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Unveiling Dart 3.1: New horizon for functional programming in Flutter

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Tags functional-programming app-development android programming

Dart 3.1 is the latest release of the popular Dart programming language, which has seamlessly woven the principles of functional and object-oriented concepts into its core. This new version signifies a leap forward for developers who wish to delve into more expressive, robust, and flexible coding patterns in the Dart language. By Nidhi Sorathiya.

The presence of functional programming paradigms in the Dart programming language is not a new development. Since its inception, Dart has shown signs of being influenced by the functional style of programming, with features like higher-order functions and the expansive collection APIs that use lambdas extensively.

The article then explains:

  • Retrospective look: Functional programming in Dart
  • Introduction to data modeling in Dart
  • Expanding Dart: Functional features within Dart’s framework
  • Dart’s multifaceted approach: Mix of algorithmic and object-oriented programming
  • Dart 3.1: Developing a functional code base
  • Deciphering Dart’s language features
  • Code optimization with Dart 3.1

… and more. Dart 3.1 signifies an important milestone in Dart’s journey as it seeks to unite the best of object-oriented and functional programming paradigms. The new features and enhancements are designed to gear developers toward a more dynamic and flexible way of programming in Dart. Good read!

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Report explores quantum computing in particle physics

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Tags big-data machine-learning cio fintech infosec miscellaneous

Researchers from CERN, DESY, IBM Quantum and more than 30 other organisations have published a white paper identifying activities in particle physics that could benefit from quantum-computing technologies. By Kristiane Bernhard-Novotny.

Quantum computing is very promising, but not every problem in particle physics is suited to this model of computing,

Alberto Di Meglio, head of IT Innovation at CERN

40 page-long paper is the outcome of a working group set up at the QT4HEP conference held at CERN last November, which identified topics in theoretical and experimental high-energy physics where quantum algorithms may produce significant insights and results that are very hard or even not accessible by classical computers.

Neutrino oscillations in extreme environments, such as supernovae, are one promising example given. In the context of quantum computing, neutrino oscillations can be considered strongly coupled many-body systems that are driven by the weak interaction.

In experimental physics, potential applications range from simulations to data analysis and include jet physics, track reconstruction and algorithms used to simulate the detector performance. One key advantage here is the speed up in processing time compared to classical algorithms. Quantum-computing algorithms might also be better at finding correlations in data, while Monte Carlo simulations could benefit from random numbers generated by a quantum computer. Super interesting read!

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Google BigQuery ETL: 11 best practices for high performance

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Tags gcp cloud big-data cio data-science

Google BigQuery – a fully managed Cloud Data Warehouse for analytics from Google Cloud Platform (GCP), is one of the most popular Cloud-based analytics solutions. Due to its unique architecture and seamless integration with other services from GCP, there are certain best practices to be considered while configuring Google BigQuery ETL (Extract, Transform, Load) & migrating data to BigQuery. By Faisal K K.

This article will give you a birds-eye view of Google BigQuery, its key features, and how it can enhance the ETL Process in a seamless manner, including:

  • What is Google BigQuery?
    • Key Features of Google BigQuery
  • What is ETL?
  • Best Practices to Perform Google BigQuery ETL
    • GCS as a Staging Area for BigQuery Upload
    • Handling Nested and Repeated Data
    • Data Compression Best Practices
    • Time Series Data and Table Partitioning
    • Streaming Insert
    • Bulk Updates
    • Transforming Data after Load (ELT)
    • Federated Tables for Adhoc Analysis
    • Access Control and Data Encryption
    • Character Encoding
    • Backup and Restore

However, performing these operations manually time and again can be very taxing and is not feasible. You will need to implement them manually, which will consume your time & resources, and writing custom scripts can be error-prone. Moreover, you need full working knowledge of the backend tools to successfully implement the in-house Data transfer mechanism. Nice one!

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Cloud governance framework: How to develop, implement and follow one

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Tags cloud software learning management infosec

For many organisations, cloud computing has become the backbone of modern business operations. And with this backbone comes the need for policies, processes, and controls to ensure the secure and efficient management of cloud resources and services. You need a new friend: allow us to introduce cloud governance. By Ancoris Says.

A cloud governance framework is a structured and comprehensive set of policies, procedures, and controls that govern the usage, management, and security of cloud resources within an organisation.

The article then guides through these topics:

  • What is a cloud governance framework?
  • What are the benefits of having a cloud governance framework?
  • Implementing a cloud governance framework
  • Following a cloud governance framework
  • Challenges and considerations for cloud governance frameworks

In conclusion, developing, implementing, and following a cloud governance framework is essential for businesses embarking on their cloud journey. Nice one!

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Site-speed topography remapped

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Tags css frontend web-development ux app-development

Updated version of Site-Speed Topography technique for getting broad view of an entire site’s performance from just a handful of key URLs and some readily available metrics. By Harry Roberts.

The idea is that by taking a handful of representative page- or template-types from an entire website, we can quickly build the overall landscape—or topography—of the site by comparing and contrasting numerical and milestone timings. The basic premise is that by taking key metrics from multiple different page types, and analysing the similarities, differences, or variations among them, you can also very quickly realise some very valuable insights about other metrics and optimisations you haven’t even captured.

Similar Time to First Byte (TTFB) across pages suggests that no pages have much more expensive database calls than others; large deltas between TTFB and First Contentful Paint highlight a high proportion of render-blocking resources; gaps between Largest Contentful Paint and SpeedIndex suggest late-loaded content. These insights gained across several representative page types allow us to build a picture of how the entire site might be built, but from observing only a small slice of it.

