Presentation used to give an introduction to Regular Expression in JavaScript at MercadoLibre Inc. Spanish: https://www.youtube.com/watch?v=skG03rdOhpo
This document contains summaries of several lectures about Python lists. It discusses how lists are sequences that can be indexed and traversed, are mutable unlike strings, and how list operations like slicing, methods, filtering and mapping can be used. It also covers deleting list elements, converting strings to lists, aliasing, passing lists as arguments and checking object references.
BoldRadius' Senior Software Developer Alejandro Lujan explains how to use higher order functions in Scala and illustrates them with some examples.
See the accompanying video at www.boldradius.com/blog
The document discusses arrays in C programming. It defines an array as a fixed-size collection of elements of the same data type. Arrays allow grouping of like-type data, such as lists of numbers, names, temperatures. Arrays consist of contiguous memory locations. The document describes declaring one-dimensional arrays using syntax like type arrayName[arraySize], and accessing elements using indexes like arrayName[0]. Arrays can be initialized during compilation by specifying values between curly brackets, or initialized at runtime.
The SAS ARRAY statement allows you to group variables together under a single name for processing within a DATA step. The ARRAY statement defines the array name, dimensions, variable names, and optionally initial values. Arrays make it convenient to process multiple variables together using DO loops and array references.
This document discusses optimizing images for use on the web. It covers choosing the appropriate file type based on the image content, reducing file size through compression and trimming unnecessary pixels, and using tools like Photoshop's "Save for Web" feature to balance image quality and download speed. The key considerations are file type (GIF, JPEG, PNG), size, compression level, and ensuring accessibility.
This document discusses resource routing in ExpressionEngine (EE), which is the stage in a request where the server/application decides what resource to provide based on the URL and request information. It describes how EE currently routes URLs to templates and why changing this approach could be beneficial. It then outlines some options for customizing routing, including native EE template routes, extension hooks, and add-ons like Structure and Resource Router, providing examples of how they could be used.
This document contains summaries of several lectures about Python lists. It discusses how lists are sequences that can be indexed and traversed, are mutable unlike strings, and how list operations like slicing, methods, filtering and mapping can be used. It also covers deleting list elements, converting strings to lists, aliasing, passing lists as arguments and checking object references.
BoldRadius' Senior Software Developer Alejandro Lujan explains how to use higher order functions in Scala and illustrates them with some examples.
See the accompanying video at www.boldradius.com/blog
The document discusses arrays in C programming. It defines an array as a fixed-size collection of elements of the same data type. Arrays allow grouping of like-type data, such as lists of numbers, names, temperatures. Arrays consist of contiguous memory locations. The document describes declaring one-dimensional arrays using syntax like type arrayName[arraySize], and accessing elements using indexes like arrayName[0]. Arrays can be initialized during compilation by specifying values between curly brackets, or initialized at runtime.
The SAS ARRAY statement allows you to group variables together under a single name for processing within a DATA step. The ARRAY statement defines the array name, dimensions, variable names, and optionally initial values. Arrays make it convenient to process multiple variables together using DO loops and array references.
This document discusses optimizing images for use on the web. It covers choosing the appropriate file type based on the image content, reducing file size through compression and trimming unnecessary pixels, and using tools like Photoshop's "Save for Web" feature to balance image quality and download speed. The key considerations are file type (GIF, JPEG, PNG), size, compression level, and ensuring accessibility.
This document discusses resource routing in ExpressionEngine (EE), which is the stage in a request where the server/application decides what resource to provide based on the URL and request information. It describes how EE currently routes URLs to templates and why changing this approach could be beneficial. It then outlines some options for customizing routing, including native EE template routes, extension hooks, and add-ons like Structure and Resource Router, providing examples of how they could be used.
The document provides tips for writing simple, readable code that is easy to maintain and adapt to changes over time. It emphasizes keeping code well-structured with small, single-purpose functions and classes, using good naming conventions, testing code, and designing for flexibility through techniques like dependency injection and interfaces. The document also encourages practicing code through katas and code reviews to improve coding skills.
Regular Expressions: JavaScript And BeyondMax Shirshin
Regular Expressions is a powerful tool for text and data processing. What kind of support do browsers provide for that? What are those little misconceptions that prevent people from using RE effectively?
