This document provides an overview of setting up a Flask application with common extensions for functionality like user authentication, database management, forms validation, and sending email. It demonstrates initializing extensions like Flask-SQLAlchemy, Flask-Login, Flask-Migrate, Flask-Script, and Flask-Mail. Models and views are defined to handle user registration and login. The Flask application is configured and commands are provided to initialize the database, run migrations, and start a development server.
This document discusses Flask, a Python-based web application framework. It provides an overview of Flask fundamentals like backend development, virtual environments, routes, templates, and error handling. It also covers additional Flask features like extensions, MongoDB integration, and building REST APIs. The document uses code samples and file structure examples to demonstrate how to structure and deploy a Flask application on Heroku.
This document provides an overview of Flask, a microframework for Python. It discusses that Flask is easy to code and configure, extensible via extensions, and uses Jinja2 templating and SQLAlchemy ORM. It then provides a step-by-step guide to setting up a Flask application, including creating a virtualenv, basic routing, models, forms, templates, and views. Configuration and running the application are also covered at a high level.
Flask is a Python web framework that provides templates, sessions, static files, debugging and extensions out of the box. However, it encourages patterns that can lead to issues like lack of configuration control, difficulty with composite apps, abuse of templates outside web contexts, reliance on global variables, and lack of asynchronous support. Alternatives include using Flask in a less self-destructive way by avoiding decorators and global variables, or moving to asynchronous frameworks like aiohttp. The key problems are that Flask encourages monolithic apps and global state rather than proper dependency management and configuration.
The document provides an overview of advanced patterns in Flask including:
1. State management using application and request contexts to bind resources like databases.
2. Resource management using teardown callbacks to commit transactions and release resources.
3. Customizing response creation by passing response objects down a stack or replacing implicit responses.
4. Server-sent events for real-time updates using Redis pub/sub and streaming responses.
5. Separating worker processes for blocking and non-blocking tasks using tools like Gunicorn and Nginx.
6. Signing data with ItsDangerous to generate tokens and validate user activations without a database.
7. Customizing Flask like adding cache bust
This document provides an overview of Flask basics including:
- Setting up a basic Flask application with routes and templates
- Using decorators like @app.route to define routes
- Rendering templates and passing context between routes and templates
- Handling HTTP methods like GET and POST
- Using url_for to generate URLs and Jinja templates
- Testing Flask applications using the pytest framework
Slides of my talk I gave @ PyRE.it in ReggioEmilia about developing a Rest Api in Python using a little bit of Flask and SqlAlchemy.
www.pyre.it
www.alessandrocucci.it/pyre/restapi
This document introduces Flask, a Python microframework for building web applications and APIs. It shows how to create a basic "Hello World" Flask app in 3 steps: creating the Flask object, defining a route, and returning a JSON response. It then demonstrates various response types like simple text, generators, and files. It covers routing concepts like dynamic routes, default values, and REST verbs. More advanced topics discussed include static file serving, database connections, exception handling, and using blueprints to organize routes.
BUILDING MODERN PYTHON WEB FRAMEWORKS USING FLASK WITH NEIL GREYCodeCore
How to get up and running in minutes with the lean, scalable, and easy to maintain Python web framework, Flask. Attendees will get to see how Flask acts as the sturdy glue between your database framework, front-end templates and operating system. Keep an eye out for tips/tricks using SQLite, Jinja2, and Werkzeug.
Neil is a software developer with a background in 3D graphics programming and management information systems. Presently he's working with Image Engine on feature-film visual effects projects like Teenage Mutant Ninja Turtles, Elysium, Fast & Furious. He's also a co-founder of ComboMash Entertainment, an independent game studio based in Vancouver.
This document discusses Flask, a Python-based web application framework. It provides an overview of Flask fundamentals like backend development, virtual environments, routes, templates, and error handling. It also covers additional Flask features like extensions, MongoDB integration, and building REST APIs. The document uses code samples and file structure examples to demonstrate how to structure and deploy a Flask application on Heroku.
This document provides an overview of Flask, a microframework for Python. It discusses that Flask is easy to code and configure, extensible via extensions, and uses Jinja2 templating and SQLAlchemy ORM. It then provides a step-by-step guide to setting up a Flask application, including creating a virtualenv, basic routing, models, forms, templates, and views. Configuration and running the application are also covered at a high level.
Flask is a Python web framework that provides templates, sessions, static files, debugging and extensions out of the box. However, it encourages patterns that can lead to issues like lack of configuration control, difficulty with composite apps, abuse of templates outside web contexts, reliance on global variables, and lack of asynchronous support. Alternatives include using Flask in a less self-destructive way by avoiding decorators and global variables, or moving to asynchronous frameworks like aiohttp. The key problems are that Flask encourages monolithic apps and global state rather than proper dependency management and configuration.
