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Nix at level 0 is still awesome

Nix is a language, package manager, and OS based on Nix with the most packages available.
Nix solves the problems of installed packages and dependency conflicts.
To install Nix, you can use the official installer or a recommended installer, which handles various distros.
Nix allows for one-time use with 'nix-shell' or installation with 'nix profile install', and removal with 'nix profile remove'.

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Medium

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The MEDIUM Math Puzzle

To create a unique PIN using 4 distinct digits, the concept of permutations is applied.
The process of arranging items where the order matters is called Permutation.
The problem is similar to an exercise encountered in university.
The word MEDIUM is used as an example for the challenge.

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Johndcook

What exactly is a second?

Unix time is the number of non-leap seconds since January 1, 1970, but the rotation of the Earth is slowing down.
The second is defined in terms of the oscillations of light waves, specifically the radiation corresponding to the transition between the hyperfine levels of the ground state of the caesium-133 atom.
Cesium was chosen for atomic clocks due to its ease of isolation, and 9,192,631,770 periods of radiation were chosen for backward compatibility with the historical definition of a second.
The length of a year and the historical definition are no longer relevant, as the current definition of a second is based on the number of radiation periods.

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Dev

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Matrix code rain - in Rust

The author has recently started working with Rust and finds it amazing due to its speed, type safety, and versatility.
As a practice project, the author implemented the Matrix code rain in Rust, which turned out to be a good little project involving algorithms and terminal manipulation.
The implementation includes three different structs: Symbol, Column, and Matrix, each responsible for different functionalities like storing and editing characters, initializing raindrops, and managing the matrix table.
While the current implementation works well with '1' and '0' characters, the author is seeking help to make it work with more characters.

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Medium

406

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Is Telegram the future of Messaging? Privacy, Profit and What’s Next !

Telegram has evolved into one of the most popular messaging applications worldwide.
Recent changes in Telegram's privacy policies have caused controversy.
Telegram's financial performance has been impressive, with increasing revenue and user numbers.
Telegram has plans for expanding its user community and introducing new features.

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Medium

173

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STON.fi — The TON Trials: Earn Points for Staking STON

Earn 1 point for every 3 STON staked on STON.fi.
Participate in The TON Trials to climb the leaderboard and amplify rewards.
$50,000 reward pool for top leaderboard achievers.
Join the contest on Galxe platform and complete tasks to earn points.

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Dev

262

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Working with APIs in Python: A Practical Guide

Application Programming Interface (or API) is an abstracted layer that enables communication between different software applications and components.
In this article, you will learn how to utilize a publicly available API using Python.
requests is one of the most downloaded Python packages with around 30M downloads every week according to pypi. It enables you to send HTTP requests easily in Python.
By going through to the end of this article, you should: Learn about the requests library in Python.Know how to make GET, PUT, PATCH, DELETE and POST requests.Learn to store and utilise the data received from an API call inside your code.
requests is a tested and trusted Python package, used by many established brands like IBM.
The requests library provides a simplistic way of making HTTP requests in your Python code.
Working with APIs in Python never got any easier—there are other popular libraries for interacting with APIs in Python, but the requests library was chosen for its simplicity.
Making a simple GET request for retrieving existing data is easy with the requests library. It returns an object that can be explored to get more details about the request made.
A POST request can be sent to a specified endpoint to create a new record with the request library. It sends data to the prescribed endpoint and returns a response object with beneficial information about the request sent.
A PUT request replaces existing records with new ones and takes new data from the sender or client.

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Dev

224

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Some Caveats for GitHub Workflow and Action

In GitHub workflows, if it's necessary to check labels, 'labeled' event is enough, 'opened' event is not needed.
For GitHub actions, in order to checkout the current repository, 'contents: write' permission is required.
When using the GitHub API, the environmental variable 'GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}' should be used.
In the GitHub API, when listing pull requests, pagination can be achieved using per_page and page parameters.
To filter the current context, the GitHub API can be used to list the state of all contexts.
To create a commit status, the GitHub API can be used to specify the state, context, and description.
In the GitHub repository settings, 'Require status checks to pass before merging' should be checked under 'Protect matching branches' in the Branch protection rule.
To add the current GitHub action to the required status checks, it should be added in 'Status checks that are required'.

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Dev

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OTP UI/UX with html css and javascript

This code snippet demonstrates a UI/UX design for an interactive OTP input using HTML, CSS, and JavaScript.
The code creates a container with a title and an OTP input field.
The OTP input field consists of four input boxes that only accept single-digit input.
The code includes validation for the entered OTP and provides visual feedback for correct and incorrect input.

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Dev

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Understanding Linked Lists: A Solution to Array Limitations

Arrays are versatile and efficient data structures, but come with limitations like fixed size and sequential memory allocation.
Linked lists are dynamic data structures that store data in non-contiguous memory locations, allowing flexibility in size and efficient memory utilization.
Linked lists eliminate the need for contiguous memory allocation making it resilient to fragmentation.
Linked lists can dynamically grow or shrink during runtime without the need to pre-allocate or reallocate memory.
Adding or removing elements from linked lists is faster than in arrays, especially in the middle of the structure.
Singly linked, doubly linked, and circular linked lists are three types of linked lists.
Creating a linked list in C++ involves defining a node class and implementing the data and next pointer.
Memory for linked list nodes is allocated dynamically and needs to be deallocated using delete to avoid memory leaks.
Linked lists require more memory overhead than arrays, and slower access times since traversal is required.
Linked lists are a powerful alternative to arrays when dynamic size and efficient insertions or deletions are required.

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Javacodegeeks

199

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[DEALS] NordVPN: 1-Yr Subscription (39% off) & Other Deals Up To 98% Off – Offers End Soon!

NordVPN is offering a 1-year subscription at 39% off
Other deals include AOMEI Backupper Professional Edition: Lifetime Subscription (38% off), FileJump 2TB Cloud Storage: Lifetime Subscription (82% off), and more
Subscribe to the newsletter to receive free eBooks and develop your skills
Tags: Deals

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Dev

305

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⭐️🌐 🎀 JavaScript Visualized: Promises & Async/Await

The ES6 introduced Promises as a placeholder for a value that can either resolve or reject at some time in the future.
Promises can help in dealing with tasks that rely on other tasks.
Promises can resolve or reject depending on the condition and status of the function.
Event Loop has two queues: the (macro) task queue and the microtask queue.
Within the Event Loop, Promise gets added to the microtask queue.
Async/Await makes working with Promises easier through the use of await keywords, which suspends the async function as soon as the awaited value gets resolved.
Async functions implicitly return an object that can be used instead of explicitly creating promises using the Promise object.
Async functions are different compared to a promise then because the await keyword suspends the async function.
Working with asynchronous JavaScript may seem overwhelming, but it takes experience to feel confident while working with it.
If you want to know more about promises states and fates, you can check the domenic/promises-unwrapping GitHub repo.

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Dev

211

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Building a Chess Agent using DQN

The author shares their experience of implementing a DQN-based Chess Agent.
They familiarized themselves with the chess environment and created a custom wrapper.
The FEN format was converted into a matrix representation for input to a neural network.
A replay buffer, auxiliary functions, and a neural network structure were implemented.

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Dev

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How to make the best of a slow machine running on limited resources with a Windows environment as a Java Engineer

As a Java Engineer working with a Windows environment, it can be challenging with limited resources and tools.
One way to install packages using mechanisms similar to package managers is to use Chocolatey.
To install necessary software, one can use Chocolatey to install Minikube, Virtualbox, maven, git and vim.
There are multiple ways to install Docker, one of which includes using Chocolatey.
In order to install Ubuntu for windows, one has two options, to either use Ubuntu for Windows or install the wsd.
For Java installation, one can either use SdkMan or Ubuntu commandline with APT, and installation of utilities such as vim, git and maven can be done via Terminal.
One can configure Intellij to use the required Java version and can choose Terminal command in Preferences/Settings.
Virtual machines are resource-consuming, hence containers are preferred to use a real Unix/Linux based system.
If using a Professional or Enterprise version, one can use the WSL as it is advantageous as it requires no container and is easy to configure Intellij.
The installation process can be simplified by using Chocolatey and PowerShell.

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Dev

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Creating Typescript app with decorator-based dependency injection 💉

Lemon DI is a TypeScript library that enforces a component-based development approach while remaining flexible and easily extensible for various use cases.
All classes decorated with @Component automatically become injectable components.
Non-class entities can be instantiated using factories (@Factory) and injected using unique tokens.
The core idea behind Lemon DI is similar to NestJS, but with different naming conventions.
This library is still in its early stages.
TypeORM is an external library, and the data source can be created using a factory.
Each argument in the component constructor is automatically provided by the DI system.
Decorators are enabled in TypeScript by adding "experimentalDecorators": true and "emitDecoratorMetadata": true in tsconfig.json.
Lemon DI is a powerful pattern for maintaining code quality in the long term.
Component-based development is a flexible approach for building applications that can be quickly extended.

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