book

Mastering Flask

by Jack Stouffer

September 2015

Intermediate to advanced

288 pages

5h 30m

English

Packt Publishing

Read now

Unlock full access

Support files, eBooks, discount offers, and moreWhy subscribe?Free access for Packt account holders
What this book covers

Downloading the example codeErrataPiracyQuestions
Version control with GitInstalling GitGit on WindowsGit basics
Installing the pip Python package manager on WindowsInstalling the pip Python package manager on Mac OS X and Linuxpip basics
virtualenv basics
Using Flask Script
Setting up SQLAlchemyPython packagesFlask SQLAlchemy
Creating the user table
Creating modelsReading modelsFiltering queriesUpdating modelsDeleting models
One-to-manyMany-to-many
Jinja's syntaxFiltersdefaultescapefloatintjoinlengthroundsafetitletojsontruncateCustom filtersCommentsif statementsLoopsMacrosFlask-specific variables and functionsconfigrequestsessionurl_for()get_flashed_messages()
The view functionWriting the templates and inheritanceThe home page templateWriting the other templates
WTForms basicsCustom validatorsPosting comments
Request setup, teardown, and application globals
Method class views
The project as a moduleRefactoring the code
Setting upUpdating the modelsCreating the formsProtecting your form from spam with reCAPTCHACreating viewsSocial loginsOpenIDFacebookTwitter
User roles
Types of NoSQL databasesKey-value storesDocument storesColumn family storesGraph databases
The strengths of RDBMS databasesData safetySpeed and scaleToolsThe strengths of NoSQL databasesWhat database to use when
Installing MongoDBSetting Up MongoEngineDefining documentsField typesTypes of documentsThe meta attributeCRUDCreateWrite safetyReadFilteringUpdateDeleteRelationships in NoSQLOne-to-many relationshipsMany-to-many relationships
What is REST
Output formattingRequest arguments
Authentication
What is Celery?
Celery workflowsPartialsCallbacksGroupChainChordRunning tasks periodically
Web-based monitoring with Flower
Flask Script
Caching views and functionsCaching functions with parametersCaching routes with query stringsUsing Redis as a cache backendUsing memcached as a cache backend
Creating basic admin pagesCreating database admin pagesEnhancing the post's administrationCreating file system admin pagesSecuring Flask Admin
Creating a YouTube Flask extensionCreating a Python package
What are unit tests?
Testing the route functions
Deploying on your own serverPushing code to your server with fabricRunning your web server with supervisorGeventTornadoNginx and uWSGIApache and uWSGI
Using Heroku PostgresUsing Celery on Heroku
Using Flask on Amazon Elastic BeanstalkUsing Amazon Relational Database ServiceUsing Celery with Amazon Simple Queue Service

Content preview from Mastering Flask

Python package management with pip

In Python, programmers can download libraries from other programmers that extend the functionality of the standard Python library. As you already know from using Flask, a lot of Python's power comes from its large amount of community-created libraries.

However, installing third-party libraries can be a huge pain to do correctly. Say there is a package X that you wish to install. Simple enough, download the Zip file and run setup.py, right? Not quite. Package X relies on package Y, which in turn relies on Z and Q. None of this information was listed on package X's website, but they are required to be installed for X to work at all. You then have to find all of the packages one by one and install them, in the hope ...