A java programming course for those who have 2 to 3 years' experience. Now, you want to add functional programming to your object-oriented skills.
https://aleftavtraining.siterubix.com/
Java programming course for expert users, combining traditional object-oriented with functional coding techniques
https://aleftavtraining.siterubix.com/
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017StampedeCon
This technical session provides a hands-on introduction to TensorFlow using Keras in the Python programming language. TensorFlow is Google’s scalable, distributed, GPU-powered compute graph engine that machine learning practitioners used for deep learning. Keras provides a Python-based API that makes it easy to create well-known types of neural networks in TensorFlow. Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to train neural networks of much greater complexity. Deep learning allows a model to learn hierarchies of information in a way that is similar to the function of the human brain.
A java programming course for those who have 2 to 3 years' experience. Now, you want to add functional programming to your object-oriented skills.
https://aleftavtraining.siterubix.com/
Java programming course for expert users, combining traditional object-oriented with functional coding techniques
https://aleftavtraining.siterubix.com/
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017StampedeCon
This technical session provides a hands-on introduction to TensorFlow using Keras in the Python programming language. TensorFlow is Google’s scalable, distributed, GPU-powered compute graph engine that machine learning practitioners used for deep learning. Keras provides a Python-based API that makes it easy to create well-known types of neural networks in TensorFlow. Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to train neural networks of much greater complexity. Deep learning allows a model to learn hierarchies of information in a way that is similar to the function of the human brain.
Find out how to configure and package clustered Payara Micro with load balancing, automatic scaling and dedicated storage for building cloud-native microservices. Then with the help of cloud scripting and triggering, automate CI/CD for the deployed application and emulate the load to check the scaling and performance results.
Dr scalalove: How I learned to stop worrying and love the functionsDianne Marsh
n this introduction to Scala, I will demonstrate why I love Scala and why I think that you will too. You’ll learn why you don’t need to go from 0 to functions and how you can ease yourself into this language. I’ll show you some Scala, compare it to Java, and give you pointers on how to start your journey into this functional object-oriented language.
In this tutorial we will present Koalas, a new open source project that we announced at the Spark + AI Summit in April. Koalas is an open-source Python package that implements the pandas API on top of Apache Spark, to make the pandas API scalable to big data. Using Koalas, data scientists can make the transition from a single machine to a distributed environment without needing to learn a new framework.
We will demonstrate Koalas’ new functionalities since its initial release, discuss its roadmaps, and how we think Koalas could become the standard API for large scale data science.
What you will learn:
How to get started with Koalas
Easy transition from Pandas to Koalas on Apache Spark
Similarities between Pandas and Koalas APIs for DataFrame transformation and feature engineering
Single machine Pandas vs distributed environment of Koalas
Prerequisites:
A fully-charged laptop (8-16GB memory) with Chrome or Firefox
Python 3 and pip pre-installed
pip install koalas from PyPI
Pre-register for Databricks Community Edition
Read koalas docs
First project in DNN
The steps for first project are as follows:
Load Data.
Define Keras Model.
Compile Keras Model.
Fit Keras Model.
Evaluate Keras Model.
Make Predictions
This presentation introduces people to Cassandra and Column Family Datastores in general. I will discuss what Cassandra is, how and when it is useful, and how it integrates with Rails. I will also go in to lessons learned during our 3-month project, and the useful patterns that emerged. The discussion will be very technical, but targeted at developers who are not familiar with, or have not done a project with Cassandra.
Apache Maven supports ALL Java (Javaland 2019)Robert Scholte
With the Release Train we can expect a new version of Java every 6 month. This means that tools like Maven should try to keep up with this pace. Especially Java 9 came with quite some new features and Maven managed to support these features. Maven found an elegant solution to work with modulepaths and classpaths without any need for developers to specify which jars belongs where.
This session will highlight the most important features developers should know to work with Java 9, 10 and beyond, combined with some practical tips and warnings.
Robert Scholte is the chairman of Apache Maven and on behalf of the Maven team he was a member of the expert group for JSR-376, also known as project Jigsaw. He has done most of the implementations to support the Java 9+ features in Maven.
Apache Maven supports all Java (JokerConf 2018)Robert Scholte
With the release train we can expect a new version of Java every 6 months. This means that tools like Maven should try to keep with this pace. Especially Java 9 came with some new features, and Maven managed to support these features. Maven found an elegant solution to work with modulepaths and classpaths without any need for developers to specify which jars belongs where.
This session will highlight the most important features developers should know to work with Java 9 and 10, combined with some practical tips and warnings.
We run multiple DataStax Enterprise clusters in Azure each holding 300 TB+ data to deeply understand Office 365 users. In this talk, we will deep dive into some of the key challenges and takeaways faced in running these clusters reliably over a year. To name a few: process crashes, ephemeral SSDs contributing to data loss, slow streaming between nodes, mutation drops, compaction strategy choices, schema updates when nodes are down and backup/restore. We will briefly talk about our contributions back to Cassandra, and our path forward using network attached disks offered via Azure premium storage.
