Eliminate the unavoidable complexity of object-oriented designs. Using the persistent data structures built into most modern programming languages, Data-oriented programming cleanly separates code and data, which simplifies state management and eases concurrency. Data-Oriented Programming teaches you to design applications using the data-oriented paradigm. These powerful new ideas are presented through conversations, code snippets, diagrams, and even songs to help you quickly grok what’s great about DOP. You’ll learn to write DOP code that can be implemented in languages like JavaScript, Ruby, Python, Clojure and also in traditional OO languages like Java or C#.
Learn more about the book here: http://mng.bz/XdKl
The Programmer's Brain: improve the way you learn and think about codeManning Publications
The Programmer’s Brain explores the way your brain works when it’s thinking about code. In it, you’ll master practical ways to apply these cognitive principles to your daily programming life. You’ll improve your code comprehension by turning confusion into a learning tool, and pick up awesome techniques for reading code and quickly memorizing syntax. This practical guide includes tips for creating your own flashcards and study resources that can be applied to any new language you want to master. By the time you’re done, you’ll not only be better at teaching yourself—you’ll be an expert at bringing new colleagues and junior programmers up to speed.
Learn more about the book here: https://bit.ly/39gKx9J
Inside Deep Learning: theory and practice of modern deep learningManning Publications
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped—you’ll dive into math, theory, and practical applications. Everything is clearly explained in plain English.
Learn more about the book here: http://mng.bz/MXyE
Privacy-Preserving Machine Learning: secure user data without sacrificing mod...Manning Publications
Privacy Preserving Machine Learning is a comprehensive introduction to data privacy in machine learning. Based on years of DARPA-funded cybersecurity research, the book is filled with lightbulb moments that will change the way you think about algorithm design. You’ll learn how to apply privacy-enhancing techniques to common machine learning tasks, and experiment with source code fresh from the latest academic papers.
Learn more about the book here: http://mng.bz/go5Z
Automated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. You’ll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices!
Learn more about the book here: http://mng.bz/Qme1
Hey everyone, You can find here the slides to the AI | Explore ML : introduction event that we held here. https://www.facebook.com/events/4005514219483981/?active_tab=discussion
Do check out the following links to see the testing skipped by Shahed
https://www.youtube.com/watch?v=DFBbSTvtpy4&list=LL&index=3
https://www.youtube.com/watch?v=CO67EQ0ZWgA&list=LL&index=2
https://www.youtube.com/watch?v=n-zeeRLBgd0&list=LL&index=1
Artificial Intelligence with Python | EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Natural Language Processing in Artificial Intelligence - Codeup #5 - PayU Artivatic.ai
This is workshop presentation for usages for NLP in Artificial Intelligence.
This is prepared by Artivatic Data Labs.
For more info for the detailed product, visit at www.artivatic.com
The Programmer's Brain: improve the way you learn and think about codeManning Publications
The Programmer’s Brain explores the way your brain works when it’s thinking about code. In it, you’ll master practical ways to apply these cognitive principles to your daily programming life. You’ll improve your code comprehension by turning confusion into a learning tool, and pick up awesome techniques for reading code and quickly memorizing syntax. This practical guide includes tips for creating your own flashcards and study resources that can be applied to any new language you want to master. By the time you’re done, you’ll not only be better at teaching yourself—you’ll be an expert at bringing new colleagues and junior programmers up to speed.
Learn more about the book here: https://bit.ly/39gKx9J
Inside Deep Learning: theory and practice of modern deep learningManning Publications
Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped—you’ll dive into math, theory, and practical applications. Everything is clearly explained in plain English.
Learn more about the book here: http://mng.bz/MXyE
Privacy-Preserving Machine Learning: secure user data without sacrificing mod...Manning Publications
Privacy Preserving Machine Learning is a comprehensive introduction to data privacy in machine learning. Based on years of DARPA-funded cybersecurity research, the book is filled with lightbulb moments that will change the way you think about algorithm design. You’ll learn how to apply privacy-enhancing techniques to common machine learning tasks, and experiment with source code fresh from the latest academic papers.
Learn more about the book here: http://mng.bz/go5Z
Automated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. You’ll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices!