The document provides an overview of advanced patterns in Flask including:
1. State management using application and request contexts to bind resources like databases.
2. Resource management using teardown callbacks to commit transactions and release resources.
3. Customizing response creation by passing response objects down a stack or replacing implicit responses.
4. Server-sent events for real-time updates using Redis pub/sub and streaming responses.
5. Separating worker processes for blocking and non-blocking tasks using tools like Gunicorn and Nginx.
6. Signing data with ItsDangerous to generate tokens and validate user activations without a database.
7. Customizing Flask like adding cache bust
This document provides an overview of Flask basics including:
- Setting up a basic Flask application with routes and templates
- Using decorators like @app.route to define routes
- Rendering templates and passing context between routes and templates
- Handling HTTP methods like GET and POST
- Using url_for to generate URLs and Jinja templates
- Testing Flask applications using the pytest framework
Slides of my talk I gave @ PyRE.it in ReggioEmilia about developing a Rest Api in Python using a little bit of Flask and SqlAlchemy.
www.pyre.it
www.alessandrocucci.it/pyre/restapi
This document introduces Flask, a Python microframework for building web applications and APIs. It shows how to create a basic "Hello World" Flask app in 3 steps: creating the Flask object, defining a route, and returning a JSON response. It then demonstrates various response types like simple text, generators, and files. It covers routing concepts like dynamic routes, default values, and REST verbs. More advanced topics discussed include static file serving, database connections, exception handling, and using blueprints to organize routes.
BUILDING MODERN PYTHON WEB FRAMEWORKS USING FLASK WITH NEIL GREYCodeCore
How to get up and running in minutes with the lean, scalable, and easy to maintain Python web framework, Flask. Attendees will get to see how Flask acts as the sturdy glue between your database framework, front-end templates and operating system. Keep an eye out for tips/tricks using SQLite, Jinja2, and Werkzeug.
Neil is a software developer with a background in 3D graphics programming and management information systems. Presently he's working with Image Engine on feature-film visual effects projects like Teenage Mutant Ninja Turtles, Elysium, Fast & Furious. He's also a co-founder of ComboMash Entertainment, an independent game studio based in Vancouver.
This document provides an overview of Flask-SQLAlchemy, which is an extension for Flask that adds support for SQLAlchemy to Flask applications. It covers basics like setting up a Flask-SQLAlchemy application, defining models, and performing CRUD operations. It also discusses more advanced topics like relationships between models, using the ORM vs manual mapping, and using the underlying SQLAlchemy API. The document includes numerous code examples to illustrate the concepts.
Laravel is a PHP MVC based framework. It is as easy as codeigniter, yet provides powerful tools needed for large robust application.It is built on top of symphony components and is inspired by many other frameworks including RoR, Asp .net, Sinatra.This session focuses on the basics things needed to start building application on it.
Flask is a micro web development framework for Python that keeps its core simple but allows for extensibility. It emphasizes building applications with extensions rather than having all functionality contained within the framework. A minimal Flask app requires only a few lines of code and runs a development server. Templates can be rendered to generate dynamic HTML content by passing context through the render_template function. Flask supports common features like request handling, cookies, sessions, and file uploads through extensions.
The document summarizes the new features and improvements in CodeIgniter 3.0. Key highlights include increased number of commits compared to previous versions, improved database features like query builder and failover connections, new features like output minification and pagination improvements, and a focus on unit testing.
Michael Peacock gave a presentation on Symfony components and related libraries. The presentation [1] introduced several Symfony components including routing, event dispatching, forms, validation, security, and HTTP foundation, [2] discussed related libraries like Pimple and Twig, and [3] covered how to install the components using Composer.
This document discusses building REST APIs with Laravel 5. It covers topics like using REST instead of SOAP, authentication with basic authentication and middleware, response formats, controller hierarchy, repositories, data transformers, error handling, and an internal dispatcher for making internal API requests. The goal is to provide best practices and patterns for building robust and well-structured REST APIs with Laravel.
Puppet is an open source tool used to automate server configuration management. It ensures servers are configured and packages installed as defined. Puppet manages configuration through resources like packages, files, users and more. It can install packages, configure files and folders, manage services, create users/groups, and run commands. Puppet applies configurations idempotently so they can be run multiple times without changing the server unless the configuration changes.
OSCON Google App Engine Codelab - July 2010ikailan
Slides for the App Engine codelab given on July 20, 2010. Note that a more verbose version of this codelab is available at:
https://sites.google.com/site/gdevelopercodelabs/app-engine/python-codelab
Slides from the GTA-PHP meetup about the new features in PHP 7. Slides had corresponding RFC pages linked to them in the speaker notes, but they don't seem to correspond to pages here so I've made the original keynote file available at http://gtaphp.org/presentations/NewInPHP7.zip and a PowerPoint version at http://gtaphp.org/presentations/NewInPHP7.pptx.
This document discusses unit testing PHP code with PHPUnit. It begins with an introduction to the speaker and then covers why testing is important, how to get started with PHPUnit, writing basic tests for a sample class, using features like data providers and expecting exceptions, and more advanced topics like stubs, mocks and testing databases and Zend Framework applications. The overall message is that testing is crucial for any PHP project and PHPUnit makes it easy to start writing tests.
Like many others, WordPress has been my personal blogging tool for a long time. A powerful tool for easy publishing! That is what everyone wants.
Large sites like TechCrunch and TheNextWeb use it exactly for that reason. And more enterprises seem to discover it as good solution to their too-expensive publication tools. But keeping those WordPress instances running requires skills and knowledge.