You will also get a spreradsheet with calculations which will provide info on how pages perform overall across all metrics, which pages exhibit the best or worst scores for a given metric, general stability of a specific metric, are any metrics over budget? And by how much?, we can also set thresholds for those budgets, we can begin to infer other issues from metrics already present. Nice one!

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Fog computing vs edge computing

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Tags miscellaneous cloud cio apis iot

Fog and edge computing, innovative technologies situated at the outskirts of the cloud ecosystem, hold the potential to revolutionize data processing. Delving into the intricacies of these approaches reveals how they can significantly enhance data processing methods. While both terms are sometimes used interchangeably, it’s crucial to understand the nuanced differences that set them apart. By Jari Haiston.

The article pays attention to:

  • What is fog computing?
  • The advantages of fog computing
  • Disadvantages of fog computing
  • Fog computing use cases
  • Advantages of edge Computing
  • Disadvantages of edge computing
  • Edge computing use cases

In contrast to fog computing, edge computing’s intelligence resides at the point of data generation. Edge servers and storage are deployed within devices to collect and process sensor-generated data. Processed data can then be forwarded to data centers for analysis, review, and archival. Interesting read!

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How to turn your Raspberry Pi into NAS server [Guide]

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Tags robotics web-development iot servers

In this modern age of science and technology, data is like the heart and soul of a system. How many times have you bought external hard drives for extra storage till now? Plenty, I guess. But wouldn’t it be awesome to have your personal storage in the cloud with unlimited space just to save your information and data? It’s possible! All you need is a raspberry pi with an external or USB hard drive, and your personal NAS system will be ready in no time. By Mehedi Hasan.

A NAS is a network-connected storage device that you can use to store or retrieve data from a central server while being at home with any device. You can now store anything, including movies and games, in your NAS network and run on them on multiple devices

The article then deals with:

  • Things you will need
  • Installing the Raspberry Pi OS
  • Getting the IP address
  • Securing the NAS server
  • Download and install OpenMediaVault5
  • Logging onto the Web interface
  • Change password and basic setups
  • Connecting and preparing storage for NAS server
  • User access and privilege assigning

… and much more. A NAS system can be quite expensive; creating one using your own Raspberry Pi is an affordable choice and a fun project to initiate. This NAS system will save and protect your data like any other purchased storage space. Good read!

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Ten best self-hosted apps for your Raspberry Pi

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Tags robotics web-development iot big-data miscellaneous servers

This article provides you with the best and most popular applications by categories that you can self-host on your Raspberry Pi device. By Bobby Borisov.

Before we get to this article’s point, let’s look at Raspberry Pi’s main advantages as a self-hosting platform. Size matters. Finding a space in your home for a server or PC that you don’t trip over every day or that suits the interior design isn’t the most practical or easy thing to accomplish. With a size as small as a cigarette box, Raspberry Pi can virtually be placed anywhere and stay completely invisible. The Raspberry Pi’s fanless design ensures complete silence, to the point where you may forget the device is in your home performing its functions. And finally Raspberry Pi has a negligible impact on your electricity bills due to its sub-3 watt consumption.

The article then mentions:

  • Media server
  • File sync server
  • Virtualization platform
  • Ads blocker
  • Home automation
  • Security center
  • News aggregator
  • Password manager

As you can see, the possibilities for your Raspberry Pi device are nearly unlimited. But, of course, we’ve only looked at a few of the best and most popular self-hosted Raspberry Pi apps here. Good read!

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What is Arduino? A beginner's guide to understand it

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Tags robotics app-development iot big-data

What is Arduino? Well, before, working with electronics required a strong understanding of mathematics, physics, and other concepts. But with the advent of technology, various tools and equipment have changed the electronics working model so that immense knowledge is no longer required. By Aakash Yadav.

This article introduces you the Arduino meaning and its history. It will also cover every type of Arduino board available, Arduino microprocessors, why to use Arduino, components of Arduino UNO, and constraints and applications of Arduino. It explains:

  • What is Arduino?
  • Arduino UNO Starter Kit Specifications
  • Types of Arduino boards
  • What is on the Arduino board?
  • Why should you use Arduino?
  • Constraints of Arduino
  • Applications of Arduino

Whether you’re a beginner or experienced circuit designer, opt for Arduino to create unique applications with this easy-to-install program. You can download Arduino IDE for coding and start working on your versions of Arduino, as it is available freely and is open-source. Nice one!

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Build performance analysis for speeding up Xcode builds

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Tags ios app-development web-development programming performance

Build performance can be analyzed in Xcode to speed up your builds. This can quickly speed up your workflow and save a lot of time during the day for all developers working on the project. Slow builds often distract us as they enable us to focus on distractions like social media and Slack. By Antoine Van Der Lee.

By investigating your build performance and investing some time to improve where possible, you’ll see that you can make progress with a few small steps. Author made their WeTransfer’s incremental build time 4x faster using several optimizations. Let’s dive into the options we have today:

  • Measuring build performance using the Xcode Build Timeline
  • Build performance insights with Build Timing Summary
  • Optimizing build phases
  • Type checking of functions and expressions
  • Build settings to speed up build performance
  • Swift Package Build Plugins

Now and then, it’s good to revisit your Xcode build times. You can benefit from every second you gain, and remember that it builds up over time: a second for every build is a minute for every 60 builds you do. Improvements can be made throughout project settings, build phases, and code-type checking improvements. Good read!

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