even bundled with the core framework, but there is still often a need to create new ones. This task is not too complicated because, as this chapter illustrates, Robot Framework's library API is simple and straightforward. 4.1.2 Creating test library class or module Test libraries can be implemented as Python modules and Python or Java classes. Test library names

An Introduction to Text Mining using Twitter Streaming API and Python // Adil Moujahid // Data Analytics and more Text mining is the application of natural language processing techniques and analytical methods to text data in order to derive relevant information. Text mining is getting a lot attention these last years, due to an exponential increase in digital text data from web pages, google's projects such as google books and google ngram, and social media services such as Twitter. Twitter data constitutes a rich source that can be used for capturing information about any topic imaginable. This data can be used in different use cases such as finding trends related to a specific keyword, measuring brand sentiment, and gathering feedback about new products and services. In this tutorial, I will use Twitter data to compare the popularity of 3 programming languages: Python, Javascript and Ruby, and to retrieve links to programming tutorials. In the first paragraph, I will explaing how to connect to Twitter Streaming API and how to get the data.

API Creation - Full Stack Python Creating and exposing APIs allows your web application to interact with other applications through machine-to-machine communication. API creation frameworks Django REST framework and Tastypie are the two most widely used API frameworks to use with Django.

Programmatic Deployment to Elastic Mapreduce with Boto and Bootstrap Action A while back I wrote about How to combine Elastic Mapreduce/Hadoop with other Amazon Web Services. This posting is a small update to that, showing how to deploy extra packages with Boto for Python. Note that Boto can deploy mappers and reducers in written any language supported by Elastic Mapreduce. In the example below (it can also be found on github – i.e. check out with git clone git@github.com:atbrox/atbroxexamples.git) Imports and connection to elastic mapreduce on AWS Bootstrap step being created In this case a shell script from s3, note that this could contain sudo commands in order to do apt-get installs, e.g to install classic programming language packages like gfortran or open-cobol, or more modern languages like ghc6 (haskell), or any code, e.g. checking out latest version of a programming language (e.g.

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