Because of WordPress extendibility and its very active community, you can do this too. This tutorial will teach you how use Ansible, Composer, WP-CLI, WP REST API, and Elasticsearch can push WordPress from a personal blogging tool into an enterprise-worthy level application. Out with FTP based SCM ... in with automated deployment, dependency management, and utterly fast search.
The REST API is an awesome plugin to expose your data from the WordPress core. But … the standard implementation might not fit your specific case.
Just like the WordPress core, you'll be able to extend it to your specific needs. I'll show you how to handle authentication, introduce caching strategies, alter custom post types, or even change the default way of communication altogether.
This document provides instructions for creating a simple blog using Django. It includes steps to:
1) Set up the Django project and install necessary apps like the admin interface.
2) Create a blog application with a Post model to store blog posts and configure the admin interface to manage posts.
3) Add templates to display list and detail views of posts and enable pagination for post lists.
4) Create a form to allow adding and editing blog posts from the admin and templates.
5) Provide instructions for deleting posts and include a link to download the full code files.
This document summarizes Phinx, a PHP library for managing database migrations. It allows creating migrations to modify the database schema, rolling back changes if needed. Migrations are stored in version control and can be shared. Phinx provides a table API to create migrations in a database-agnostic way and supports rolling back changes. It works with MySQL, PostgreSQL, SQLite and more.
Datagrids with Symfony 2, Backbone and Backgrideugenio pombi
This document discusses using Backbone, Backgrid, and Symfony to build a datagrid application. It covers:
1) Setting up requirements including Symfony, Backbone dependencies, and FOSRestBundle.
2) Building Backbone models, collections, and associations to retrieve and represent ticket data.
3) Implementing a Backgrid grid with columns to display the ticket data.
4) Examples of extending Backgrid with features like select editors, toggle cells, and computed fields.
5) Testing the Backbone collections and API endpoints with sample test code.
Quattro passi tra le nuvole (e non scordate il paracadute)Nicola Iarocci
Le piccole aziende italiane sono pronte ad abbracciare il cloud computing? In questa relazione racconto la mia esperienza nella realizzazione e fornitura di servizi cloud alle small business italiane. Speech tenuto in occasione del Romagna Camp 2011, il 10.9.2011
This document summarizes a hands-on session on the Django web framework. It introduces Django's architecture, installation process, basic usage including templates, models, and the ORM. Key features covered include generating static and dynamic pages, creating and querying database models, and rendering data in templates. The session demonstrates setting up a basic Django project and application with models, views, URLs and templates to display hard-coded and database content.
This document provides an overview of Flask-SQLAlchemy, which is an extension for Flask that adds support for SQLAlchemy to Flask applications. It covers basics like setting up a Flask-SQLAlchemy application, defining models, and performing CRUD operations. It also discusses more advanced topics like relationships between models, using the ORM vs manual mapping, and using the underlying SQLAlchemy API. The document includes numerous code examples to illustrate the concepts.
Laravel is a PHP MVC based framework. It is as easy as codeigniter, yet provides powerful tools needed for large robust application.It is built on top of symphony components and is inspired by many other frameworks including RoR, Asp .net, Sinatra.This session focuses on the basics things needed to start building application on it.
Flask is a micro web development framework for Python that keeps its core simple but allows for extensibility. It emphasizes building applications with extensions rather than having all functionality contained within the framework. A minimal Flask app requires only a few lines of code and runs a development server. Templates can be rendered to generate dynamic HTML content by passing context through the render_template function. Flask supports common features like request handling, cookies, sessions, and file uploads through extensions.
The document summarizes the new features and improvements in CodeIgniter 3.0. Key highlights include increased number of commits compared to previous versions, improved database features like query builder and failover connections, new features like output minification and pagination improvements, and a focus on unit testing.
Michael Peacock gave a presentation on Symfony components and related libraries. The presentation [1] introduced several Symfony components including routing, event dispatching, forms, validation, security, and HTTP foundation, [2] discussed related libraries like Pimple and Twig, and [3] covered how to install the components using Composer.
This document discusses building REST APIs with Laravel 5. It covers topics like using REST instead of SOAP, authentication with basic authentication and middleware, response formats, controller hierarchy, repositories, data transformers, error handling, and an internal dispatcher for making internal API requests. The goal is to provide best practices and patterns for building robust and well-structured REST APIs with Laravel.
Puppet is an open source tool used to automate server configuration management. It ensures servers are configured and packages installed as defined. Puppet manages configuration through resources like packages, files, users and more. It can install packages, configure files and folders, manage services, create users/groups, and run commands. Puppet applies configurations idempotently so they can be run multiple times without changing the server unless the configuration changes.
OSCON Google App Engine Codelab - July 2010ikailan
Slides for the App Engine codelab given on July 20, 2010. Note that a more verbose version of this codelab is available at:
https://sites.google.com/site/gdevelopercodelabs/app-engine/python-codelab
Slides from the GTA-PHP meetup about the new features in PHP 7. Slides had corresponding RFC pages linked to them in the speaker notes, but they don't seem to correspond to pages here so I've made the original keynote file available at http://gtaphp.org/presentations/NewInPHP7.zip and a PowerPoint version at http://gtaphp.org/presentations/NewInPHP7.pptx.
