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Advanced JavaScript Patterns: Unlocking the Power of Mixins, Factories, and Services

Mixins are a way to share reusable functionality between objects or classes without using inheritance.
Factories are functions that create and return objects, offering a clean way to instantiate objects dynamically.
Services are single-responsibility objects or modules that handle application logic like data fetching, state management, or utility methods.
Mixins, Factories, and Services are powerful patterns that can elevate your JavaScript development.

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Dev

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JavaScript Testing and Automation: Ensuring Quality and Reliability in Your Code

JavaScript testing and automation are essential practices for ensuring the quality, functionality, and performance of web applications.
Testing is critical in software development as it ensures that code behaves as expected, detects bugs early, and makes maintenance easier.
JavaScript testing typically focuses on verifying different types of behavior in applications including functional testing, integration testing, and end-to-end testing.
Popular JavaScript testing frameworks and libraries include Jest, Mocha, Chai, Jasmine, Cypress, Karma, Puppeteer, and TestCafe.
JavaScript automation tools include Webpack, Gulp, Grunt, CI/CD pipelines, and Selenium.
Best practices for JavaScript testing and automation include writing tests early, automating repetitive tasks, using code coverage, and keeping tests isolated.
Unit tests are isolated and not dependent on external resources like databases or APIs. It makes tests faster and more reliable.
Automated testing saves time and boosts confidence in the application's stability and performance.
JavaScript testing and automation are indispensable for building high-quality web applications.
By adopting testing practices and utilizing the right tools, developers can catch bugs early and deliver a better user experience.

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Dev

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GitHub Compliance – All You Need To Know

GitHub has security and compliance regulations companies need to deal with as a set of shared responsibility models.
The organizations that use GitHub Enterprise can grant different access permissions to their employees, and customize a set of permissions for teams and users using role-based access control (RBAC).
GitHub is compliant with GDPR regulations and provides its customers with the ability to access and control the information it collects and processes about them.
The compliance requirements depend on the industry, and the assurance that all the business processes and the sensitive data, including customer’s data, are secure and won’t be accessed by any unauthorized party.
GitHub performs backup of its entire system and all the data users have on the platform, but organizations should have an account-level backup of their data in place for all repositories and metadata.
The organization should have a response to any disaster scenario - the entire GitHub service outage or the organization’s GitHub environment failure.
GitHub has implemented major compliance regulations like AWS, Data Privacy, GDPR, SOC 1 and SOC 2, FedRAMP LI-Saas Authorization to Operate (ATO), Cloud Security Alliance, and ISO/IEC 27001:2013.
Organizations that use Git must take measures to protect their source code and adopt the right strategies and practices to boost their GitHub repositories and metadata security.
The majority of compliance standards focus on areas like metadata categorisation, access control, permissions, source code integrity, auditing and review of access, backup, and recovery.
GitHub Backup plays one of the leading roles and is one of the main requirements for GitHub compliance.

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Medium

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Unexpectedly Drops LLAMA 3.3 — A 70B Model At 25X Lower Cost Than OpenAI’s GPT — 4o

Meta releases Llama 3.3, a cost-effective and efficient AI model.
Llama 3.3 is up to the mark of previous models in qualitative measurements but provides more cost efficiency.
Llama 3.3 outperforms models like Gemini 1.5 Pro and GPT-4o in MMLU tests, increasing knowledge and math capability.
Meta invests over $10 billion in establishing an AI data center to support Llama 4 and new generation models.

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Medium

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5 Hidden RxJS Operators That Will Transform Your Angular Code

RxJS (Reactive Extensions for JavaScript) is a powerful library that enables reactive programming using observables, operators, and schedulers.
There are several lesser-known but incredibly useful operators that can simplify your code and make it more elegant.
Some of these operators include auditTime, pairwise, startWith, and groupBy.
These operators help in optimizing performance, detecting changes, simplifying logic, and categorizing events or data.

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Dev

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Unlock Angular's Full Potential With These 5 RxJS Operators

RxJS operators such as map, filter, and mergeMap are commonly used for transforming and filtering data streams.
Partition helps to handle different types of data in separate streams based on the predicate.
CombineLatestWith is perfect for synchronizing multiple streams in real-time.
Audit ensures precise throttling without losing the latest value.
The expand operator can be used for recursive operations like recursive API calls or tree traversals.
The groupBy operator splits an observable into multiple observables, grouped by a specified key.
Using these lesser-known operators can make your code more efficient and elegant.
Combine partition with expand for advanced logic.
Choose operators based on your data flow requirements.
Start experimenting with these examples, and watch your Angular applications become more dynamic and powerful!

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Medium

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12+ years of coding, hundreds of bugs, and thousands of lines later: Lessons learned.

The author reflects on their 12+ years of coding experience and the lessons learned.
They have worked with frameworks like Laravel, Django, FastAPI, Spring Boot, and Node.js on ambitious projects.
They discuss the challenges faced during production, including platform lag and user complaints.
The author emphasizes the value of stressful moments as opportunities for learning and growth.

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PlanetPython

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Python Software Foundation: PSF Grants: Program & Charter Updates (TLDR)

The Python Software Foundation (PSF) has reviewed and updated its Grants Program to align with the needs of the Python community.
The PSF Board approved changes to the Grants Work Group Charter, focusing on newly established guiding principles.
Upcoming changes to the Grants Program include pausing funding for certain grant types and implementing caps on grant amounts.
The PSF is committed to supporting the community through additional resources, office hours, and monitoring the impact of the updates.

