The document provides an overview of key Python concepts including data types, operators, control flow statements, functions, objects and classes. It discusses lists in depth, covering creation, iteration, searching and common list methods. It also briefly touches on modules, exceptions, inheritance and other advanced topics.
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
Python 101++: Let's Get Down to Business!Paige Bailey
You've started the Codecademy and Coursera courses; you've thumbed through Zed Shaw's "Learn Python the Hard Way"; and now you're itching to see what Python can help you do. This is the workshop for you!
Here's the breakdown: we're going to be taking you on a whirlwind tour of Python's capabilities. By the end of the workshop, you should be able to easily follow any of the widely available Python courses on the internet, and have a grasp on some of the more complex aspects of the language.
Please don't forget to bring your personal laptop!
Audience: This course is aimed at those who already have some basic programming experience, either in Python or in another high level programming language (such as C/C++, Fortran, Java, Ruby, Perl, or Visual Basic). If you're an absolute beginner -- new to Python, and new to programming in general -- make sure to check out the "Python 101" workshop!
The basics of Python are rather straightforward. In a few minutes you can learn most of the syntax. There are some gotchas along the way that might appear tricky. This talk is meant to bring programmers up to speed with Python. They should be able to read and write Python.
Introduction to the Python programming language (version 2.x)
Ambient intelligence: technology and design
http://bit.ly/polito-ami
Politecnico di Torino, 2015
Python 101++: Let's Get Down to Business!Paige Bailey
You've started the Codecademy and Coursera courses; you've thumbed through Zed Shaw's "Learn Python the Hard Way"; and now you're itching to see what Python can help you do. This is the workshop for you!
Here's the breakdown: we're going to be taking you on a whirlwind tour of Python's capabilities. By the end of the workshop, you should be able to easily follow any of the widely available Python courses on the internet, and have a grasp on some of the more complex aspects of the language.
Please don't forget to bring your personal laptop!
Audience: This course is aimed at those who already have some basic programming experience, either in Python or in another high level programming language (such as C/C++, Fortran, Java, Ruby, Perl, or Visual Basic). If you're an absolute beginner -- new to Python, and new to programming in general -- make sure to check out the "Python 101" workshop!
Python is an interpreted, high-level, and general-purpose programming language.
It is an easy to learn general-purpose programing language.
It is a platform-independent programing language, which means it can be used on any machine and in any operating system.
It has a simple syntax
Python is a case sensitive language.
It is an interrupted language.
It is free to use and even free for commercial products.
Presented at 8th Light University London (13th May 2016)
Do this, do that. Coding from assembler to shell scripting, from the mainstream languages of the last century to the mainstream languages now, is dominated by an imperative style. From how we teach variables — they vary, right? — to how we talk about databases, we are constantly looking at state as a thing to be changed and programming languages are structured in terms of the mechanics of change — assignment, loops and how code can be threaded (cautiously) with concurrency.
Functional programming, mark-up languages, schemas, persistent data structures and more are all based around a more declarative approach to code, where instead of reasoning in terms of who does what to whom and what the consequences are, relationships and uses are described, and the flow of execution follows from how functions, data and other structures are composed. This talk will look at the differences between imperative and declarative approaches, offering lessons, habits and techniques that are applicable from requirements through to code and tests in mainstream languages.
learn how to program with python
from scratch to be an expert
use the link in the first slide to get the full course
here is the link if you want : https://oke.io/JdxdUl
the link of the documentation : https://oke.io/J6DeY3
link to download python : https://oke.io/BENgRLR2
Introduction to the basics of Python programming (part 3)Pedro Rodrigues
This is the 3rd part of a multi-part series that teaches the basics of Python programming. It covers list and dict comprehensions, functions, modules and packages.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
This presentation covers Python most important data structures like Lists, Dictionaries, Sets and Tuples. Exception Handling and Random number generation using simple python module "random" also covered. Added simple python programs at the end of the presentation
Python is an interpreted, high-level, and general-purpose programming language.
It is an easy to learn general-purpose programing language.
It is a platform-independent programing language, which means it can be used on any machine and in any operating system.
It has a simple syntax
Python is a case sensitive language.
It is an interrupted language.
It is free to use and even free for commercial products.