This document discusses unit testing PHP code with PHPUnit. It begins with an introduction to the speaker and then covers why testing is important, how to get started with PHPUnit, writing basic tests for a sample class, using features like data providers and expecting exceptions, and more advanced topics like stubs, mocks and testing databases and Zend Framework applications. The overall message is that testing is crucial for any PHP project and PHPUnit makes it easy to start writing tests.
Like many others, WordPress has been my personal blogging tool for a long time. A powerful tool for easy publishing! That is what everyone wants.
Large sites like TechCrunch and TheNextWeb use it exactly for that reason. And more enterprises seem to discover it as good solution to their too-expensive publication tools. But keeping those WordPress instances running requires skills and knowledge.
Because of WordPress extendibility and its very active community, you can do this too. This tutorial will teach you how use Ansible, Composer, WP-CLI, WP REST API, and Elasticsearch can push WordPress from a personal blogging tool into an enterprise-worthy level application. Out with FTP based SCM ... in with automated deployment, dependency management, and utterly fast search.
The REST API is an awesome plugin to expose your data from the WordPress core. But … the standard implementation might not fit your specific case.
Just like the WordPress core, you'll be able to extend it to your specific needs. I'll show you how to handle authentication, introduce caching strategies, alter custom post types, or even change the default way of communication altogether.
This document provides instructions for creating a simple blog using Django. It includes steps to:
1) Set up the Django project and install necessary apps like the admin interface.
2) Create a blog application with a Post model to store blog posts and configure the admin interface to manage posts.
3) Add templates to display list and detail views of posts and enable pagination for post lists.
4) Create a form to allow adding and editing blog posts from the admin and templates.
5) Provide instructions for deleting posts and include a link to download the full code files.
This document summarizes Phinx, a PHP library for managing database migrations. It allows creating migrations to modify the database schema, rolling back changes if needed. Migrations are stored in version control and can be shared. Phinx provides a table API to create migrations in a database-agnostic way and supports rolling back changes. It works with MySQL, PostgreSQL, SQLite and more.
Datagrids with Symfony 2, Backbone and Backgrideugenio pombi
This document discusses using Backbone, Backgrid, and Symfony to build a datagrid application. It covers:
1) Setting up requirements including Symfony, Backbone dependencies, and FOSRestBundle.
2) Building Backbone models, collections, and associations to retrieve and represent ticket data.
3) Implementing a Backgrid grid with columns to display the ticket data.
4) Examples of extending Backgrid with features like select editors, toggle cells, and computed fields.
5) Testing the Backbone collections and API endpoints with sample test code.
Quattro passi tra le nuvole (e non scordate il paracadute)Nicola Iarocci
Le piccole aziende italiane sono pronte ad abbracciare il cloud computing? In questa relazione racconto la mia esperienza nella realizzazione e fornitura di servizi cloud alle small business italiane. Speech tenuto in occasione del Romagna Camp 2011, il 10.9.2011
This document summarizes a hands-on session on the Django web framework. It introduces Django's architecture, installation process, basic usage including templates, models, and the ORM. Key features covered include generating static and dynamic pages, creating and querying database models, and rendering data in templates. The session demonstrates setting up a basic Django project and application with models, views, URLs and templates to display hard-coded and database content.
This document provides an overview of objects and protocols in CPython. Some key points:
- Everything in Python is an object, with a common header including a reference count and pointer to its type. Types are defined by TypeObjects which store metadata like function pointers.
- Protocols like Number, Sequence, Mapping are defined by slots on TypeObjects like tp_as_number and tp_as_sequence. These allow objects to support common operations even if they are different types, through duck typing.
- Magic methods fill in protocol slots, so e.g. a class with a __len__ method will support the len() operation by filling tp_as_sequence->sq_length. This provides a
This document provides a tour of various Python static analysis tools, including PEP8 for style guidelines, PyFlakes for unused names, Pyroma for checking setup.py files, PEP257 for docstring standards, Vulture for unused code, Pylint for code quality and standards, complexity metrics like McCabe and Halstead, maintainability index, Dodgy for security issues, Bandit also for security, Flake8 which wraps other tools, Prospector which runs multiple tools, and pre-commit for running checks before commit. It aims to help users choose the right tools to improve code quality, style, and health.
Introduction to SQLAlchemy and Alembic MigrationsJason Myers
In this talk, we'll examine how to use SQLAlchemy ORM and Core in both simple queries and query builder type applications. Next, we'll explore Alembic database migrations and how we can use them to handle database changes.
Coderfaire Data Networking for DevelopersJason Myers
This document discusses data networking concepts for developers. It provides overviews of firewalls, load balancers, caching, data flow mapping, and application performance monitoring. It explains why understanding these concepts is important for building applications with multi-tier architectures, RESTful APIs, and service-oriented architectures. Specific topics covered include packet filtering, access control lists, network address translation, load balancing algorithms, caching strategies, and using tools like New Relic for transaction tracing and performance monitoring.
