Python was created by Guido van Rossum in the late 1980s and named after Monty Python. It is a general purpose, high-level programming language that supports multiple paradigms like object-oriented, functional, and imperative programming. Django is a Python web framework that grew out of a newspaper project and follows the MVC pattern, separating concerns into models, views, templates. It provides tools for authentication, forms, administration, and more so that developers can focus on their specific applications.
This is a starting point for applications with complex business logic. It is a PHP MVC skeleton with a Domain (Domain Model), Data Mapper and Service Layer. It uses Zend Framework 2 however may be ported to other frameworks quite easily. You are welcome to use it as the foundation for your next application.
This is a starting point for applications with complex business logic. It is a PHP MVC skeleton with a Domain (Domain Model), Data Mapper and Service Layer. It uses Zend Framework 2 however may be ported to other frameworks quite easily. You are welcome to use it as the foundation for your next application.
Some features that make it well-suited for data transfer:
It's simultaneously human- and machine-readable format;
It has support for Unicode, allowing almost any information in any human language to be communicated;
The self-documenting format that describes structure and field names as well as specific values;
The strict syntax and parsing requirements that allow the necessary parsing algorithms to remain simple, efficient, and consistent;
The ability to represent the most general computer science data structures: records, lists and trees.
Some features that make it well-suited for data transfer:
It's simultaneously human- and machine-readable format;
It has support for Unicode, allowing almost any information in any human language to be communicated;
The self-documenting format that describes structure and field names as well as specific values;
The strict syntax and parsing requirements that allow the necessary parsing algorithms to remain simple, efficient, and consistent;
The ability to represent the most general computer science data structures: records, lists and trees.
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This presentation demonstrates how QueryPath can be used within Drupal to integrate web services and create rich mash-ups.
The "official" DrupalCon Paris video of this presentation can be found here: http://technosophos.com/content/querypath-mashups-and-web-services-video
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A Web Framework that shortens the Time it takes to develop software in at least an Order of Magnitude. while also tremendously minimizing Effort Pain, Time waste, Complexity, Cost of change & more
The talk presents the sfSolrPlugin which transparently integrates the Solr search engine into symfony.
The talk explains :
* the features of the solr search engine
* how to integrate the search engine into symfony
* complex search : faceted and geolocalized search
* usage example : http://www.menugourmet.com and http://resolutionfinder.org
A peek into Python's Metaclass and Bytecode from a Smalltalk UserKoan-Sin Tan
Understanding object model and bytecode is a crucial part in understanding an interpreted object-oriented language. Smalltalk, one of the oldest object-oriented programming languages, has a great object model and has been used bytecode and VM since 1970s. It is interesting to compare Smalltalk's and Python's object model and bytecode. Guido once said "I remember being surprised by its use of metaclasses (which is quite different from that in Python or Ruby!) when I read about them much later. " and "Smalltalk's bytecode was a bigger influence of Python's bytecode though." It is interesting to compare Smalltalk's and Python's metacalss and bytecode.
Django apps and ORM Beyond the basics [Meetup hosted by Prodeers.com]Udit Gangwani
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.
Following is the agenda of the meetup:
1. How to get started with Django
2. Advanced overview of Django components
1. Views
2. Models
3. Templates
4. Middlewares
5. Routing
3. Deep dive into Django ORM
4. How to write complex Django queries using Model Managers, Query Sets and Q library
5. How do Django models work internally
Whether you're a newer Django developer wanting to improve your understanding of some key concepts, or a seasoned Djangonaut, there should be something for you.
Introducing Monsoon PHP Framework (monsoonphp.com). You can maintain your API and CLI code in the same codebase of your Application using the MVC pattern. The framework assists developers in creating a simple, fast and secure application very quickly. See this slideshow for an introduction. Proudly made in Bhārat (India).
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. Python
!
• Created by Guido van Rossum
in the late 1980s
!
• Named after ‘Monty Python’s
Flying Circus’
!
• Python 2.0 was released on 16
October 2000
!
• Python 3.0 a major,
backwards-incompatible
release, was released on 3
December 2008
!
• Guido is the BDFL
3. Python
• General Purpose, high-level programming language
• Supports multiple programming paradigms
• object-oriented, functional, structured, imperative(?)
• Dynamically typed
• Many implementations
• CPython (reference)
• Jython
• IronPython .. and many more
4. The Zen of Python
• “Core philosophy”
• Beautiful is better than ugly
• Explicit is better than implicit
• Simple is better than complex
• Complex is better than complicated
• Readability counts
• >>> import this
6. Functions
• Defined using the keyword.. def
• Followed by the function name and the parenthesized list of formal parameters.
• The statements that form the body of the function start at the next line,
• and must be indented (just like this line)
• The first statement of the function body can optionally be a string literal
• this string literal is the function’s documentation string, or docstring.
• Arguments are passed using call by value (where the value is always an object
reference, not the value of the object)
• Functions always return a value
• If not return is explicitly defined, the function returns None
7. Control Flow
• if
• if…elif…else
• for
• range
• break, continue, else
• while
8. Truthi-nessTM
• An empty list ([])
• An empty tuple (())
• An empty dictionary ({})
• An empty string ('')
• Zero (0)
• The special object None
• The object False (obviously)
• Custom objects that define their own Boolean context behavior (this is
advanced Python usage)
9. Modules and Packages
• A module is a file containing Python definitions and statements.
• The file name is the module name with the suffix .py appended.