Presented at 8th Light University London (13th May 2016)
Do this, do that. Coding from assembler to shell scripting, from the mainstream languages of the last century to the mainstream languages now, is dominated by an imperative style. From how we teach variables — they vary, right? — to how we talk about databases, we are constantly looking at state as a thing to be changed and programming languages are structured in terms of the mechanics of change — assignment, loops and how code can be threaded (cautiously) with concurrency.
Functional programming, mark-up languages, schemas, persistent data structures and more are all based around a more declarative approach to code, where instead of reasoning in terms of who does what to whom and what the consequences are, relationships and uses are described, and the flow of execution follows from how functions, data and other structures are composed. This talk will look at the differences between imperative and declarative approaches, offering lessons, habits and techniques that are applicable from requirements through to code and tests in mainstream languages.
learn how to program with python
from scratch to be an expert
use the link in the first slide to get the full course
here is the link if you want : https://oke.io/JdxdUl
the link of the documentation : https://oke.io/J6DeY3
link to download python : https://oke.io/BENgRLR2
Introduction to the basics of Python programming (part 3)Pedro Rodrigues
This is the 3rd part of a multi-part series that teaches the basics of Python programming. It covers list and dict comprehensions, functions, modules and packages.
All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types.
To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.
This presentation covers Python most important data structures like Lists, Dictionaries, Sets and Tuples. Exception Handling and Random number generation using simple python module "random" also covered. Added simple python programs at the end of the presentation
Troy Lea's presentation on Leveraging and Understanding Performance Data and Graphs.
The presentation was given during the Nagios World Conference North America held Sept 20-Oct 2nd, 2013 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
Nagios Conference 2011 - William Leibzon - Nagios In Cloud Computing Environm...Nagios
William Leibzon's presentation on using Nagios in a cloud computing environment. The presentation was given during the Nagios World Conference North America held Sept 27-29th, 2011 in Saint Paul, MN.
For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
Troy Lea's presentation on Monitoring VMware Virtualization Using vMA.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
Troy Lea's presentation on creating custom addons for Nagios XI.
The presentation was given during the Nagios World Conference North America held Sept 25-28th, 2012 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
Nagios Conference 2014 - Shamas Demoret - Getting Started With Nagios XINagios
Shamas Demoret's presentation on Getting Started With Nagios XI. The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
Nagios Conference 2012 - Nathan Vonnahme - Monitoring the User ExperienceNagios
Nathan Vonnahme's presentation on using Nagios
The presentation was given during the Nagios World Conference North America held Sept 25-28th, 2012 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
Nagios Conference 2011 - Nicholas Scott - Nagios Performance TuningNagios
Nicholas Scott's presentation on tuning Nagios performance. The presentation was given during the Nagios World Conference North America held Sept 27-29th, 2011 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
Trevor McDonald - Nagios XI Under The Hood - What happens when a check is run? What are the parts that move behind the scenes to turn a service check into a notification? In this talk, Trevor will walk through the check process from start to finish, giving an overview of the components involved at each step.
Bridging The Gap: Explaining OpenStack To VMware AdministratorsKenneth Hui
Updated from Kenneth Hui and Scott Lowe's joint talk at the Fall 2013 OpenStack Summit in Hong Kong. This is from a talk given by Cody Bunch and Kenneth Hui at the New England VTUG 2014 Winter Warmer.
Automated Security Hardening with OpenStack-AnsibleMajor Hayden
The OpenStack-Ansible project has a security role that applies over 200 host security hardening configurations in less than two minutes. It's based on the Security Technical Implementation Guide (STIG) from the US federal government and it is heavily customized to work well with an OpenStack environment.
This was a tutorial which Mark McClain and I led at ONUG, Spring 2015. It was well received and serves as a walk through of OpenStack Neutron and it's features and usage.
(SCALE 12x) OpenStack vs. VMware - A System Administrator PerspectiveStackStorm
By Dmitri Zimine, CTO of StackStorm (www.stackstorm.com)
SCALE 12x Conference
February 22, 2014
Los Angeles, CA
VMware has achieved broad usage, with some studies indicating that 80% or more of enterprises now use some VMware products. OpenStack, on the other hand, has quickly become the most important OpenSource community since Linux itself.
What’s it like to use OpenStack for virtualization and private cloud? And how does that compare to VMware’s solutions?
Code Golfing is minimizing the number of strokes in each block of code. Concise code requires less cognitive load to understand the intent by avoiding implementation errata. Learn how to write concise, readable Python code!
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
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/
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
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
![The Zen of Python ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)