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The HackerNoon Newsletter: Understanding the Twitter API So You Can Design Your Own (12/16/2024)

Understanding the Twitter API So You Can Design Your Own - Explore how the X (Twitter) home timeline (x.com/home) API is designed and what approaches they use to solve multiple challenges.
New Tool Promises Faster Websites with Streamlined Server-Rendered UI - The HMPL project is a small template language for displaying UI from server to client.
iPhones Could Become More Expensive Under the Trump Presidency - Trump has proposed to place tariffs on imported goods from China, Mexico, and Canada.
Quickly Bulk Load Image to E-commerce Sites With This Guide - Learn how to efficiently upload bulk images to e-commerce sites instead of manually updating them one by one.

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Dev

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Next.js vs React - Performance and Architecture Analysis In-Depth Comparison

Choosing between Next.js and React is a crucial architectural decision that impacts your project's performance, scalability, and maintainability.
Next.js introduces several architectural patterns that extend React's capabilities.
React's traditional client-side architecture can be slow and impact TTFB.
Next.js provides better SEO out of the box and reduces build times with pre-rendering.
Next.js provides built-in performance optimizations, while React requires manual optimization strategies.
Choose Next.js for server-side rendering, static site generation, and built-in API routes.
React remains the better choice for highly interactive single-page applications and projects where you need complete control over the rendering process.
Understanding your project's requirements is key to choosing the right framework.
Both frameworks are powerful tools in modern web development.
Choose the framework that best aligns with your technical needs and team expertise.

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Medium

150

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Top 10 Data Science Tools for 2024: Empower Your Analytics Game

Jupyter Notebooks is a flexible tool for interactive development and analysis.
R continues to excel in statistical analysis and visualization.
TensorFlow and Keras are essential for AI and deep learning applications.
PostgreSQL is crucial for accessing and analyzing relational databases.
Power BI by Microsoft leads in business analytics and data visualization.
Apache Spark is unparalleled in big data processing and real-time analytics.
Tableau remains essential for creating effective data visualizations.
D3.js is invaluable for highly customizable and interactive data visualizations.
Apache Airflow boosts productivity by automating data workflows.

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Medium

190

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How I Killed Our IDP and How We Could Have Avoided It

The news highlights an incident where the author's service caused the Identity Provider (IDP) to crash.
The team discovered that the high traffic load was a result of the author's service, leading to the IDP becoming unresponsive.
To mitigate the issue, the team had to block all traffic from the author's service, which caused alerts to light up on the author's dashboard.
The incident emphasizes the importance of thorough testing and monitoring to avoid such disruptions.

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Medium

305

Unlock the Power of AI with the AI Engineer Pack

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Medium

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Transitioning from JavaScript to Golang was a Game-Changer for Me.

Golang's simplicity and easy-to-understand syntax make it a great choice for beginners transitioning from JavaScript.
Golang's goroutines and channels make concurrent programming intuitive and efficient, setting developers apart.
Go's direct compilation to machine code provides fast performance, making it ideal for building high-performance applications.
Go's static typing reduces runtime errors, leading to more robust programs compared to JavaScript's dynamic typing.

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Johndcook

252

Gregorian Calendar and Number Theory

The complexity of the Gregorian calendar can be explained by rational approximations to an irrational number.
A calendar based on an average year of 365.2425 days was created, with 97 out of 400 years having 365 days.
The Gregorian calendar is off by about 1 day in 3030 years, but the length of the year varies by about 1 day in 7700 years.
The design of the calendar aimed to minimize the discrepancy between the calendar year and solar year, while also using a round number for the cycle length.

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Logrocket

407

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Generating OpenAPI API clients for Angular

The OpenAPI specification simplifies the RESTful API development process by offering a standard document that developers can use to auto-generate API documentation, validators, and client SDKs.
Using auto-generated API clients brings the following benefits to your Angular projects.
OpenAPI code generation tools let developers build RESTful API clients by importing the YAML/JSON OpenAPI specification file without writing any HTTP client implementation sources.
Automated code generation eliminates common developer errors, such as method naming issues, missing fields in responses, and HTTP client implementation issues in manually written API clients.
OpenAPI client generators rely on API specification files and basic code generation options (e.g., letter case styles), so they will always generate consistent method implementations that app developers can use without confusion.
Let’s learn how to generate OpenAPI API clients for Angular web projects.
In this tutorial, we’ll generate an API client for a sample Angular project and use it to connect with a simple backend RESTful server through the Angular app interface.
Using this approach, you can use any auto-generated client service in any Angular component.
The OpenAPI Generator project offers a CLI for generating API client modules for multiple language targets by importing a YAML/JSON API specification file.
Auto-generated code should be kept away from the Angular app codebase you’ve written manually.

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RealPython

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Dictionaries in Python

Python dictionaries are a built-in data type that stores key-value pairs for efficient data retrieval.
dict() and {} can create dictionaries in Python. Use {} for concise syntax and dict() for dynamic creation from iterable objects.
.__dict__ is a special attribute in Python that holds an object’s writable attributes in a dictionary.
Python dict is implemented as a hashmap for fast key lookups.
Dictionaries in Python are mutable, dynamic, efficient, and ordered.
The keys of a dictionary need to be hashable and unique, and values can be of any Python type, including other dictionaries.
Dictionaries come in handy when processing CSV and JSON files, working with databases, loading configuration files, and more.
It’s important to note that dictionaries are collections of pairs. You need to insert a key with its corresponding value.
Python’s dictionaries are a fundamental part of Python and used in core concepts like scopes and namespaces.
Dictionaries in Python have many characteristics like being dynamic, mutable, efficient, and ordered.