• Within a module, the module’s name (as a string) is available as the value of the
global variable __name__
• Modules can be executed as a script
• python module.py [args]
• __name__ is set to __main__
• Packages are a way of structuring Python’s module namespace by using “dotted
module names”
• The __init__.py file is required to make Python treat a directory as containing
packages
10. Classes
• Python’s class mechanism adds classes with a minimum of new syntax and
semantics
• Python classes provide all the standard features of Object Oriented
Programming
• multiple base classes
• a derived class can override any methods of its base class or classes
• a method can call the method of a base class with the same name
• Objects can contain arbitrary amounts and kinds of data
• Class and Instance Variables
• Static Methods
11. Standard Library
• Operating System Interface
• File handling
• String pattern matching
• Regular expressions
• Mathematics
• Internet Access
• Dates and Times
• Collections
• Unit Tests
14. Django
• Django grew organically from real-world applications
• Born in the fall of 2003, in Lawrence, Kansas, USA
• Adrian Holovaty and Simon Willison - web
programmers at the Lawrence Journal-World
newspaper
• Released it in July 2005 and named it Django, after the
jazz guitarist Django Reinhard
• “For Perfectionists with Deadlines”
15. Getting Started
• Installation
• pip install Django
• ¯_(ツ)_/¯
• Creating a Django project
• django-admin.py startproject django_example
• Adding an ‘app’ to your Django project
• python manage.py startapp music
16. MVC - Separation of Concerns
• models.py
• description of the database table, represented by a Python class, called a model
• create, retrieve, update and delete records in your database using simple Python code
• views.py
• contains the business logic for the page
• contains functions, each of which are called a view functions or simply views
• urls.py
• file specifies which view is called for a given URL pattern
• Templates
• describes the design of the page
• uses a template language with basic logic statements
17. models.py
• Each model is represented by a class that subclasses django.db.models.Model
• Class variables represents a database fields in the model
• A field is represented by an instance of a Field class eg CharField,
DateTimeField
• The name of each Field instance is used by the database as the column name
• Some Field classes have required arguments, others have optional arguments
• CharField, for example, requires that you give it a max_length
• default is an optional argument for many Field classes
• ForeignKey field is used to define relationships
• Django supports many-to-one, many-to-many and one-to-one
18. Queries
• Each model has at least one Manager, and it’s called objects by default.
• Managers are accessible only via model classes
• Enforce a separation between “table-level” operations and “record-
level” operations.
• A QuerySet represents a collection of objects from your database
• It can have zero, one or many filters
• A QuerySet equates to a SELECT statement, and a filter is a limiting
clause such as WHERE or LIMIT.
• Example
19. Migrations
• New in Django 1.7
• Previously accomplished by an external package called south
• Keeps the database in sync with the model objects
• Commands
• migrate
• makemigrations
• sqlmigrate
• squashmigrations
• Data Migrations
• python manage.py makemigrations --empty music
20. urls.py
• Django lets you design URLs however you want, with no
framework limitations.
• “Cool URIs don’t change”
• URL configuration module (URLconf)
• simple mapping between URL patterns (regular expressions)
to Python functions (views)
• capture parts of URL as parameters to view function (named
groups)
• can be constructed dynamically
21. views.py
• A Python function that takes a Web request and returns a Web response
• HTML contents of a Web page,
• a redirect, or a 404 error,
• an XML document,
• an image
• . . . or anything
• The convention is to put views in a file called views.py
• but it can be pretty much anywhere on your python path
• ‘Django Shortcuts’
• redirect, reverse, render_to_response,
22. Templates
• Designed to strike a balance between power and ease
• A template is simply a text file. It can generate any text-based format (HTML, XML,
CSV, etc.).
• Variables - {{ variable }}
• Replaced with values when the template is evaluated
• Use a dot (.) to access attributes of a variable
• Dictionary lookup, attribute or method lookup or numeric index lookup
• {{ person.name }} or {{ person.get_full_name }} or {{ books.
1 }}
• Filters can be used to modify variables for display
• {{ name|lower }}
23. Templates
• Tags control the logic of the template
• {% tag %}
• Commonly used tags
• for
• if, elif and else
• block and extends - Template inheritance
24. Template Inheritance
• Most powerful part of Django’s template engine
• Build a base “skeleton” template that contains all the
common elements of your site and defines blocks that
child templates can override.
• {% extends %} must be the first template tag in that
template.
• More {% block %} tags in your base templates are
better
• Child templates don’t have to define all parent blocks
25. Forms
• Django handles three distinct parts of the work involved in forms
• preparing and restructuring data ready for rendering
• creating HTML forms for the data
• receiving and processing submitted forms and data from the client
• The Django Form class
• Form class’ fields map to HTML form <input> elements
• Fields manage form data and perform validation when a form is submitted
• Fields are represented to a user in the browser as HTML “widgets”
• Each field type has an appropriate default Widget class, but these can be
overridden as required.
26. Batteries (still) included
• Authentication and Authorization
• Emails
• File Uploads
• Session
• Caching
• Transactions
• .. and so on
27. See also..
• The Django ‘admin’ app
• django-admin.py and manage.py
• ModelForms
• Generic Views or Class based views
• Static File deployment
• Settings
• Middleware
• Similar to Servlet Filters in Java
28. References
• Python - Wikipedia page (http://en.wikipedia.org/wiki/
Python_(programming_language))
• The Python Tutorial (https://docs.python.org/2/tutorial/
index.html)
• The Django Project (https://www.djangoproject.com/)
• The Django Book (http://www.djangobook.com/en/2.0/
index.html)
• The Django Documentation (https://
docs.djangoproject.com/en/1.7/)