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Custom builder for Angular: My way

The article shares the experience of building a custom builder for Angular with a micro-frontend architecture implemented using Native Federation (NF).
The article discusses the problems faced while working with Angular 19 and shares the process of overcoming them.
First, the author set the goals of the project and started by creating a new workspace through create-nx-workspace.
The dev environment was prioritized with a focus on a reproducible and straightforward configuration.
Next, the article shares insights on configuring the main build, mandatory deployUrl, and the module loader.
The author also presents solutions to problems faced while working with SSR on a dev-server.
The implementation of importmap simplified dependency and routing management for micro-frontend architecture.
Finally, the article concludes with the author sharing that the developed solution is working smoothly on their production environment.
The article is full of technical details and the author shares their experience of building a custom builder for Angular in a well-structured manner.
The solutions presented here might be useful for readers looking to work on a similar project.

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13 Likes

Medium

389

Part 4: Debugging and Optimizing Java Streams for Performance

The peek method allows you to inspect each element in the pipeline without altering the stream.
Break down the pipeline into smaller parts for better visibility.
Integrate logging into your stream operations to monitor the flow of data.
Parallel streams can speed up computation for large datasets by leveraging multiple CPU cores.
Combine operations where possible to avoid excessive intermediate operations.
Stateful operations like sorted and distinct can lead to memory overhead. Limit their use, especially on large datasets.
Utilize specialized streams (IntStream, LongStream, DoubleStream) for numerical data to avoid boxing and unboxing overhead.
Use short-circuiting operations like limit and findFirst to terminate pipelines as soon as possible.

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Dev

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Resolving Auto-Scroll issues for overflow container in a Nuxt app

The author shares their experience resolving the auto-scroll issue caused by an overflow container in a Nuxt app
The initial design involved using CSS flex and overflow properties to make only the main content container scrollable
However, issues arose when adding a table of contents and navigating between sections
The solution involved removing the height and overflow properties from the body tag and using position: sticky for the header

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2 Likes

Dev

339

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How to Resolve the 'Permission Denied' Error in PHP File Handling

When working with file handling in PHP, encountering the dreaded Permission Denied error can be frustrating, especially when dealing with file creation or writing operations.
The error typically occurs when the script lacks sufficient permissions to access the specified file or directory.
To resolve the 'Permission Denied' error in PHP file handling, you can follow these steps:
1. Check directory permissions, ensuring the directory has the correct permissions.

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20 Likes

Dev

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A beginner's guide to the Lama model by Allenhooo on Replicate

The lama model is a powerful image inpainting system developed by Roman Suvorov and his team.
It can complete large missing areas in high-resolution images, handling complex geometric structures and periodic patterns.
The model takes an image and a corresponding mask as inputs and outputs a completed image with the missing area filled in.
The lama model is versatile and can generalize to higher resolutions than its training data, making it useful for various image restoration tasks.

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2 Likes

Damienbod

212

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ASP.NET Core user delegated access token management

The article focuses on managing user delegated access tokens for a downstream API in an ASP.NET Core web application.
An access token management solution should securely store tokens per user session, handle expiration, support restarts and multi-instance deployments, and manage scenarios with invalid or missing tokens.
The implementation example using Duende Token Management package demonstrates how to add token management in the application.
The package enables retrieving access tokens for each user and session, adding a named HttpClient client for accessing the API resource, and requesting data from the downstream API using the access token.

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12 Likes

Javacodegeeks

380

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Spring reactive Mono.fromCallable vs Mono.justOrEmpty

Mono is a crucial part of handling asynchronous and non-blocking streams in Spring Reactive Framework.
Mono.fromCallable is a method that creates a Mono from a Callable operation.
Mono.justOrEmpty is a method that creates a Mono from a potentially null value, emitting the value if it is non-null or completing without emitting anything.
Mono.fromCallable should be used when you have a potentially blocking or time-consuming operation that should be executed asynchronously.
Mono.justOrEmpty simplifies the process of handling optional or missing data by allowing you to avoid the need for explicit null checks.
Mono.fromCallable is ideal for operations such as database queries, web service calls, or file I/O, which may involve waiting for external resources or processing large amounts of data.
Understanding the use cases of Mono.fromCallable and Mono.justOrEmpty helps in building efficient and responsive reactive applications.
Both methods serve distinct purposes in the reactive programming model, use Mono.fromCallable for deferred execution of operations and Mono.justOrEmpty for handling potentially null values in a reactive stream.
Mono.fromCallable allows for robust error handling strategies and non-blocking execution of potentially blocking operations.
Mono.justOrEmpty simplifies handling optional data, allowing for cleaner and more predictable data flows without explicitly checking for null.

