Ultra Fast, Cross Genre, Procedural Content Generation in Games [Master Thesis]Mohammad Shaker
In my MSc. thesis, I have re-tackled the problem of procedurally generating content for physics-based games I have previously investigated in my BSc. graduation thesis. This time around I propose two novel methods: the first is projection based for faster generation of physics-based games content. The other, The Progressive Generation, is a generic, wide-range, across genre, customisable with playability check method all bundled in a fast progressive approach. This new method is applied on two completely different games: NEXT And Cut the Rope.
Ultra Fast, Cross Genre, Procedural Content Generation in Games [Master Thesis]Mohammad Shaker
In my MSc. thesis, I have re-tackled the problem of procedurally generating content for physics-based games I have previously investigated in my BSc. graduation thesis. This time around I propose two novel methods: the first is projection based for faster generation of physics-based games content. The other, The Progressive Generation, is a generic, wide-range, across genre, customisable with playability check method all bundled in a fast progressive approach. This new method is applied on two completely different games: NEXT And Cut the Rope.
Short, Matters, Love - Passioneers Event 2015Mohammad Shaker
Short, Matters, Love is a presentation I prepared for freshmen students at the Faculty of Information Technology in Damascus, Syria organised by Passioneers - 2015
Short, Matters, Love - Passioneers Event 2015Mohammad Shaker
Short, Matters, Love is a presentation I prepared for freshmen students at the Faculty of Information Technology in Damascus, Syria organised by Passioneers - 2015
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
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
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.
6. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
7. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
8. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
List<string> queryResults = new List<string>();
foreach (var item in names)
{
if (n.StartsWith(“S”))
{
queryResults.Add(item);
}
}
var queryResults = from n in names
where n.StartsWith("S")
select n;
9. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
List<string> queryResults = new List<string>();
foreach (var item in names)
{
if (n.StartsWith(“S”))
{
queryResults.Add(item);
}
}
var queryResults = from n in names
where n.StartsWith("S")
select n;
10. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
List<string> queryResults = new List<string>();
foreach (var item in names)
{
if (n.StartsWith(“S”))
{
queryResults.Add(item);
}
}
var queryResults = from n in names
where n.StartsWith("S")
select n;
The SAME!
11. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
List<string> queryResults = new List<string>();
foreach (var item in names)
{
if (n.StartsWith(“S”))
{
queryResults.Add(item);
}
}
var queryResults = from n in names
where n.StartsWith("S")
select n;
The SAME!
12. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
13. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
where n.StartsWith("S")
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
Names beginning with S:
Smith
Smythe
Small
Singh
Samba
Program finished, press Enter/Return to continue:
14. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
15. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
Names beginning with S:
Alonso
Zheng
Smith
Jones
Smythe
Small
Ruiz
Hsieh
Jorgenson
Ilyich
Singh
Samba
Program finished, press Enter/Return to continue:
16. LINQ
static void Main(string[] args)
{
string[] names = { "Alonso", "Zheng", "Smith", "Jones", "Smythe",
"Small", "Ruiz", "Hsieh", "Jorgenson", "Ilyich", "Singh", "Samba"};
var queryResults = from n in names
select n;
Console.WriteLine("Names beginning with S:");
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
Console.Write("Program finished, press Enter/Return to continue:");
Console.ReadLine();
}
Names beginning with S:
Alonso
Zheng
Smith
Jones
Smythe
Small
Ruiz
Hsieh
Jorgenson
Ilyich
Singh
Samba
Program finished, press Enter/Return to continue:
19. Lambda Expressions
• The operator => is called the lambda operator.
n => n < 1000
“ Lambda ” comes from the lambda calculus, the mathematical formalism underlying
functional programming languages, which are the kind of programming on which LINQ is
based. If you are interested, check out sources such as the Wikipedia article on lambda
calculus. You don ’ t need to understand the mathematics to use lambda functions, although
understanding functional programming is helpful for advanced LINQ programming.