Flask is a simple and small Python web framework created by Armin Ronacher. It is inspired by the Ruby framework Sinatra and focuses on keeping a small core while allowing extensions to add additional functionality through a plug-and-play approach. Flask uses Jinja2 as its templating engine and the WSGI interface to handle HTTP requests and responses and route URLs.
RESTful Web API and MongoDB go for a pic nicNicola Iarocci
Why and how MongoDB is a perfect match for building your next RESTful Web API. Presented at: NoSQL Day 2013 (Udine, Italy), MongoTorino 2013 (Turin, Italy), A Morning With MongoDB (Milan).
Introducing the Eve REST API Framework.
FOSDEM 2014, Brussels
PyCon Sweden 2014, Stockholm
PyCon Italy 2014, Florence
Python Meetup, Helsinki
EuroPython 2014, Berlin
SQLAlchemy is a popular database framework that provides an ORM and a schema centric query language, and in this talk we will take a look how to get started with the ORM. We'll learn how to establish connections to popular databases such as PostgreSQL and MySQL. Then we will look at how to define our models as user classes including relationships and persist them to the database. Next, we'll cover the how the SQLAlchemy session works with typical create, update, read, and delete operations. We'll wrap up with pointers of where to go next to learn more.
This document discusses using MongoDB as the database for a RESTful web API. Some key points:
- MongoDB's schema-less and JSON-like data structure makes it a natural fit for storing and retrieving JSON data from a REST API. The document formats can be directly mapped to and from the database.
- Common CRUD operations like getting, inserting, updating and deleting documents can be easily implemented with MongoDB's simple API. Queries can be expressed in JSON format.
- MongoDB is lightweight, allows flexible schemas, and has fast performance for common operations needed in a REST API backed by a database.
- The document uses examples of how a hypothetical REST API for a "contacts" resource might work,
This document summarizes how to build a web application using Flask. It introduces HTTP requests and responses, and how Flask works with request and response objects. It then provides an example of building a basic Flask app with a view function to display "Hello World", and how to use Jinja templates to separate code and markup. The document also discusses using HTML forms to submit data via GET and POST requests.
This document discusses UI functional testing with Selenium and Python. It provides an overview of Selenium IDE, WebDriver, Server and Grid. It describes how Selenium IDE is a Firefox plugin that allows recording and playback of tests. WebDriver allows controlling browsers programmatically and supports many languages. The document also demonstrates different locator strategies like ID, XPath, name, CSS and link text that can be used with WebDriver. It shows examples of interacting with page elements by sending keys, clicking, and selecting options. Finally, it mentions that WebDriver Server allows parallel test execution across browsers using technologies like Azure.
The document discusses Django Channels, which is an initiative to rewrite Django's core to support WebSockets and background tasks. Django was awarded a $150,000 grant to fund the development of Channels. Channels uses three separate layers - interface servers, a channel backend, and workers. It allows defining consumer functions for different channel types. Groups can be used to broadcast messages to multiple consumers instead of sending individually. The document provides an example chat room application built with Channels.
1) The document provides details on various aspects of Flask application development including typical project structure, blueprints, databases, forms and validation, management commands, assets management, testing, and debugging.
2) It discusses Flask extensions for these areas such as Flask-SQLAlchemy, Flask-Werkzeug, Flask-Assets, Flask-Mail, and Flask-DebugToolbar.
3) The document raises some issues around porting Flask to Python 3 and the size and scope of the Werkzeug library that Flask is built upon.
What The Flask? and how to use it with some Google APIsBruno Rocha
Flask is a microframework for Python that provides common tools and patterns for building web applications but does not enforce any specific project structure. It includes the Werkzeug WSGI toolkit and Jinja templating engine. Flask emphasizes simplicity and flexibility by providing basic application object and request context while allowing developers to choose extensions and build application-specific solutions. It is well-suited for Google App Engine by providing a Flask application object that can be deployed to GAE and extensions that integrate authentication and maps.
This document provides tips and instructions for hardening WordPress security through configuration of .htaccess files and plugins. It recommends regularly backing up databases and files, using strong passwords, hiding admin usernames, blocking bad bots and proxy visits, protecting wp-config.php, and using plugins like Wordfence, Sucuri, and iThemes Security to scan for vulnerabilities and log activity.
The document discusses various strategies for deploying and maintaining Pyramid web applications. It covers deployment options using Nginx, Apache with mod_wsgi, and Paste. It also discusses using buildout, supervisor, scripting, exception logging, backups, staging environments, caching, monitoring, and replication. The case study at the end describes how the open source KARL project deploys their Pyramid application using Nginx, HAProxy, Paste, Supervisor, buildout, and a custom package index on GitHub.
Python from zero to hero (Twitter Explorer)Yuriy Senko
This document outlines steps to build a Twitter explorer application using Python and Flask. It begins with setting up the virtual environment and cloning the GitHub repository. It then walks through steps to add basic functionality like configuration, templates, a database with SQLAlchemy ORM, user authentication with Flask plugins, and finally integrating the Twitter API. Each step includes changes to files, dependencies in requirements.txt, and commands to test and view progress. The goal is to create a full-stack web application to explore tweets from the Twitter API.