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22 Likes

Dev

199

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How Supabase Made Me Rethink App Development (And Honestly, I’m Obsessed)

Supabase has revolutionized app development by providing a smooth authentication system that is easy to set up and scalable.
Their pre-hosted, feature-packed Postgres database simplifies data management and offers row-level security and column-level policies.
Supabase's documentation is praised for its clear explanations and helpful examples, supported by an active community.
The platform seamlessly integrates with various frontend frameworks and languages, making it versatile and developer-friendly.

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11 Likes

Medium

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Stoncat Joins the Mini Apps Heroes!

Stoncat joins the Mini Apps Heroes, a mascot competition on the TON blockchain.
Mascots from across the blockchain will compete in a survival-style battle.
Stoncat represents the top DEX, STON.fi, and aims to become the reigning mascot.
The STON.fi community is encouraged to support Stoncat and participate in the event.

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4 Likes

Dev

140

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The Perils of Presumption: Why Making Assumptions in Development is Bad

Making assumptions in software development can lead to problems with requirements, bugs, wasted effort, communication breakdowns, and increased maintenance costs.
Assumptions can result in misunderstood requirements, leading to features that don't meet user expectations.
Assumptions about data types or system behavior can introduce bugs and errors that are difficult to detect.
Assumptions can cause wasted development effort, leading to unnecessary code and increased complexity.
Assumptions can create communication barriers and conflicting expectations among developers, testers, and stakeholders.
Code based on assumptions is often difficult to maintain and adapt, leading to increased maintenance costs.
To avoid making assumptions, teams should prioritize clear requirements, constant communication, asking questions, prototyping, thorough testing, and documentation.

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8 Likes

Medium

122

How to Automatically Activate a Python Virtual Environment in Linux and VS Code

To automate the activation of a Python virtual environment in Linux and VS Code, you can add a script to your shell configuration file.
In the Linux terminal, add the script to the ~/.bashrc file and reload the shell configuration for the changes to take effect.
In VS Code, add the script to the settings.json file to ensure that the virtual environment activates automatically in the terminal.
By automating the activation of virtual environments, you can save time and streamline your development workflow.

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7 Likes

Medium

140

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Unpacking Tuples, Lists, and Other Sequences in Python

Python allows you to assign values to variables simultaneously using unpacking.
Unpacking can be used to extract specific parts of a list while discarding the rest.
The * operator can be used to gather remaining elements of an iterable into a list.
Unpacking works with sequences of any length and can be used with generator objects as well.

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Dev

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A Complete Beginner’s Guide to Python Training Course

Python is a popular and versatile programming language with a simple syntax.
Learning Python offers various career prospects in software development, data science, AI, and more.
A beginner Python course covers topics like data types, control structures, libraries, and hands-on projects.
Choosing a Python course provides a structured curriculum, expert guidance, practical projects, and motivation.

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4 Likes

Javacodegeeks

328

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Pandas vs. PySpark: A Java Developer’s Guide to Data Processing

Pandas is primarily used for small to medium-sized datasets that fit into memory (RAM), which is ideal for most day-to-day data analysis tasks.
PySpark is specifically built to scale across large datasets that may not fit in memory.
Pandas offers a wide range of functions to handle missing data, merge datasets, and perform complex aggregations.
PySpark provides fault tolerance and distributed data processing, and can scale to handle terabytes or petabytes of data.
Pandas is intuitive and suitable for data scientists, while PySpark is more complex and designed for big data engineers.
Pandas integrates with Python libraries like NumPy, while PySpark integrates with Hadoop, Spark, and big data tools.
Choose Pandas if you work with small to medium datasets and prioritize simplicity, speed, and Pythonic tools for data analysis.
Choose PySpark if you are dealing with large datasets, need to scale your computation across multiple machines, or require integration with big data tools and frameworks.
Java developers may transition to PySpark for big data projects, while Pandas will continue to serve as an excellent tool for quick data analysis and prototyping.
Understand the strengths and weaknesses of each tool to decide which one to use based on your project needs.

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19 Likes

Medium

271

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VBA Type Mismatch Error: Fixing Key Construction Issues in Excel

A 'type mismatch' error in VBA occurs when incompatible data types are used in an operation.
Common causes include incorrect data type assignments, incompatible input with functions, and mixing data types within a line of code.
Effective debugging involves examining the highlighted line but also checking for potential errors elsewhere. Use the VBA debugger and handle potential errors strategically.
Practical solutions include using the correct methods to access cell values, validating user inputs, checking for blank cells, and breaking down complex operations for precise debugging.

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16 Likes

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