38. Querying Complex Objects
class Customer
{
public string ID { get; set; }
public string City { get; set; }
public string Country { get; set; }
public string Region { get; set; }
public decimal Sales { get; set; }
}
39. Querying Complex Objects
static void Main(string[] args)
{
List < Customer > customers = new List < Customer >
{
new Customer { ID=”A”, City=”New York”, Country=”USA”,Region=”North America”, Sales=9999},
new Customer { ID=”B”, City=”Mumbai”, Country=”India”,Region=”Asia”, Sales=8888 },
new Customer { ID=”C”, City=”Karachi”, Country=”Pakistan”,Region=”Asia”, Sales=7777 },
new Customer { ID=”D”, City=”Delhi”, Country=”India”,Region=”Asia”, Sales=6666 },
new Customer { ID=”E”, City=”S ã o Paulo”, Country=”Brazil”,Region=”South America”, Sales=5555 },
new Customer { ID=”F”, City=”Moscow”, Country=”Russia”,Region=”Europe”, Sales=4444 },
…
};
var queryResults =
from c in customers
where c.Region == “Asia”
select c;
Console.WriteLine(“Customers in Asia:”);
foreach (Customer c in queryResults)
{
Console.WriteLine(c);
}
Console.Write(“Program finished, press Enter/Return to continue:”);
Console.ReadLine();
}
40. Querying Complex Objects
• The output:
• Why?!
– Because ToString() is called for each Customer object. ToString() Is inherited directly
from the object class.
• Solution: Override the ToString() method.
Customers in Asia:
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
CSharpCourse2011.Customer
Program finished, press Enter/Return to continue:
41. Querying Complex Objects
• From this:
• To this:
class Customer
{
public string ID { get; set; }
public string City { get; set; }
public string Country { get; set; }
public string Region { get; set; }
public decimal Sales { get; set; }
public override string ToString()
{
return “ID: “ + ID + “ City: “ + City + “ Country: “ + Country +
“ Region: “ + Region + “ Sales: “ + Sales;
}
}
class Customer
{
public string ID { get; set; }
public string City { get; set; }
public string Country { get; set; }
public string Region { get; set; }
public decimal Sales { get; set; }
}
42. Querying Complex Objects
• The output now is:
Customers in Asia:
ID: B City: Mumbai Country: India Region: Asia Sales: 8888
ID: C City: Karachi Country: Pakistan Region: Asia Sales: 7777
ID: D City: Delhi Country: India Region: Asia Sales: 6666
ID: G City: Seoul Country: Korea Region: Asia Sales: 3333
ID: H City: Istanbul Country: Turkey Region: Asia Sales: 2222
ID: I City: Shanghai Country: China Region: Asia Sales: 1111
ID: L City: Jakarta Country: Indonesia Region: Asia Sales: 3000
ID: M City: Tokyo Country: Japan Region: Asia Sales: 4000
ID: P City: Tehran Country: Iran Region: Asia Sales: 7000
ID: R City: Beijing Country: China Region: Asia Sales: 9000
Program finished, press Enter/Return to continue:
43. Querying Complex Objects
var queryResults =
from c in customers
where c.Region == “Asia”
select c.City;
Mumbai
Karachi
Delhi
Seoul
Istanbul
Shanghai
Jakarta
Tokyo
Tehran
Beijing
46. Querying Complex Objects
• Let’s see this:
• It’s an error. Unlike in SQL, LINQ does not allow multiple fields in a select clause!
– So, what’s the solution?
• Just creating a new object on-the-fly in the select clause to hold the results you want for your query!
select c.City, c.Country, c.Sales
47. Querying Complex Objects
• Let’s see this:
• It’s an error. Unlike in SQL, LINQ does not allow multiple fields in a select clause!
– So, what’s the solution?