About the Speaker
Anubhav Kale Sr. Software Engineer, Microsoft
Anubhav is a senior software engineer at Microsoft. His team is responsible for building big data platform using Cassandra, Spark and Azure to generate per-user insights of Office 365 users.
Creating Responsive Drupal Sites with Zen Grids and the Zen 5 ThemeAcquia
Too many responsive websites fall into the "move the sidebars around" trap and end up looking the same as any other responsive site. By combining the CSS of Zen Grids and the smart markup of the Zen 5 theme, you can create a stellar, unique responsive design for your website with ease.
Zen has always been a popular starting point for building Drupal themes, but the new Zen 5 has been re-written from the ground-up with updated best practices including HTML5, Modernizr integration, Normalize, IE conditional classes, responsive layouts, and, best of all, Sass and Compass integration.
Zen Grids is an all new project, independent from the Zen theme. The Zen Grids system reinvents the flexible, but complicated CSS layout method in old versions of the Zen theme, transforming it into a radically simplified process using the power of Sass. Where traditional grid systems (like 960.gs) often don't scale to match a responsive design's requirements, Zen Grids makes it incredibly easy to create amazing responsive layouts in just a couple lines of code.
what is apr, what does apr mean, apr vs interest rate, annual percentage rate, apr definition, annual interest rate, annual percentage rate definition, what's apr, what is annual percentage rate, apr interest, interest vs apr, interest rate apr, rate apr, calculate annual percentage rate, what apr mean, how to calculate apr on loan, is annual percentage rate the same as interest rate,how to find an annual interest rate, meaning of apr on credit cards
Find out how to configure and package clustered Payara Micro with load balancing, automatic scaling and dedicated storage for building cloud-native microservices. Then with the help of cloud scripting and triggering, automate CI/CD for the deployed application and emulate the load to check the scaling and performance results.
Dr scalalove: How I learned to stop worrying and love the functionsDianne Marsh
n this introduction to Scala, I will demonstrate why I love Scala and why I think that you will too. You’ll learn why you don’t need to go from 0 to functions and how you can ease yourself into this language. I’ll show you some Scala, compare it to Java, and give you pointers on how to start your journey into this functional object-oriented language.
In this tutorial we will present Koalas, a new open source project that we announced at the Spark + AI Summit in April. Koalas is an open-source Python package that implements the pandas API on top of Apache Spark, to make the pandas API scalable to big data. Using Koalas, data scientists can make the transition from a single machine to a distributed environment without needing to learn a new framework.
We will demonstrate Koalas’ new functionalities since its initial release, discuss its roadmaps, and how we think Koalas could become the standard API for large scale data science.
What you will learn:
How to get started with Koalas
Easy transition from Pandas to Koalas on Apache Spark
Similarities between Pandas and Koalas APIs for DataFrame transformation and feature engineering
Single machine Pandas vs distributed environment of Koalas
Prerequisites:
A fully-charged laptop (8-16GB memory) with Chrome or Firefox
Python 3 and pip pre-installed
pip install koalas from PyPI
Pre-register for Databricks Community Edition
Read koalas docs
First project in DNN
The steps for first project are as follows:
Load Data.
Define Keras Model.
Compile Keras Model.
Fit Keras Model.
Evaluate Keras Model.
Make Predictions
This presentation introduces people to Cassandra and Column Family Datastores in general. I will discuss what Cassandra is, how and when it is useful, and how it integrates with Rails. I will also go in to lessons learned during our 3-month project, and the useful patterns that emerged. The discussion will be very technical, but targeted at developers who are not familiar with, or have not done a project with Cassandra.
Apache Maven supports ALL Java (Javaland 2019)Robert Scholte
With the Release Train we can expect a new version of Java every 6 month. This means that tools like Maven should try to keep up with this pace. Especially Java 9 came with quite some new features and Maven managed to support these features. Maven found an elegant solution to work with modulepaths and classpaths without any need for developers to specify which jars belongs where.
This session will highlight the most important features developers should know to work with Java 9, 10 and beyond, combined with some practical tips and warnings.
Robert Scholte is the chairman of Apache Maven and on behalf of the Maven team he was a member of the expert group for JSR-376, also known as project Jigsaw. He has done most of the implementations to support the Java 9+ features in Maven.
Apache Maven supports all Java (JokerConf 2018)Robert Scholte
With the release train we can expect a new version of Java every 6 months. This means that tools like Maven should try to keep with this pace. Especially Java 9 came with some new features, and Maven managed to support these features. Maven found an elegant solution to work with modulepaths and classpaths without any need for developers to specify which jars belongs where.
This session will highlight the most important features developers should know to work with Java 9 and 10, combined with some practical tips and warnings.