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Medium

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ClickHouse — optimizing bulk inserts for partitioned tables

High cardinality partitions can be useful for achieving fast, deduplicated reads and improving query performance.
Inserting data into highly-partitioned tables can be complex and result in a large number of parts.
Inserting data in order of the partition key can mitigate the issue of a large number of parts.
Another approach is to insert records into an unpartitioned table first and then insert them into the partitioned table.

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Logrocket

323

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An overview of product platforms

Product platforms are becoming increasingly important for creating scalable product ecosystems and shortening time-to-market and reducing cost. They act as a shared set of technologies, components, and procedures that enable related product development.
Platforms can offer key benefits such as improved user experience, supporting ecosystems, and scalability, and rely on three core characteristics such as shared technologies, modularity, and ecosystem-enabling features.
Successful companies that use product platforms include Microsoft Azure, Amazon Web Services, and Apple’s iOS platform, which provide scalable cloud solutions, a range of cloud-based services, consistent user experience and functionality, and clear rules, APIs, and tools to help developers create and distribute programs.
Given the many benefits of product platforms, managing them can be a challenge involving maintaining consistency, balancing flexibility with control, ensuring platform security, and managing technical debt.
Solutions to effective product platform management include creating clear API standards and design guidelines, regular platform evaluations, promoting collaboration, continuous code refactoring, and establishing a robust testing and quality assurance methodology.

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Dev

395

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Animate hero elements with scroll-driven CSS animations

GitHub's landing page features a well-designed centered hero design with a sign-up box that fades away while moving behind the code editor once scrolled down.
Using position:sticky property, the hero box can be placed inside a container and make it stick somewhere when the user scrolls around.
The hero box element should slide under the other elements to create the effect, to create new stacking context, isolation CSS property can be used.
Scroll-driven animations allow to use the CSS Animations API to add scroll animation behavior and it provides a massive performance boost compared to thousands of firing scroll handlers.
To enable scroll-driven animations, there are two new timelines: scroll progress (animation-timeline: scroll()) and view progress (animation-timeline: view()) timelines.
An animation timeline specifies the timeline used to control the progress of a CSS keyframe animation. animation-range enables us to define the start and end of our scroll-driven animation.
To make the animation visible while the text is sticky, we can control the animation depending on the view progress of another element with a named view progress timeline.
Using modern CSS paired with progressive enhancement, we can give users the best experience if their browsers support it.
If you want to learn more about scroll-driven animations, Bramus from the Chrome DevRel team maintains scroll-driven-animations.style.
Scroll-driven animations provide a fantastic performance and an exciting feature that is being developed for future web authors and developers.

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Dev

225

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BrowserStack vs TestGrid: Which Cloud Testing Platform Suits Your Needs?

BrowserStack and TestGrid are two well-known cloud-based testing platforms that offer unique features and capabilities.
TestGrid provides on-premise infrastructure access, codeless automation, CI/CD integration, AI-driven auto-heal, performance testing, rich reporting and insights, robotic test automation, IoT testing and TestGrid CoTester AI.
BrowserStack is a cloud-based platform that offers extensive testing coverage, real device cloud, cross-browser testing, manual and automated testing, reporting and debugging features, CI/CD integrations, BrowserStack Automate, Appium support, and test native device features.
TestGrid offers on-premise infrastructure, network testing features, built-in performance testing, advanced reporting and insights, and robotic test automation, while BrowserStack does not offer these capabilities natively.
TestGrid's pricing model is up to 40% cheaper than BrowserStack, and TestGrid also provides 40 hours of free support each month.
BrowserStack is better suited for straightforward cloud-based testing workflows.
TestGrid is the perfect choice for teams seeking flexibility, innovation, and cost-efficiency.
BrowserStack and TestGrid both offer unique capabilities, and the choice between them depends on organizational requirements.
If teams need on-premise testing, AI-driven insights, advanced features like network monitoring and hardware testing, TestGrid is the superior alternative.
In conclusion, TestGrid is a powerful testing platform that adapts to diverse testing needs, making it a strong contender in the BrowserStack vs TestGrid debate.

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Medium

271

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"AI Will Change Your Life Forever—Here’s How"

AI has the potential to revolutionize various aspects of our lives.
It can provide personalized assistance, predict our needs, and improve healthcare.
Driverless cars powered by AI can enhance safety and efficiency.
AI can also transform education by offering personalized learning experiences.

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Johndcook

101

Golden hospital gowns

There is no direct connection between AI and cryptocurrency, but they both have a similar vibe.
The metaphor of a golden hospital gown is proposed to represent things that are a mixture of good and bad, with both haters and fanboys.
AI's ability to create images from text descriptions is amazing, but there is a strong temptation to settle for mediocre and vaguely creepy images.
The post titled 'Golden hospital gowns' appeared on John D. Cook.

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