Development

Preface

This article is an example of how we can do research into Swift Standard Library functions behavior building our knowledge not only on the Library documentation but also on its source code.

Unrecoverable Errors

All events which programmers call "errors" can be separated into two types.

• Events caused by external factors such as a network connection failure.
• Events caused by a programmer's mistake such as reaching a switch operator case which should be unreachable.

If you’re unfamiliar with TypeScript, it’s a language that brings static type-checking to JavaScript so that you can catch issues before you even run your code – or before you even save your file. It also includes the latest JavaScript features from the ECMAScript standard on older browsers and runtimes by compiling those features into a form that they understand. But beyond type-checking and compiling your code, TypeScript also provides tooling in your favorite editor so that you can jump to the definition of any variable, find who’s using a given function, and automate refactorings and fixes to common problems.

We’re excited to announce that Visual Studio 2019 will ship a new version of F# when it releases: F# 4.6!

F# 4.6 is a smaller update to the F# language, making it a “true” point-release. As with previous versions of F#, F# 4.6 was developed entirely via an open RFC (requests for comments) process. The F# community has offered very detailed feedback in discussions for this version of the language. You can view all RFCs that correspond with this release here:

• F# 4.6 RFCs
• FSharp.Core 4.6.0 RFCs

This post will detail the feature set and how to get started.

This is where the reader probably asks:

The C++ Core Guidelines’ Lifetime Profile, which is part of the C++ Core Guidelines, aims to detect lifetime problems, like dangling pointers and references, in C++ code. It uses the type information already present in the source along with some simple contracts between functions to detect defects at compile time with minimal annotation.

The module was created as a part of my master thesis in the 2010 year. The master thesis theme is Keylogging in Linux kernel. The main idea was to find out a way to intercept system calls for x64 arch Linux kernel, especially for kernel 2.6.34.7-61.fc13.x86_64.

Introduction & Recap

In the previous blog post, we started designing our application rendering a table with some Business Partner. We learned what OData protocol is, how to read an OData XML manifest, how to bind data to a Table and how to customize columns layout based on different screen resolution.

What will be covered on this exercise

With Part 2 of this series of blog posts, we will learn how to interact with data in our Tables and List. We will learn how to filter and sort data in a smart way.

• Create JSONModel to handle local data
• Set a default sizeLimit to our JSONModel
• FilterBar: UI control that displays filters in a user-friendly manner to populate values for a query
• Use XML Fragments to create a View Settings Dialog to handle sort and group data
• Filter and Sort data
• Add an Info Toolbar to our table to display useful information

Introduction & Recap

In the previous blog post, we have created a new SAPUI5 application on our SAP SCP WebIDE Full stack and we have configured it to use the destination to the SAP Netweaver Gateway Demo ES5.

What will be covered on this exercise

• What is an XML Metadata Manifest and what’s inside it?
• How to use our OData Model and bind it into our application
• Use a sap.m.Table with items and property binding
• Use sap.ui.model.type.DateTime to format JavaScript Date
• How to style columns to act differently on mobile/tablet/desktop devices

Have you ever wondered how to track when elements with positions: sticky become fixed? Eric Bidelman has an amazing post on this topic, go and read it now.

I've found some difficulties while using it in my project. Here they are:

1. It breaks encapsulation. sticky-change event relates to header element, but you have to insert sentinels to header's parent (and make it position: relative).
2. It involves lots of factors that should be consistent and their connection is not always obvious. For example you can't set --default-padding greater than 40px, which is top-sentinel's height.
3. You can't track block in the middle of an article.

Let's try to improve it!

How did engineers in the past manage to measure electrical power without modern microchips and DSPs? This article explores the Energomera CE6806P, a device created in 2006 for verifying electricity meters, yet built using 1980s-era technology.

We’ll take a closer look at its design, principles of operation, and how discrete-analog solutions were used to achieve high accuracy. The Energomera is a fascinating example of engineering and ingenuity, giving us a unique perspective on the evolution of electrical measurement devices.

Picture this: A thriving e-commerce platform faces a constant battle against fake reviews that skew product ratings and mislead customers. In response, the company employs cutting-edge algorithms to detect and prevent fraudulent activities. Solutions like these are crucial in the modern digital landscape, safeguarding businesses from financial losses and ensuring a seamless consumer experience.

The industry has relied on rules-based systems to detect fraud for decades. They remain a vital tool in scenarios where continuous collecting of a training sample is challenging, as retraining methods and metrics can be difficult. However, machine learning outperforms rules-based systems in detecting and identifying attacks when an ongoing training sample is available.

With advancements in machine learning, fraud detection systems have become more efficient, accurate, and adaptable. In this article, I will review several ML methods for preventing fraudulent activities and discuss their weaknesses and advantages.