• Just creating a new object on-the-fly in the select clause to hold the results you want for your query!
select c.City, c.Country, c.Sales
var queryResults =
from c in customers
where c.Region == “North America”
select new { c.City, c.Country, c.Sales };
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
48. Querying Complex Objects
• Let’s see this:
• It’s an error. Unlike in SQL, LINQ does not allow multiple fields in a select clause!
– So, what’s the solution?
• Just creating a new object on-the-fly in the select clause to hold the results you want for your query!
select c.City, c.Country, c.Sales
var queryResults =
from c in customers
where c.Region == “North America”
select new { c.City, c.Country, c.Sales };
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
{ City = New York, Country = USA, Sales = 9999 }
{ City = Mexico City, Country = Mexico, Sales = 2000 }
{ City = Los Angeles, Country = USA, Sales = 5000 }
Program finished, press Enter/Return to continue:
49. Querying Complex Objects
• Now, instead of all this:
• Let’s try this:
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
var queryResults =
from c in customers
where c.Region == “North America”
select new { c.City, c.Country, c.Sales };
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
50. Querying Complex Objects
• Now, instead of all this:
• Let’s try this:
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
{ City = New York, Country = USA, Sales = 9999 }
{ City = Mexico City, Country = Mexico, Sales = 2000 }
{ City = Los Angeles, Country = USA, Sales = 5000 }
Program finished, press Enter/Return to continue:
var queryResults =
from c in customers
where c.Region == “North America”
select new { c.City, c.Country, c.Sales };
foreach (var item in queryResults)
{
Console.WriteLine(item);
}
51. Querying Complex Objects
• Now, instead of this:
• Let’s try this:
var queryResults = customers.Select(c => new { c.City, c.Country, c.Sales })
.Where(c => c.Region == “North America”);
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
52. Querying Complex Objects
• Now, instead of this:
• Let’s try this:
• It’s a Compiler Error! Because: The Region property is not included in the
anonymous type.
{c.City, c.Country, c.Sales } created by the Select() projection. The
compiler doesn’t know it yet!
var queryResults = customers.Select(c => new { c.City, c.Country, c.Sales })
.Where(c => c.Region == “North America”);
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
53. Querying Complex Objects
• OK, now, instead of this:
• Let’s try this:
var queryResults = customers.Select(c => new { c.City, c.Country, c.Sales })
.Where(c => c.City == “New York”);
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
54. Querying Complex Objects
• OK, now, instead of this:
• Let’s try this:
• Works beautifully!
var queryResults = customers.Select(c => new { c.City, c.Country, c.Sales })
.Where(c => c.City == “New York”);
var queryResults = customers.Where(c => c.Region == “North America”)
.Select(c => new { c.City, c.Country, c.Sales });
55. Querying Complex Objects
• Distinct
var queryResults = customers.Select(c => c.Region).Distinct();
var queryResults = (from c in customers select c.Region).Distinct();
57. Ordering By Multiple Levels
var queryResults =
from c in customers
orderby c.Region, c.Country, c.City
select new { c.ID, c.Region, c.Country, c.City };
58. Ordering By Multiple Levels
var queryResults =
from c in customers
orderby c.Region, c.Country, c.City
select new { c.ID, c.Region, c.Country, c.City };
{ ID = O, Region = Africa, Country = Egypt, City = Cairo }
{ ID = J, Region = Africa, Country = Nigeria, City = Lagos }
{ ID = R, Region = Asia, Country = China, City = Beijing }
{ ID = I, Region = Asia, Country = China, City = Shanghai }
{ ID = D, Region = Asia, Country = India, City = Delhi }
{ ID = B, Region = Asia, Country = India, City = Mumbai }
{ ID = L, Region = Asia, Country = Indonesia, City = Jakarta }
{ ID = P, Region = Asia, Country = Iran, City = Tehran }
{ ID = M, Region = Asia, Country = Japan, City = Tokyo }
{ ID = G, Region = Asia, Country = Korea, City = Seoul }
….