The talk gives an overview of the regular expression syntax and typical usage examples.
The document summarizes Scala, a functional programming language that runs on the Java Virtual Machine (JVM). It discusses Scala's core features like being object-oriented, type inference, and support for functional programming with immutable data structures and passing functions as parameters. It also provides examples of using Scala collections like List and Array, and functions like map, filter, flatMap, and foldLeft/reduceLeft. Finally, it demonstrates using Scala for domain-specific languages and shows examples of defining DSLs for querying and generating JavaScript.
This document discusses using functional programming techniques in Java to improve KPIs like quality, performance, and developer productivity. It outlines issues with imperative Java like shared mutability and verbosity. Functional approaches can reduce bugs, duplicated code, and complexity. Techniques like immutable collections, streams, and lambdas improve performance by reducing memory usage and garbage collection. Functional Java allows writing more concise, testable code while leveraging the existing Java ecosystem.
Leveraging Scala Macros for Better ValidationTomer Gabel
A talk given at Scalapeño 2014 and JavaOne 2014 (video links to follow).
Data validation is a common enough problem that numerous attempts have been made to solve it elegantly. The de-facto solution in Java (JSR 303) has a number of shortcomings and fails to leverage the powerful Scala type system. The release of Scala 2.10.x introduced a couple of experimental metaprogramming features, namely reflection and macros. In this talk I'll introduce macros by way of a practical example: implementing a full-blown data validation engine, utilizing def macros and a Scala DSL to enable elegant validator definition syntax and call-site.
Slides from Scala workshop held at Schibsted Tech Polska office in Krakow October 2017. Covers topics like basic language features, expressions, methods, functions, collections, pattern matching, laziness, implicits, DSLs and more.
The document discusses parsing JSON with a single regular expression in Perl. It describes using grammars, recursion, and code execution within the regex to build a data structure that is returned. Key features include using (?&NAME) to recurse on named patterns, (?{ CODE }) to execute code during matching, and $^R to build and return a data structure.
This document provides an introduction to Scala for Java developers. It discusses that Scala is a hybrid object-oriented and functional language that runs on the JVM and interoperates well with Java. It highlights several features of Scala that allow for more concise code compared to Java, such as type inference, expressions instead of statements, higher-order functions, and case classes.
Perl6 regular expression ("regex") syntax has a number of improvements over the Perl5 syntax. The inclusion of grammars as first-class entities in the language makes many uses of regexes clearer, simpler, and more maintainable. This talk looks at a few improvements in the regex syntax and also at how grammars can help make regex use cleaner and simpler.
The document discusses functional JavaScript programming. It introduces functional concepts like anonymous functions, binding functions to contexts, and enumerable functions. It provides examples of how to write functional code using these concepts like mapping over arrays with anonymous functions and filtering arrays. It also discusses structuring applications and provides an example code snippet for converting HTML elements.
Feature Flags Are Flawed: Let's Make Them Better - DPCStephen Young
The document discusses improving feature flags by introducing the concept of Swivel. Swivel allows features to be enabled for subsets of users by segmenting users into cohorts called "buckets" and associating features with certain buckets. This allows for more granular control over features than a simple on/off flag and enables use cases like canary deployments and A/B testing. The document outlines the basic concepts of Swivel and provides examples of how it can be implemented and used to toggle features for different buckets of users in a more maintainable way than traditional feature flags.
Mirror, mirror on the wall - Building a new PHP reflection library (Nomad PHP...James Titcumb
Have you ever used PHP’s built in reflection, only to find you can’t do quite what you wanted? What about finding types for parameters or properties? What about reflecting on classes that aren’t loaded, so that you can modify them directly?
Better Reflection is an awesome new library that uses magical time-warp techniques* to improve on PHP’s built-in reflection by providing additional functionality. In this talk we’ll cover what reflection is all about, explore the cool features of Better Reflection already implemented, the difficulties we faced actually writing the thing, and how you can use Better Reflection in your projects to maximise your reflection-fu.
(*actual magic or time-warp not guaranteed)
You must’ve heard of Unit testing… If not, then this talk is definitely for you! If you do know Unit testing, you probably ran at some point into a hurdle: “Where do I start?” And despite your best efforts, you end up not having enough tests for your application – Then that change request comes in, requiring you to change that very same complex piece of code for which you are lacking tests! How do you going refactor while maintaining all those ‘undocumented’ business rules? This talk will show how Codeception can be leveraged to refactor the visuals aspects of an application, maintaining backwards compatibility on API changes and even assist in moving to a whole different server infrastructure.
Transducers are a type of reducing function that take in a reducing function and give back another reducing function. They allow you to compose functions together in a chain or pipeline structure to quickly, easily and efficiently transform data. In PHP, we have the mtdowling/transducers library, built off the basis of the idea of Clojure's transducer library.
Software development is riddled with explicit and implicit costs. Every decision you make has a cost attached to it. When you're writing code, you're making an investment, the size of which will for a long time define the costs of your future growth. Making right decision about these investments is very tricky and the cost of wrong decisions might be crippling for both business and teams that support it.
Extreme Programming and Test Driven Development in particular are practices that are aiming at supporting development effort by making it easier to introduce change. That said, sometimes those tools can become a problem of its own when applied in the wrong way or for the wrong context. Understanding software cost forces is a very important skill of successful teams and something that helps understand how to apply XP and TDD in different contexts.
**********Evaluator.java****************
package evaluator;
import java.util.*;
import operand.Operand;
import operator.Operator;
public class Evaluator {
private Stack<Operand> operandStack;
private Stack<Operator> operatorStack;
private StringTokenizer tokenizer;
private static final String DELIMITERS = "+-*^/() ";
public Evaluator() {
operandStack = new Stack<Operand>();
operatorStack = new Stack<Operator>();
}
public int eval(String expression) {
int result = 0;
String token;
Operator hashOpr = Operator.operators.get("#");
oprStack.push(hashOpr);
String delimiters = "+-*/#!";
// The 3rd argument is true to indicate that the delimiters should be used
// as tokens, too. But, we'll need to remember to filter out spaces.
this.tokenizer = new StringTokenizer(expression, DELIMITERS, true);
while (this.tokenizer.hasMoreTokens()) {
// filter out spaces
if (!(token = this.tokenizer.nextToken()).equals(" ")) {
// check if token is an operand
if (Operand.check(token)) {
operandStack.push(new Operand(token));
} else {
if (!Operator.check(token)) {
System.out.println("*****invalid token******");
System.exit(1);
}
// TODO Operator is abstract - this line will need to be fixed:
// ( The Operator class should contain an instance of a HashMap,
// and values will be instances of the Operators. See Operator class
// skeleton for an example. )
Operator newOperator = null; // new Operator( token );
while (operatorStack.peek().priority() >= newOperator.priority()) {
// note that when we eval the expression 1 - 2 we will
// push the 1 then the 2 and then do the subtraction operation
// This means that the first number to be popped is the
// second operand, not the first operand - see the following code
Operator oldOpr = operatorStack.pop();
Operand op2 = operandStack.pop();
Operand op1 = operandStack.pop();
operandStack.push(oldOpr.execute(op1, op2));
}
operatorStack.push(newOperator);
}
}
}
// Control gets here when we've picked up all of the tokens; you must add
// code to complete the evaluation - consider how the code given here
// will evaluate the expression 1+2*3
// When we have no more tokens to scan, the operand stack will contain 1 2
// and the operator stack will have + * with 2 and * on the top;
// In order to complete the evaluation we must empty the stacks (except
// the init operator on the operator stack); that is, we should keep
// evaluating the operator stack until empty
// Suggestion: create a method that takes an operator as argument and
// then executes the while loop; also, move the stacks out of the main
// method
return 0;
}
/**
* Class to help test your Evaluator:
* javac EvaluatorTester
* java EvaluatorTester "1+2" "3*5"
*/
public static void main(String[] args) {
Evaluator evaluator = new Evaluator();
for (String arg : args) {
System.out.format("%s = %d\n", arg, evaluator.eval(arg));
}
}
}
************************************Operand.Java**************************************************
package operand;
public class Operand {
public .
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
The document provides tips for writing simple, readable code that is easy to maintain and adapt to changes over time. It emphasizes keeping code well-structured with small, single-purpose functions and classes, using good naming conventions, testing code, and designing for flexibility through techniques like dependency injection and interfaces. The document also encourages practicing code through katas and code reviews to improve coding skills.
Regular Expressions: JavaScript And BeyondMax Shirshin
Regular Expressions is a powerful tool for text and data processing. What kind of support do browsers provide for that? What are those little misconceptions that prevent people from using RE effectively?
The talk gives an overview of the regular expression syntax and typical usage examples.
The document summarizes Scala, a functional programming language that runs on the Java Virtual Machine (JVM). It discusses Scala's core features like being object-oriented, type inference, and support for functional programming with immutable data structures and passing functions as parameters. It also provides examples of using Scala collections like List and Array, and functions like map, filter, flatMap, and foldLeft/reduceLeft. Finally, it demonstrates using Scala for domain-specific languages and shows examples of defining DSLs for querying and generating JavaScript.
This document discusses using functional programming techniques in Java to improve KPIs like quality, performance, and developer productivity. It outlines issues with imperative Java like shared mutability and verbosity. Functional approaches can reduce bugs, duplicated code, and complexity. Techniques like immutable collections, streams, and lambdas improve performance by reducing memory usage and garbage collection. Functional Java allows writing more concise, testable code while leveraging the existing Java ecosystem.
Leveraging Scala Macros for Better ValidationTomer Gabel
A talk given at Scalapeño 2014 and JavaOne 2014 (video links to follow).
Data validation is a common enough problem that numerous attempts have been made to solve it elegantly. The de-facto solution in Java (JSR 303) has a number of shortcomings and fails to leverage the powerful Scala type system. The release of Scala 2.10.x introduced a couple of experimental metaprogramming features, namely reflection and macros. In this talk I'll introduce macros by way of a practical example: implementing a full-blown data validation engine, utilizing def macros and a Scala DSL to enable elegant validator definition syntax and call-site.
Slides from Scala workshop held at Schibsted Tech Polska office in Krakow October 2017. Covers topics like basic language features, expressions, methods, functions, collections, pattern matching, laziness, implicits, DSLs and more.
The document discusses parsing JSON with a single regular expression in Perl. It describes using grammars, recursion, and code execution within the regex to build a data structure that is returned. Key features include using (?&NAME) to recurse on named patterns, (?{ CODE }) to execute code during matching, and $^R to build and return a data structure.
This document provides an introduction to Scala for Java developers. It discusses that Scala is a hybrid object-oriented and functional language that runs on the JVM and interoperates well with Java. It highlights several features of Scala that allow for more concise code compared to Java, such as type inference, expressions instead of statements, higher-order functions, and case classes.
Perl6 regular expression ("regex") syntax has a number of improvements over the Perl5 syntax. The inclusion of grammars as first-class entities in the language makes many uses of regexes clearer, simpler, and more maintainable. This talk looks at a few improvements in the regex syntax and also at how grammars can help make regex use cleaner and simpler.
The document discusses functional JavaScript programming. It introduces functional concepts like anonymous functions, binding functions to contexts, and enumerable functions. It provides examples of how to write functional code using these concepts like mapping over arrays with anonymous functions and filtering arrays. It also discusses structuring applications and provides an example code snippet for converting HTML elements.
Feature Flags Are Flawed: Let's Make Them Better - DPCStephen Young
The document discusses improving feature flags by introducing the concept of Swivel. Swivel allows features to be enabled for subsets of users by segmenting users into cohorts called "buckets" and associating features with certain buckets. This allows for more granular control over features than a simple on/off flag and enables use cases like canary deployments and A/B testing. The document outlines the basic concepts of Swivel and provides examples of how it can be implemented and used to toggle features for different buckets of users in a more maintainable way than traditional feature flags.
Mirror, mirror on the wall - Building a new PHP reflection library (Nomad PHP...James Titcumb
Have you ever used PHP’s built in reflection, only to find you can’t do quite what you wanted? What about finding types for parameters or properties? What about reflecting on classes that aren’t loaded, so that you can modify them directly?
Better Reflection is an awesome new library that uses magical time-warp techniques* to improve on PHP’s built-in reflection by providing additional functionality. In this talk we’ll cover what reflection is all about, explore the cool features of Better Reflection already implemented, the difficulties we faced actually writing the thing, and how you can use Better Reflection in your projects to maximise your reflection-fu.
(*actual magic or time-warp not guaranteed)
You must’ve heard of Unit testing… If not, then this talk is definitely for you! If you do know Unit testing, you probably ran at some point into a hurdle: “Where do I start?” And despite your best efforts, you end up not having enough tests for your application – Then that change request comes in, requiring you to change that very same complex piece of code for which you are lacking tests! How do you going refactor while maintaining all those ‘undocumented’ business rules? This talk will show how Codeception can be leveraged to refactor the visuals aspects of an application, maintaining backwards compatibility on API changes and even assist in moving to a whole different server infrastructure.
Transducers are a type of reducing function that take in a reducing function and give back another reducing function. They allow you to compose functions together in a chain or pipeline structure to quickly, easily and efficiently transform data. In PHP, we have the mtdowling/transducers library, built off the basis of the idea of Clojure's transducer library.
Software development is riddled with explicit and implicit costs. Every decision you make has a cost attached to it. When you're writing code, you're making an investment, the size of which will for a long time define the costs of your future growth. Making right decision about these investments is very tricky and the cost of wrong decisions might be crippling for both business and teams that support it.
Extreme Programming and Test Driven Development in particular are practices that are aiming at supporting development effort by making it easier to introduce change. That said, sometimes those tools can become a problem of its own when applied in the wrong way or for the wrong context. Understanding software cost forces is a very important skill of successful teams and something that helps understand how to apply XP and TDD in different contexts.
**********Evaluator.java****************
package evaluator;
import java.util.*;
import operand.Operand;
import operator.Operator;
public class Evaluator {
private Stack<Operand> operandStack;
private Stack<Operator> operatorStack;
private StringTokenizer tokenizer;
private static final String DELIMITERS = "+-*^/() ";
public Evaluator() {
operandStack = new Stack<Operand>();
operatorStack = new Stack<Operator>();
}
public int eval(String expression) {
int result = 0;
String token;
Operator hashOpr = Operator.operators.get("#");
oprStack.push(hashOpr);
String delimiters = "+-*/#!";
// The 3rd argument is true to indicate that the delimiters should be used
// as tokens, too. But, we'll need to remember to filter out spaces.
this.tokenizer = new StringTokenizer(expression, DELIMITERS, true);
while (this.tokenizer.hasMoreTokens()) {
// filter out spaces
if (!(token = this.tokenizer.nextToken()).equals(" ")) {
// check if token is an operand
if (Operand.check(token)) {
operandStack.push(new Operand(token));
} else {
if (!Operator.check(token)) {
System.out.println("*****invalid token******");
System.exit(1);
}
// TODO Operator is abstract - this line will need to be fixed:
// ( The Operator class should contain an instance of a HashMap,
// and values will be instances of the Operators. See Operator class
// skeleton for an example. )
Operator newOperator = null; // new Operator( token );
while (operatorStack.peek().priority() >= newOperator.priority()) {
// note that when we eval the expression 1 - 2 we will
// push the 1 then the 2 and then do the subtraction operation
// This means that the first number to be popped is the
// second operand, not the first operand - see the following code
Operator oldOpr = operatorStack.pop();
Operand op2 = operandStack.pop();
Operand op1 = operandStack.pop();
operandStack.push(oldOpr.execute(op1, op2));
}
operatorStack.push(newOperator);
}
}
}
// Control gets here when we've picked up all of the tokens; you must add
// code to complete the evaluation - consider how the code given here
// will evaluate the expression 1+2*3
// When we have no more tokens to scan, the operand stack will contain 1 2
// and the operator stack will have + * with 2 and * on the top;
// In order to complete the evaluation we must empty the stacks (except
// the init operator on the operator stack); that is, we should keep
// evaluating the operator stack until empty
// Suggestion: create a method that takes an operator as argument and
// then executes the while loop; also, move the stacks out of the main
// method
return 0;
}
/**
* Class to help test your Evaluator:
* javac EvaluatorTester
* java EvaluatorTester "1+2" "3*5"
*/
public static void main(String[] args) {
Evaluator evaluator = new Evaluator();
for (String arg : args) {
System.out.format("%s = %d\n", arg, evaluator.eval(arg));
}
}
}
************************************Operand.Java**************************************************
package operand;
public class Operand {
public .
This document summarizes a talk given about Nokia's migration to Scala for its Places API. The key points are:
1) Nokia migrated its Places API codebase to Scala to take advantage of Scala's features like its powerful type system, immutable data structures, and functional programming capabilities.
2) The migration was done gradually over time while continuing to develop new features. They discovered many benefits of Scala along the way like improved test readability and JSON parsing capabilities.
3) Nokia uses Scala features like case classes, options, and functions to model data and add type safety to its codebase. This uncovered bugs that would have been hard to find in Java.
JavaScript Coding & Design Patterns discusses JavaScript style guides, namespaces, dependencies, dealing with browsers, separation of concerns, DOM scripting, events, functions, and design patterns like the Singleton, Module, and Prototypal Inheritance patterns. It covers topics like hoisting, scope, configuration objects, IIFEs, and using the new keyword and Object.create method for prototypal inheritance. The document provides examples and explanations of these JavaScript concepts and design patterns.
The document discusses the Document Object Model (DOM) and its core concepts. It covers how the DOM represents an HTML document as nodes organized in a tree structure, with different node types like elements, text, and attributes. It also describes common DOM manipulation methods for selecting, inserting, and removing nodes to modify the document. Key interfaces and inheritance are explained, along with how to work with different node types, events, and document fragments.
MercadoLibre is every day less requested with the IE7 browser. So in a few months we are going to leave giving support for that specific browser. Now, with a little previous analysis we are able to use the html5shiv tool. I used this slides to explain, share and reflect about how is and works the new HTML5 outline.
This was based on http://www.slideshare.net/hmammana/semantic-markup-creating-outline.
This document provides a summary of best practices for front-end development. It discusses semantic HTML, CSS organization and specificity, responsive images, JavaScript performance, and other optimization techniques. Key recommendations include writing semantic HTML first before styling, avoiding inline styles, properly structuring CSS with comments and organization, reducing requests by combining files and using sprites, and placing JavaScript before the closing body tag.
This presentation given for developers at Truelogic Software Solutions is about CSS and layouting. It is explained all the ways to re-position an element in the screen.
El documento habla sobre la tipografía en la web. Explica que aunque la web comenzó siendo solo texto, el 95% de su contenido aún es texto. Describe las familias tipográficas y cómo se ven afectadas en pantallas como las computadoras, celulares y tabletas. También cubre temas como la estructura semántica del HTML y la jerarquía visual del CSS para diseñar tipografías en la web. Finalmente, anticipa las posibilidades futuras del HTML5 y CSS3 para mejorar el diseño tipográfico en la web.
This document discusses semantic markup and outlines. It defines markup languages as systems for annotating documents in a way that is distinguishable from text. Semantic markup uses elements, attributes, and values that have specific predefined meanings. An outline is a list of potentially nested sections. Key HTML elements for outlines include headings (h1-h6) and sectioning elements (article, aside, nav, section). WAI-ARIA adds semantics for accessibility, while Microdata embeds semantics within existing content. Designers must consider accessibility and provide all needed context when labeling elements. Tools like HTML5 Outliner can help with outlines.
This presentation has been given to the MercadoLibre UX area to update the team the project state. It speaks about the most important challenges in the Q4.
The document provides information on HTML elements and best practices for frontend development. It discusses the basic structure of HTML with the <html>, <head>, and <body> elements. It also covers common text elements like <p>, <h1>-<h6>, and lists. The document explains how to semantically structure tables and provides examples of the <table>, <tr>, <td>, and <th> elements. It emphasizes writing accessible, valid HTML and separating structure, presentation, and behavior.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
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.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
HCL Notes and Domino License Cost Reduction in the World of DLAU
JavaScript regular expression
1. GETTING STARTED
JavaScript Regular Expression
REFERENCES
Douglas Crockford, JavaScript: The Good Parts
Jan Goyvaerts and Steven Levithan, Regular Expression Cookbook
Stoyan Stefanov, Object-Oriented JavaScript
3. INTRODUCTION
• A regular expression is a specific kind of text pattern.
• JavaScript’s Regular Expression feature was borrowed from Perl.
• You can use it with many methods:
• match, replace, search, split in strings
• exec, test in regular expresion object