In this talk, Carlos de la Guardia shows how a Pyramid application can be deployed using a front end web server, like Apache or Nginx. He also covers how to automate deployment using buildout and a PyPI clone, and post-deployment creation of a variety of maintenance scripts and cron jobs that perform application specific tasks through Pyramid.
A link to audio of the presentation is here: http://2011ploneconference.sched.org/event/29a2f357905e4ab0fe3048c53bc1c94c
Web development automatisation for fun and profit (Artem Daniliants)LumoSpark
This document discusses various techniques for automating web development tasks including using Git hooks to automate commits, running tests and checking for errors. It also discusses using tools like Grunt, Selenium and Docker to automate tasks like image optimization, testing, and continuous deployment. Additional topics covered include leveraging services like Heroku, Cloudflare, and Let's Encrypt to improve site performance, security and reduce costs.
The document summarizes key points from a WordPress meetup discussion on plugin development:
- Mostafa Soufi discussed why developers make plugins and what plugins are comprised of. He suggested starting a new plugin by creating directories and files and adding a readme file.
- Navid Kashani recommended focusing on support from the beginning by improving support processes, solving issues proactively, setting metrics, and using a central support channel like Slack. Hiring a support person is not necessary initially.
- The discussion covered plugin best practices like internationalization, shortcodes, activation hooks, caching with transients, security techniques, and answering questions from attendees.
Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python...Edureka!
This document provides an overview of Flask, a Python-based web application framework. It begins with an introduction to Flask, explaining what Flask is and its advantages like being open source with a large community. It then covers topics like installing Flask, creating Flask applications, routing, templates, static files, the request object, cookies, redirects and errors. It concludes by mentioning some popular Flask extensions that add additional functionality for tasks like email, forms, databases and AJAX. The document appears to be from an online training course on Flask and aims to teach the basics of how to use the Flask framework to build web applications.
Burn down the silos! Helping dev and ops gel on high availability websitesLindsay Holmwood
HA websites are where the rubber meets the road - at 200km/h. Traditional separation of dev and ops just doesn't cut it.
Everything is related to everything. Code relies on performant and resilient infrastructure, but highly performant infrastructure will only get a poorly written application so far. Worse still, root cause analysis in HA sites will more often than not identify problems that don't clearly belong to either devs or ops.
The two options are collaborate or die.
This talk will introduce 3 core principles for improving collaboration between operations and development teams: consistency, repeatability, and visibility. These principles will be investigated with real world case studies and associated technologies audience members can start using now. In particular, there will be a focus on:
- fast provisioning of test environments with configuration management
- reliable and repeatable automated deployments
- application and infrastructure visibility with statistics collection, logging, and visualisation
Large scale machine learning projects with R SuiteWLOG Solutions
Presentation from a workshop delivered by company's CEO Wit Jakuczun during ML@Enterprise conference that took place on 14th of December 2017 in Warsaw. Check https://github.com/WLOGSolutions/MLForum2017) for R code generated during this workshop.
Machine Learning is not only about algorithms. Machine learning is about value and this can be achieved only after proper deployment of Machine Learning solutions. I will present best practices regarding managing R based ML projects. I will use our open-source tool R Suite (http://rsuite.io/). During the workshop I will talk about:
– project structure
– development cycle
– deployment
– test
Large scale machine learning projects with r suiteWit Jakuczun
Agenda for the workshop I conducted at ML@Enterprise conference that took place on 14th of December 2017 in Warsaw.
Machine Learning is not only about algorithms. Machine learning is about value and this can be achieved only after proper deployment of Machine Learning solutions. I will present best practices regarding managing R based ML projects. I will use our open-source tool R Suite (http://rsuite.io/). During the workshop I will talk about:
– project structure
– development cycle
– deployment
– test
This document contains notes from a meeting on web application security. It discusses several common vulnerabilities like SQL injection, cross-site scripting (XSS), and clickjacking. It provides examples of how these vulnerabilities can occur and ways to prevent them, such as sanitizing user input, enabling CSRF protection middleware, and using the X-Frame-Options header. Keywords discussed include MySQL, Docker, Kubernetes, Ansible, and various attack vectors like CSRF, XSS, SQL injection, and clickjacking. The document aims to educate on security best practices for Python and Django web applications.
Like many others, WordPress has been my personal blogging tool for a long time. A powerful tool for easy publishing! That is what everyone wants.
Large sites like TechCrunch and TheNextWeb use it exactly for that reason. And more enterprises seem to discover it as good solution to their too-expensive publication tools. But keeping those WordPress instances running requires skills and knowledge.
Because of WordPress extendibility and its very active community, you can do this too. This tutorial will teach you how use Ansible, Composer, WP-CLI, WP REST API, and Elasticsearch can push WordPress from a personal blogging tool into an enterprise-worthy level application. Out with FTP based SCM ... in with automated deployment, dependency management, and utterly fast search.
Gentle introduction to Pyramid. Where it comes from, how simple it, how fast, how flexible and why the future will be pyramid shaped.