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PlanetPython

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Python Software Foundation: PSF Grants: Program & Charter Updates (Part 2)

The Python Software Foundation (PSF) has outlined a set of Guiding Principles for the PSF Grants Program.
The PSF Board, along with the PSF Staff, collaborated on refining the principles, which were approved by the Board.
The Guiding Principles focus on impactful, reliable, equitable, transparent, and sustainable grant support.
The Principles aim to prioritize underserved communities, high returns on investment, and support for Python and Pythonistas.

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PlanetPython

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Python Software Foundation: PSF Grants: Program & Charter Updates (Part 1)

The Python Software Foundation (PSF) has announced an update to the PSF Grants Program to sustainably match the needs of the Python community, balancing other Foundation programs.
In 2024, the program awarded around $600k, up from $215k in 2022 and roughly $400k in 2023.
As grant requests come in at record levels, the PSF acknowledges the challenge it faces.
To manage the Grants Program more effectively, the PSF presented guiding principles, developed from a board retreat, in November 2024.
Staff then used the principles to examine data from different grant scenarios, which the PSF Board used to consider the pros and cons of each change.
Updates to the Grants Work Group Charter have been approved, and changes to the program will take effect on March 1.
To focus on the impact on conferences and workshops, the PSF intends to support new or smaller events that require financial assistance over more established gatherings that can attract sponsorships.
The changes are tied to the Grants Program commitment to transparency and communication along with quarterly reviews.
The PSF is a smaller foundation and counts on its members, donors, and sponsors, along with agreed-upon goals to ensure the sustainability of its work.
A library of community resources will be created to address conference and workshop gaps, alongside supplementary PSF Grants Program Office Hours, a discussion thread on Discuss.python.org and email contact points for the Board and Staff of the PSF Grants program.

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Pymnts

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Beyond Breaches: Why Security and Trust Are the Real Currency of Payments

The stakes for fraud prevention and data security are rising with innovation across digital payments.
Fraud and security breaches loom large over the payments industry, exacerbated by the rapid evolution of cybercrime.
With the right technologies and strategies, businesses can transform security from a necessary expense into a competitive advantage.
Maintaining trust in the evolving landscape of payments requires a relentless focus on innovation, collaboration, and education.

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Medium

109

Understand DSA through easy way

Data Structures: Linear data structures include arrays, linked lists, stacks, and queues. Non-linear data structures include trees and graphs. Hashing is used for fast data retrieval. Specialized data structures like tries and Bloom filters are used in advanced applications.
Algorithms: Key types of algorithms include searching, sorting, divide and conquer, dynamic programming, greedy algorithms, and backtracking. Complexity analysis measures time and space complexity.
Applications of DSA: DSA is used in database management, web development, artificial intelligence, and operating systems.
Importance of Learning DSA: Learning DSA improves efficiency, problem-solving skills, and enhances career opportunities in top tech companies.

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Dev

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Isomorphic React (Universal Apps): A Complete Guide

Isomorphic React, also known as Universal React, renders an application on both the client and server side.
Server-Side Rendering (SSR) allows the use of pre-rendered HTML to serve the page directly, optimizing performance and user experience.
Hydration is the process React uses to attach event listeners after rendering on the client-side, making the app fully interactive.
With Isomorphic React, the same codebase is used for the client and server, allowing you to share components and reduce redundancy.
Since search engines can index content more easily in traditional client-side rendering, Isomorphic React improves SEO.
Isomorphic React provides a faster initial load, codebase unification, and an improved user experience.
Configuring a server, managing routes, synchronization, and hydration complexities can make SSR more difficult to set up.
Next.js, Gatsby.js, and Remix are popular frameworks for building Isomorphic React apps.
Isomorphic React's performance improvements, SEO benefits, and better user experience make it an excellent tool for modern React app development.
Isomorphic React can serve as a powerful tool in improving performace and user experience for React applications.

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Dev

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HOCON - secret behind .conf files

HOCON (Human-Optimized Config Object Notation) is a flexible and user-friendly configuration format often used in .conf files.
Key Features of HOCON include syntax simplicity, inheritance, comments, substitutions, conciseness, and extensibility.
To interact with .conf files in Python, the pyhocon library can be used.
The library provides functionality to create and read HOCON configuration files.

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Dev

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React Testing: Ensuring Quality and Reliability in Your React Applications

React testing is vital while building complex React applications which ensure a component’s correct behavior under different conditions by writing unit, integration, and end-to-end tests.
There are three main types of testing in React, namely Unit Testing, Integration Testing, and End-to-End Testing.
When testing React components, there are several tools such as Jest, React Testing Library, and Enzyme which can be used, each suited to different types of testing.
Unit tests are the foundation of React testing that focuses on testing individual components in isolation to verify that each component behaves as expected.
React Testing Library is built to encourage tests that focus on how the component behaves from the user's perspective. It helps test components by rendering them in the DOM and interacting with them as a user would.
Snapshot testing is a unique feature of Jest that allows the developer to capture the rendered output of a component and compares it to a previously saved snapshot to ensure that the UI doesn’t change unexpectedly.
To handle the asynchronous behavior of React applications, React Testing Library, and Jest provide utilities like waitFor and findBy to wait for the completion of async tasks.
Mocking allows you to replace parts of your component with mock implementations, making it easier to isolate components from external dependencies.
Test coverage is a metric that indicates the percentage of your codebase tested by your tests.
Testing not only improves code quality but also gives you confidence when deploying updates to production.

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