Learn more about the book here: http://mng.bz/Qme1
Hey everyone, You can find here the slides to the AI | Explore ML : introduction event that we held here. https://www.facebook.com/events/4005514219483981/?active_tab=discussion
Do check out the following links to see the testing skipped by Shahed
https://www.youtube.com/watch?v=DFBbSTvtpy4&list=LL&index=3
https://www.youtube.com/watch?v=CO67EQ0ZWgA&list=LL&index=2
https://www.youtube.com/watch?v=n-zeeRLBgd0&list=LL&index=1
Artificial Intelligence with Python | EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Natural Language Processing in Artificial Intelligence - Codeup #5 - PayU Artivatic.ai
This is workshop presentation for usages for NLP in Artificial Intelligence.
This is prepared by Artivatic Data Labs.
For more info for the detailed product, visit at www.artivatic.com
Whether you are a beginner, a transient, or a data scientist, this plan addresses each individual's needs. You can learn data science in a year if you follow this process.
This talk goes over what Data Science is and how
you can start working with data in
your role. This is for everyone interested in Data
Science who might be unsure about how to
start working with data. Learn the core
concepts of Data Science and how you can
start learning data science pain-free!
-What is Hack?
-What is Hacking?
-History of hacking
-Who is Hacker?
-Types of Hacker
-Why do hackers attack?
-Skills required to be a Hacker
-Modes of hacker attack
-Types of Attack
-How to protect computer against Hackers
-How do I know if my computer has been hacked?
-What to do after hacked?
Distributed Natural Language Processing Systems in PythonClare Corthell
Much of human knowledge is “locked up” in a type of data called text. Humans are great at reading, but are computers? This workshop leads you through open source data science libraries in Python that turn text into valuable data, then tours an open source system built for the Wordnik dictionary to source definitions of words from across the internet.
Thinking Machines Conference, Manila, February 2016
http://thinkingmachin.es/events/
How to Become a Big Data Professional.pdfCareervira
You will be on the right track to becoming a qualified big data professional if you follow the recommendations in this learn guide. If you want to learn more about how to build a successful career in this field and find the many courses available to gain the necessary skills and competence, explore our in-depth learn guide on "How to Become a Big Data Professional" to get started with your career. Learn all the knowledge you need to launch your career, including the necessary skills and how to pick them up.
Presentation of the Semantic Knowledge Graph research paper at the 2016 IEEE 3rd International Conference on Data Science and Advanced Analytics (Montreal, Canada - October 18th, 2016)
Abstract—This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between each pair of nodes and their corresponding edge, enabling edges to materialize dynamically from underlying corpus statistics. As a result, any combination of nodes can have edges to any other nodes materialize and be scored to reveal latent relationships between the nodes. This provides numerous benefits: the knowledge graph can be built automatically from a real-world corpus of data, new nodes - along with their combined edges - can be instantly materialized from any arbitrary combination of preexisting nodes (using set operations), and a full model of the semantic relationships between all entities within a domain can be represented and dynamically traversed using a highly compact representation of the graph. Such a system has widespread applications in areas as diverse as knowledge modeling and reasoning, natural language processing, anomaly detection, data cleansing, semantic search, analytics, data classification, root cause analysis, and recommendations systems. The main contribution of this paper is the introduction of a novel system - the Semantic Knowledge Graph - which is able to dynamically discover and score interesting relationships between any arbitrary combination of entities (words, phrases, or extracted concepts) through dynamically materializing nodes and edges from a compact graphical representation built automatically from a corpus of data representative of a knowledge domain.
Whether you are a beginner, a transient, or a data scientist, this plan addresses each individual's needs. You can learn data science in a year if you follow this process.
This talk goes over what Data Science is and how
you can start working with data in
your role. This is for everyone interested in Data
Science who might be unsure about how to
start working with data. Learn the core
concepts of Data Science and how you can
start learning data science pain-free!
-What is Hack?
-What is Hacking?
-History of hacking
-Who is Hacker?
-Types of Hacker
-Why do hackers attack?
-Skills required to be a Hacker
-Modes of hacker attack
-Types of Attack
-How to protect computer against Hackers
-How do I know if my computer has been hacked?
-What to do after hacked?
Distributed Natural Language Processing Systems in PythonClare Corthell
Much of human knowledge is “locked up” in a type of data called text. Humans are great at reading, but are computers? This workshop leads you through open source data science libraries in Python that turn text into valuable data, then tours an open source system built for the Wordnik dictionary to source definitions of words from across the internet.