Made for pyconau 2011
BP501 - Building and deploying custom IBM sametime connect client installatio...Carl Tyler
IBM Sametime Connect is a powerful unified communications client, offering real-time communications capabilities. In this session, we'll cover how to build custom IBM Sametime installation packages, how to include interim fixes in the installation. We'll also cover how to customize various aspects of the client install with the installer, and how to ensure the install and uninstall is configured correctly. We'll also explain how you can manage IBM Sametime settings from the server post installation.
Presented by Carl Tyler of Epilio at IBM Connection 2014
This document provides information on using Spring Boot Actuator to add production-ready features like health monitoring, metrics collection, and auditing to Spring Boot applications. It describes built-in endpoints like /health and /metrics that provide health checks and application metrics. It also shows how to add custom health indicators, record custom metrics, and export metrics to external systems.
The document provides a history and overview of the Symfony framework. It describes the initial release of Symfony 1.0 in 2007 and key updates through 1.4 in 2009. It then introduces Symfony 2 as a next generation version with a new low-level architecture built for PHP 5.3. The document provides examples of how configuration, routing, and controllers work in Symfony 2 through PHP code snippets and configuration files. It highlights improvements in Symfony 2 like increased flexibility in configuration through the dependency injection container.
The document provides instructions on creating a simple person maintenance screen in Oracle Application Framework (OAF). It includes steps to create a database table to store person details, populate it with sample data, generate the necessary OAF business components like the entity object, view object and application module, and build the UI page with search and display regions. The overall goal is to build a working OAF page to view and search person records without any Java coding.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
11. MANAGE.PY
#! /usr/bin/env python
import os
from flask.ext.script import Manager
from flaskfilled import create_app
app = create_app(os.getenv('FLASK_CONFIG') or 'default')
manager = Manager(app)
if __name__ == '__main__':
manager.run()
12. SHELL WITH CONTEXT
from flask.ext.script import Shell
def make_shell_context():
return dict(app=app)
manager.add_command('shell', Shell(make_context=make_shell_context))
13. $ python manage.py
usage: manage.py [-?] {runserver,shell} ...
positional arguments:
{runserver,shell}
runserver Runs the Flask development server i.e. app.run()
shell Runs a Python shell inside Flask application context.
optional arguments:
-?, --help show this help message and exit
16. FLASK-SQLALCHEMY
Single wrapper for most of SQLAlchemy
Preconfigured scope session
Sessions are tied to the page lifecycle
pip install flask-sqlalchemy
17. __INIT__.PY
from flask.ext.sqlalchemy import SQLAlchemy
db = SQLAlchemy()
def create_app(config_name):
app = Flask(__name__)
app.config.from_object(config[config_name])
db.init_app(app)
return app
19. FLASKFILLED/MODELS.PY
from flaskfilled import db
class Cookie(db.Model):
__tablename__ = 'cookies'
cookie_id = db.Column(db.Integer(), primary_key=True)
cookie_name = db.Column(db.String(50), index=True)
cookie_recipe_url = db.Column(db.String(255))
quantity = db.Column(db.Integer())
20. MANAGE.PY
from flask.ext.script import Command
from flaskfilled import db
from flaskfilled.models import Cookies
def make_shell_context():
return dict(app=app, db=db)
class DevDbInit(Command):
'''Creates database tables from sqlalchemy models'''
def __init__(self, db):
self.db = db
def run(self):
self.db.create_all()
21. $ python manage.py db_init
$ python manage.py shell
In [1]: db.metadata.tables
Out[1]: immutabledict({'cookies': Table('cookies', 'stuff')})
In [2]: from flaskfilled.models import Cookie
22. c = Cookie(cookie_name="Chocolate Chip",
cookie_recipe_url="http://zenofthecookie.com/chocolatechip.html"
quantity=2)
db.session.add(c)
db.session.commit()
27. GENERATING A MIGRATION
$ python manage.py db migrate -m "initial migration"
INFO [alembic.migration] Context impl SQLiteImpl.
INFO [alembic.migration] Will assume non-transactional DDL.
Generating flask-filled/migrations/versions/586131216f6_initial_migration.p
28. RUNNING MIGRATIONS
$ python manage.py db upgrade
INFO [alembic.migration] Context impl SQLiteImpl.
INFO [alembic.migration] Will assume non-transactional DDL.