We run multiple DataStax Enterprise clusters in Azure each holding 300 TB+ data to deeply understand Office 365 users. In this talk, we will deep dive into some of the key challenges and takeaways faced in running these clusters reliably over a year. To name a few: process crashes, ephemeral SSDs contributing to data loss, slow streaming between nodes, mutation drops, compaction strategy choices, schema updates when nodes are down and backup/restore. We will briefly talk about our contributions back to Cassandra, and our path forward using network attached disks offered via Azure premium storage.
About the Speaker
Anubhav Kale Sr. Software Engineer, Microsoft
Anubhav is a senior software engineer at Microsoft. His team is responsible for building big data platform using Cassandra, Spark and Azure to generate per-user insights of Office 365 users.
Creating Responsive Drupal Sites with Zen Grids and the Zen 5 ThemeAcquia
Too many responsive websites fall into the "move the sidebars around" trap and end up looking the same as any other responsive site. By combining the CSS of Zen Grids and the smart markup of the Zen 5 theme, you can create a stellar, unique responsive design for your website with ease.
Zen has always been a popular starting point for building Drupal themes, but the new Zen 5 has been re-written from the ground-up with updated best practices including HTML5, Modernizr integration, Normalize, IE conditional classes, responsive layouts, and, best of all, Sass and Compass integration.
Zen Grids is an all new project, independent from the Zen theme. The Zen Grids system reinvents the flexible, but complicated CSS layout method in old versions of the Zen theme, transforming it into a radically simplified process using the power of Sass. Where traditional grid systems (like 960.gs) often don't scale to match a responsive design's requirements, Zen Grids makes it incredibly easy to create amazing responsive layouts in just a couple lines of code.
what is apr, what does apr mean, apr vs interest rate, annual percentage rate, apr definition, annual interest rate, annual percentage rate definition, what's apr, what is annual percentage rate, apr interest, interest vs apr, interest rate apr, rate apr, calculate annual percentage rate, what apr mean, how to calculate apr on loan, is annual percentage rate the same as interest rate,how to find an annual interest rate, meaning of apr on credit cards
Java for beginners programming course (updated)Marius Claassen
Are you new to programming? Then learn Java from this PDF. It is a supplement to the free video course, complete with images, diagrams, problem statements, coding exercises and solutions.
https://aleftavtraining.siterubix.com/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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/
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
2. About me
Marius Claassen, Java Developer and Teacher
I am a self-taught java developer. Having been a teacher for many
years, I am now working full-time as an independent software
instructor, making video tutorials. It is my mission to help others learn
programming in general and Java in particular.
2
Marius Claassen
Java Arrays
7. Lecture 2: One-D arrays
0 1 2
11.5 14.9 17.2
7
indices
array length of 3
elements
Marius Claassen
Java Arrays
8. Lecture 2: One-D arrays
One-dimensional arrays problem statement:
Implement a one-dimensional double array
initialized with elements: 11.5 14.9 17.2 and
print all the elements.
// 11.5 14.9 17.2
8
Marius Claassen
Java Arrays
9. 9
public class Lecture2 {
public static void main(String[] args) {
dStream.forEach(d-> System.out.print(d+“ ”);
double[] decimalNums = {11.5, 14.9, 17.2};
decimalNums);
DoubleStream dStream = Arrays.stream(
}
}
// 11.5 14.9 17.2
Marius Claassen
Java Arrays
11. 0 1 2 3 4
alpha bravo charlie delta echo 0
foxtrot golf hotel india juliet 1
kilo lima mike november oscar 2
papa quebec romeo sierra tango 3
11
4 Rows
5 Columns
Marius Claassen
Java Arrays
12. Lecture 3: Two-D arrays
Two-dimensional arrays problem statement:
Implement a two-dimensional String array
and print out the element in row 1, column 3.
// india
12
Marius Claassen
Java Arrays
13. 13
public class Lecture3 {
public static void main(String[] args) {
{“kilo”, “lima”, “mike”, “november”, “oscar”},
String[][] phoneticAlphabet = {
{“foxtrot”, “golf”, “hotel”, “india”, “juliet”},
{“alpha”, “bravo”, “charlie”, “delta”, “echo”},
{“papa”, “quebec”, “romeo”, “siera”, “tango”}
}; System.out.print(phoneticAlphabet[1][3]);
} } // india
Marius Claassen
Java Arrays
15. Lecture 4: Project
Albania, Brazil, China, Denmark
Egypt, Belarus, France, Greece
Hungary, Israel, Japan, Kenya
Libya, Mexico, Namibia, Peru
Write a Java program that implements a suitable
array and print the element at row two, column
one.
15
Marius Claassen
Java Arrays
16. To access this course:
• http://skl.sh/2n6ZrJL
or
• mariusclaassen@gmail.com
16
Marius Claassen
Java Arrays