Thinking Machines Conference, Manila, February 2016
http://thinkingmachin.es/events/
How to Become a Big Data Professional.pdfCareervira
You will be on the right track to becoming a qualified big data professional if you follow the recommendations in this learn guide. If you want to learn more about how to build a successful career in this field and find the many courses available to gain the necessary skills and competence, explore our in-depth learn guide on "How to Become a Big Data Professional" to get started with your career. Learn all the knowledge you need to launch your career, including the necessary skills and how to pick them up.
Presentation of the Semantic Knowledge Graph research paper at the 2016 IEEE 3rd International Conference on Data Science and Advanced Analytics (Montreal, Canada - October 18th, 2016)
Abstract—This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between each pair of nodes and their corresponding edge, enabling edges to materialize dynamically from underlying corpus statistics. As a result, any combination of nodes can have edges to any other nodes materialize and be scored to reveal latent relationships between the nodes. This provides numerous benefits: the knowledge graph can be built automatically from a real-world corpus of data, new nodes - along with their combined edges - can be instantly materialized from any arbitrary combination of preexisting nodes (using set operations), and a full model of the semantic relationships between all entities within a domain can be represented and dynamically traversed using a highly compact representation of the graph. Such a system has widespread applications in areas as diverse as knowledge modeling and reasoning, natural language processing, anomaly detection, data cleansing, semantic search, analytics, data classification, root cause analysis, and recommendations systems. The main contribution of this paper is the introduction of a novel system - the Semantic Knowledge Graph - which is able to dynamically discover and score interesting relationships between any arbitrary combination of entities (words, phrases, or extracted concepts) through dynamically materializing nodes and edges from a compact graphical representation built automatically from a corpus of data representative of a knowledge domain.
Rapid Skillz offers a range Information Technology (IT) online skill development courses from various partners.
For more details please go through the link below along with the presentation.
http://www.rapidskillz.com/category.php?pid=120
Machine Learning and Data Science are the hot technologies everyone is chasing this year, but sharing Machine Learning solutions is more complicated than simple source control. How do you share the process that allowed you to arrive at your solution? How do you effectively communicate between Data Scientists and Developers? How do I make it pretty so that I can present the work to non-technical stakeholders?
This talk answers these questions using Azure Notebooks. We will walk through a real example of a Jupyter Notebook, its features and I how I created it. The topics covered include:
• What are Azure Notebooks? How do they fit into the Azure Ecosystem?
• What is Jupyter? What are it's strengths and weaknesses?
• Mixing code snippets and execution results
• Data Visualization for presentation and analysis
• Markdown for exposition and formatting
• Sharing and Source Control
You'll leave with an understanding of Jupyter and Azure Notebooks and understand how to apply Azure Notebooks to real-world problems.
TARGET AUDIENCE: Developers, Architects, Business Analysts, Data Scientists, Data Developers
Slides from our workshop on IT concepts for Human Resources professionals.
This workshop is intended to explain high level IT concepts to HR professionals in a way that helps them understand the technologies in order to better select candidates for their companies and/or clients.
Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Follow this book's insightful best practices, and you’ll soon be delivering software that’s quicker to market, faster to deploy, and with less last-minute production bugs.
Learn more about the book here: http://mng.bz/opMv
Tuning Up: From A/B testing to Bayesian optimization teaches you proven methods for improving your production systems. Each method has been tested in industry and is fully explained using basic math and code written in Python and NumPy. The book is filled with real-world use cases for quantitative trading, recommender systems, and social media. You’ll learn how to evaluate changes to your system and explore ways to ensure that your testing is not undermining revenue and other business metrics. By the time you’re done, you’ll be able to seamlessly run effective performance experiments whilst avoiding common mistakes and pitfalls.
Learn more about the book here: http://mng.bz/5jnD
Kubernetes Native Microservices with Quarkus and MicroProfileManning Publications
Kubernetes Native Microservices with Quarkus, and MicroProfile introduces a modern approach to enterprise Java development using new tools designed for cloud-native applications. This book begins by exploring the impact Kubernetes and cloud systems have on your application design. Then, it quickly guides you through setting up an application using MicroProfile APIs, Kubernetes, and Quarkus. Using carefully selected examples and crystal-clear explanations, it guides you step by step from design to deployment.
Learn more about the book here: http://mng.bz/Yqrj
Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You’ll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you’ll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you’ll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform. When you’re done, you’ll have the tools to easily bridge the gap between ML models and a fully functioning production system.
Learn more about the book here: http://mng.bz/em9w
Spring in Action, 6th Edition guides you through Spring’s core features explained in Craig Walls’ famously clear style. You’ll roll up your sleeves and build a secure database-backed web app step by step. Along the way, you’ll explore reactive programming, microservices, service discovery, RESTful APIs, deployment, and expert best practices. The latest version of a bestseller upgraded for Spring 5.2, this new edition also covers the RSocket specification for reactive networking between applications, and delves deep into essential features of Spring Security. Whether you’re just discovering Spring or leveling up to Spring 5.2, this Manning classic is your ticket!
Learn more about the book here: http://mng.bz/OvQn
Crafting interactive troubleshooting guides and team documentation for your K...Manning Publications
Tyler Leonhardt's slides from the live@Manning Kubernetes conference (June 30th, 2020).
Learn more about live@Manning conferences here: https://freecontent.manning.com/livemanning-conferences/
Entity Framework Core in Action, Second Edition is a comprehensive guide to accessing databases from .NET applications. Updated and upgraded with new content, new diagrams, and new examples, this second edition of the bestselling original begins with a clear breakdown of Entity Framework, along with the mental model behind ORM. You’ll discover time-saving patterns and best practices for security, performance tuning, and even unit testing, as well as tips and tricks developed by the author through their extensive experience working on different client applications. As you go, you’ll address common data access challenges and learn how to handle them with Entity Framework.
Learn more about the book here: https://www.manning.com/books/entity-framework-core-in-action-second-edition
Code like a Pro in C# builds on your existing programming skills to help you seamlessly upskill your coding practice or transition to C# from Java or another OO language. You’ll learn to write the kind of idiomatic C# code that’s essential for enterprise development, honing your mastery with guided coding katas. You’ll start with essential backend skills, putting them into practice with a common career challenge: refactoring a legacy codebase to be secure, clean, and readable. In the second part of the book, you’ll dive into the brand-new Blazor framework for writing browser-based code in C#, securing your role as a full-stack web developer. By the time you’re done, you’ll have a professional-level understanding of C# and be ready to start specializing with advance-level resources.
Learn more about the book here: https://www.manning.com/books/code-like-a-pro-in-c-sharp
Microservices in .NET Core, Second Edition provides a complete guide to building microservice applications. You’ll start by getting to grips with the unique architectural style of microservices, explained in a way that’s clear and accessible. You’ll move on quickly to practical development skills for building your own microservices using MVC Core and ASP.NET Core, working on real-world projects such as an ecommerce shopping cart. You'll design and build individual services in C# and learn how to compose them into a simple but functional application back end. In brand-new coverage for the second edition, you’ll also learn about scoping microservices and how to handle the complexities of deploying to Kubernetes. Along the way, you'll address production and operations concerns like monitoring, logging, and security.
Learn more about the book here: https://www.manning.com/books/microservices-in-net-core-second-edition
Kubernetes in Action, Second Edition teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with an overview of how Docker containers work with Kubernetes and move quickly to building your first cluster. You'll gradually expand your initial application, adding features and deepening your knowledge of Kubernetes architecture and operation. In this revised and expanded second edition, you’ll take a deep dive into the structure of a Kubernetes-based application and discover how to manage a Kubernetes cluster in production. As you navigate this comprehensive guide, you'll also appreciate thorough coverage of high-value topics like monitoring, tuning, and scaling.
Learn more about the book here: https://www.manning.com/books/kubernetes-in-action-second-edition
Core Kubernetes is a reference guide designed to teach operators, SREs, and developers how to improve reliability and performance of Kubernetes-based systems. In it, Kubernetes experts Chris Love and Jay Vyas provide a guided tour through all major aspects of Kubernetes, from managing iptables to setting up dynamically scaled clusters that respond to changes in load. You’ll understand the unique security concerns of container-based applications, discover tips to minimize costly unused capacity, and get pro tips for maximizing performance. This awesome collection of undocumented internals, expert techniques, and practical guidance has invaluable information you won’t find anywhere else.
Learn more about the book on its product page: https://www.manning.com/books/core-kubernetes
In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you’ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You’ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.
Learn more about the book here: https://www.manning.com/books/machine-learning-bookcamp
This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning, and how to utilize the TensorFlow library to rapidly build powerful ML models. You’ll learn the basics of regression, classification, and clustering algorithms, applying them to solve real-world challenges such as call center volume prediction and sentiment analysis of movie reviews. Once you’ve mastered core ML concepts, you’ll move on to the money chapters: exploring cutting-edge neural network techniques such as deep speech classifiers, facial identification, and auto-encoding with CIFAR-10. Digest this book, and you’ll be able to start modelling your everyday problems as automated machine learning tasks.
Check out the product page here: https://www.manning.com/books/machine-learning-with-tensorflow-second-edition
While creating secure applications is critically important, it can also be tedious and time-consuming to stitch together the required collection of tools. For Java developers, the powerful Spring Security framework makes it easy for you to bake security into your software from the very beginning. Filled with code samples and practical examples, Spring Security in Action teaches you how to secure your apps from the most common threats, ranging from injection attacks to lackluster monitoring. In it, you’ll learn how to manage system users, configure secure endpoints, and use OAuth2 and OpenID Connect for authentication and authorization.
Learn more about the book here: https://www.manning.com/books/spring-security-in-action
By dividing large applications into separate self-contained units, Microservices are a great step toward reducing complexity and increasing flexibility. Spring Microservices in Action, Second Edition teaches you how to build microservice-based applications using Java and the Spring platform. This second edition is fully updated for the latest version of Spring, with expanded coverage of API routing with Spring Cloud Gateway, logging with the ELK stack, metrics with Prometheus and Grafana, security with the Hashicorp Vault, and modern deployment practices with Kubernetes and Istio.
Learn more about the book here: https://www.manning.com/books/spring-microservices-in-action-second-edition
Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you’ll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you’ll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.
If you want to learn more about the book, go here: http://mng.bz/zl6Q
GitOps and Kubernetes introduces a radical idea—managing your infrastructure with the same Git pull requests you use to manage your codebase. In this in-depth tutorial, you’ll learn to operate infrastructures based on powerful-but-complex technologies such as Kubernetes with the same Git version control tools most developers use daily. With these GitOps techniques and best practices, you’ll accelerate application development without compromising on security, easily roll back infrastructure changes, and seamlessly introduce new team members to your automation process.
If you want to learn more about the book, go here: http://mng.bz/G45O
A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, keeping every process along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodge-podge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, Data Pipelines with Apache Airflow teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.
Check out the contents on our browser-based liveBook reader here: https://livebook.manning.com/book/data-pipelines-with-apache-airflow/
Learn PowerShell in a Month of Lunches: Linux and macOS EditionManning Publications
Learn PowerShell in a Month of Lunches, Linux and macOS Edition is a task-focused tutorial for administering Linux and macOS systems using Microsoft PowerShell. Adapted by PowerShell team members Travis Plunk and Tyler Leonhardt from the bestselling Learn Windows PowerShell in a Month of Lunches by community legends Don Jones and Jeffrey Hicks, it features Linux-based examples covering core language features and admin tasks. Designed for busy IT professionals, this innovative guide will take you from the basics to PowerShell proficiency through 25 tutorials you can do in your lunch break.
Find out more about the book here: https://www.manning.com/books/learn-powershell-in-a-month-of-lunches-linux-and-macos-edition
Static websites—sites with fixed content—are the simplest type of web pages. In addition to being easier to create and maintain, they’re inherently more secure that dynamic pages. And with the Hugo static site engine, you can render them in milliseconds. Hugo in Action is a step-by-step guide to using Hugo to create static websites that really show off the advantages of simplicity. Working with a complete example website and source code samples, you’ll learn how to build and host a low-maintenance, high-performance site that will wow your users and stay stable without relying on a third-party server.
Learn more about the book here: https://www.manning.com/books/hugo-in-action?query=hugo
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
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Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
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A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
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BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
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This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Corporate Management | Session 3 of 3 | Tendenci AMS
Data-Oriented Programming: making data a first-class citizen
1. Treating data as a
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principles of Data-oriented programming:
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