INFO [alembic.migration] Running upgrade -> 586131216f6, initial migration
31. FLASKFILLED/__INIT__.PY
from flask.ext.login import LoginManager
login_manager = LoginManager()
def create_app(config_name):
app = Flask(__name__)
app.config.from_object(config[config_name])
db.init_app(app)
login_manager.setup_app(app)
from .main import main as main_blueprint
app.register_blueprint(main_blueprint)
from .auth import auth as auth_blueprint
app.register_blueprint(auth_blueprint, url_prefix='/auth')
32. MODELS.PY
from werkzeug.security import generate_password_hash, check_password_hash
from flaskfilled import login_manager
class User(db.Model, UserMixin):
__tablename__ = 'users'
id = db.Column(db.Integer(), primary_key=True)
username = db.Column(db.String, primary_key=True)
password = db.Column(db.String)
authenticated = db.Column(db.Boolean, default=False)
33. USER MODEL REQUIRED METHODS
PROVIDED BY USERMIXIN
def is_active(self):
return True
def get_id(self):
return self.id
def is_authenticated(self):
return self.authenticated
def is_anonymous(self):
return False
34. USER MODEL PASSWORD HANDLING
@property
def password(self):
raise AttributeError('password is not a readable attribute')
@password.setter
def password(self, password):
self.password_hash = generate_password_hash(password)
def verify_password(self, password):
return check_password_hash(self.password_hash, password)
35. SETTING UP THE AUTH BLUEPRINT
AUTH/__INIT__.PY
from flask import Blueprint
auth = Blueprint('auth', __name__)
from . import views
36. AUTH/VIEWS.PY
from flask import render_template, redirect, request, url_for, flash
from flask.ext.login import login_user, logout_user, login_required
from . import auth
from flaskfilled.models import User
37. LOGIN
@auth.route('/login', methods=['GET', 'POST'])
def login():
if request.method == 'POST':
username = request.form.get('username', '')
password = request.form.get('password', '')
user = User.query.filter_by(username=username).first()
if user is not None and user.verify_password(password):
login_user(user)
next = request.args.get('next')
return redirect(next or url_for('main.index'))
else:
flash('Wrong username or password.')
return render_template('auth/login.html')
40. MAIN/VIEWS.PY
from flask import render_template
from . import main
@main.route('/', methods=['GET'])
def index():
return render_template('main/index.html')
41. INDEX TEMPLATE
{% extends "base.html" %}
{% block title %}The Index{% endblock %}
{% block page_content %}
{% if not current_user.is_authenticated() %}
<p><a href="{{ url_for('auth.login') }}">Click here to login</a>.</p
{% else %}
<p><a href="{{ url_for('auth.logout') }}">Click here to logout</a>.</
{% endif %}
{% endblock %}
42. CREATE USERS MIGRATION AND
APPLY IT
$ python manage.py db migrate -m "User"
Generating /Users/jasonamyers/dev/flask-filled/migrations/versions/8d9327f0
$ python manage.py db upgrade
INFO [alembic.migration] Running upgrade 586131216f6 -> 8d9327f04f, User
51. AUTH/FORMS.PY
from flask.ext.wtf import Form
from wtforms import StringField, PasswordField, SubmitField
from wtforms.validators import Required, Length
class LoginForm(Form):
username = StringField('username', validators=[Required(),
Length(1, 64)])
password = PasswordField('Password', validators=[Required()])
submit = SubmitField('Log In')
52. AUTH/VIEWS.PY
@auth.route('/login', methods=['GET', 'POST'])
def login():
form = LoginForm()
if form.validate_on_submit():
user = User.query.filter_by(username=form.username.data).first()
if user is not None and user.verify_password(form.password.data):
login_user(user)
next = request.args.get('next')
return redirect(next or url_for('main.index'))
else:
flash('Wrong username or password.')
return render_template('auth/login.html', form=form)
53. TEMPLATES/AUTH/LOGIN.HTML
{% block page_content %}
<div class="col-md-4">
<form action="" method="POST">
{{ form.csrf_token }}
{% if form.csrf_token.errors %}
<div class="warning">You have submitted an invalid CSRF token</
{% endif %}
{{form.username.label }}: {{ form.username }}
{% if form.username.errors %}
{% for error in form.username.errors %}
{{ error }}
{% endfor %}
{% endif %}<br>
{{form.password.label }}: {{ form.password }}
{% if form.password.errors %}
{% for error in form.password.errors %}
{{ error }}
57. MODELS.PY
roles_users = db.Table('roles_users',
db.Column('user_id', db.Integer(),
db.ForeignKey('users.user_id')),
db.Column('role_id', db.Integer(),
db.ForeignKey('roles.id')))
class Role(db.Model):
__tablename__ = 'roles'
id = db.Column(db.Integer(), primary_key=True)
name = db.Column(db.String(80), unique=True)
description = db.Column(db.String(255))
58. MODELS.PY - USER CLASS
class User(db.Model, UserMixin):
roles = db.relationship('Role', secondary=roles_users,
primaryjoin=user_id == roles_users.c.user_id
backref='users')
59. MODELS.PY - IDENTITY LOADER
@identity_loaded.connect
def on_identity_loaded(sender, identity):
# Set the identity user object
identity.user = current_user
# Add the UserNeed to the identity
if hasattr(current_user, 'id'):
identity.provides.add(UserNeed(current_user.id))
# Assuming the User model has a list of roles, update the
# identity with the roles that the user provides
if hasattr(current_user, 'roles'):
for role in current_user.roles:
identity.provides.add(RoleNeed(role.name))
60. AUTH/VIEWS.PY
from flask import current_app
from flask.ext.principal import identity_changed, Identity
@auth.route('/login', methods=['GET', 'POST'])
def login():
form = LoginForm()
if form.validate_on_submit():
user = User.query.filter_by(username=form.username.data).first()
if user is not None and user.verify_password(form.password.data):
login_user(user)
identity_changed.send(current_app._get_current_object(),
identity=Identity(user.user_id))
next = request.args.get('next')
return redirect(next or url_for('main.index'))
else: