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From Tutorials to Projects: How to Actually Start Creating Web Projects as a Beginner

Beginner web developers often struggle to start creating web projects due to the overwhelming amount of information.
The most common reason for not starting projects is not knowing where to begin.
To get started, it is important to learn programming logic through tutorials that showcase building projects.
In addition to programming logic, beginners should also focus on understanding the development process to successfully complete projects.

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Dev

318

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CQRS and Event Sourcing in a Simple Shop Example in C#

CQRS and Event Sourcing in a Simple Shop Example in C#
CQRS (Command Query Responsibility Segregation) and Event Sourcing separate the write and read databases in a system.
Write Database: Stores events that represent changes to the objects. Used for creating a history of changes.
Read Database: Stores read models created based on events from the Write Database. Provides data to display to the user.

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Dev

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Deprecation of ListView in .NET MAUI

The .NET MAUI team announced the deprecation of ListView and related cell types in .NET 10 to streamline developer experience.
The CollectionView in .NET MAUI offers advantages like better performance, flexible layouts, and improved customization options.
Migrating from ListView to CollectionView involves steps like replacing control declarations, converting cell templates to DataTemplates, and updating selection handling.
Key differences between ListView and CollectionView include cell types, selection mechanism, item appearance, layouts, performance, grouping, and headers/footers.
The migration process includes converting templates, updating selection handling, converting grouping, managing headers/footers, and utilizing new layout options.
Implementations in ListView need to be updated to use CollectionView for future compatibility and better functionality.
Collection views offer more flexibility in layout options like vertical, horizontal, and grid layouts for better user experience.
CollectionView provides better support for empty state handling, enhancing the overall usability of the application.
Context Actions in ListView can be replaced with SwipeView in CollectionView for similar functionality.
The deprecation of ListView in .NET 10 signifies the importance of migrating to CollectionView for improved performance and developer experience.

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Medium

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Learning the Basics of Racket Syntax

Racket syntax involves everything being written inside parentheses, making expressions consistent and organized.
Each Racket expression is essentially a list, with the first item indicating the operation to be performed.
Racket uses 'define' to assign names to variables or functions, maintaining a consistent structure.
Nesting, using expressions within expressions, is common in Racket and simplifies complex operations.
Racket does not rely on traditional operator precedence rules, instead starting from the inside of expressions.
Racket includes logical tools like 'if' and 'cond' for branching logic in a structured manner.
'Let' in Racket creates local bindings for variables within specific blocks of code.
Lists are fundamental in Racket, created using 'list' or the quote character for non-evaluation.
'Lambda' in Racket defines functions as values, allowing for on-the-fly operations without naming.
Racket's parsing, evaluation, environment management, and syntax expansion contribute to its systematic code execution.

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Dev

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Frontend Evolution — Rethinking Frontend - part 3 - introduction to jModel

jModel is a prototype library designed for managing client-side models (business logic) in a simple, flexible, and efficient way.
Key features include minimalist API, own dependency injection (DI), validation tools, state management, performance optimization, framework agnostic, cross-platform compatibility, and data management.
The jModel library allows defining model objects with a unique identifier for dependency injection, lifecycle options, providers, and a model function factory.
jModel supports reactive state management and can be easily integrated with UI frameworks like Angular using adapters.

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Medium

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Understanding Decimals is Not Enough To Become a Developer.

Understanding numbering systems like binary and hexadecimal is crucial for developers to comprehend how computers process information.
Decimal numbers are converted to binary for computer processing, while ASCII tables aid in interpreting letters and symbols.
Hexadecimal system, with symbols 0-9 and A-F, simplifies representing large binary values in a more concise form.
Programmers in early computer development utilized hexadecimal numbers for easier manipulation and coding.
Professionals today should strive to understand how computers function internally for greater efficiency in their work.
Relying solely on AI-generated code without understanding the processes can hinder critical thinking and problem-solving skills.
Overreliance on AI tools might lead to a loss of creativity and independence in problem-solving among programmers.
The comfort provided by AI tools is revolutionary, but their unchecked usage may have irreversible consequences.
The article emphasizes the importance of deep understanding in programming and urges readers to seek valuable, detailed knowledge.
The author stresses the significance of moving away from superficial content and promoting genuine learning and understanding.

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Medium

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How to Convert PDF to CSV: A Simple Guide for Effortless Data Extraction

Converting PDF data into CSV files is straightforward and essential for data processing.
PDFs are great for viewing documents but not ideal for extracting and working with data.
CSV files are structured for data analysis, with each line representing a row and columns separated by commas.
Converting PDFs to CSV allows for easier analysis, editing, and data manipulation.
Extracting tabular data from PDFs manually can be time-consuming and error-prone.
Various tools and methods, including OCR, are available for converting PDFs to CSV.
After extraction, reviewing and cleaning the data is important to ensure accuracy.
Cleaning the data post-extraction is crucial for accurate analysis.
Once cleaned, the data can be exported as a CSV file for further analysis in various software or systems.
The ability to convert PDFs to CSV offers benefits like increased productivity and efficiency in data handling.

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Medium

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Is Golang Overrated? The Ugly Truth Developers Won’t Tell You

Golang, also known as Go, is a programming language that has gained a devoted following due to its simplicity and clean syntax.
Go's key strengths include a robust standard library and a concurrency model that makes it easier to write scalable, multi-threaded applications.
Developers tired of complexity in languages like C++ or Java have praised Go for its simplicity and breath of fresh air it brings.
Go powers cloud-native tools like Kubernetes and high-performance servers, making it a popular choice in the tech world.

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Medium

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Develop a Python Package and Publish It Using GitHub Actions

Develop a Python Package and Publish It Using GitHub Actions
In this guide, we will develop and publish a simple password generator package called passwarrior.
The package structure is set up and a simple password generator function is added.
The package is built, uploaded to PyPI, and a GitHub Actions workflow is defined for automated publishing.

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Dev

155

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Unpacking Go Channels: A Peek Under the Hood

Go channels are essential for concurrency in Go, allowing goroutines to communicate seamlessly.
Channels act like pipes where data is sent and received without the need for extra locks.
Channels can be unbuffered (blocks until both sender and receiver are ready) or buffered (has a capacity before blocking).
Internally, channels in Go are implemented using a struct called hchan, which manages the data and goroutines.
Sending and receiving data in channels differs for buffered and unbuffered channels.
Unbuffered channels require a handshake between sender and receiver, while buffered ones allow sending until full.
Closing a channel sets it to closed, preventing further sends and causing panics.
The select statement is useful for handling multiple channel operations concurrently.
Understanding the internal workings of channels helps utilize them efficiently for synchronization and data transfer.
Channels in Go combine queues, locks, and goroutine scheduling for effective concurrency management.

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Dev

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MapData App (a full-stack playground)

The MapData Project is a full-stack playground designed for managing map data using Java and Angular.
The project includes a backend RESTful API (mapdata-api), an Angular-based frontend (mapdata-app), a database management component (mapdata-db), and a pure HTML/JS frontend (mapdata-web).
The project is built with Java, Angular, Docker, Python, and Vanilla JavaScript.
Developers can easily create the API and app by cloning the repository and following the provided instructions.

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Dev

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Understanding the Single Responsibility Principle in S.O.L.I.D

S.O.L.I.D principles aid in writing flexible and scalable code, with Single Responsibility Principle (SRP) being the focus of this article.
SRP dictates that a class/module should have only one primary responsibility to avoid complexity and maintainability issues.
A real-world analogy illustrates SRP - like experts in a supershop focusing on specific tasks, code should segregate responsibilities too.
An example demonstrates a violation of SRP where a class handles both database operations and email sending.
Adhering to SRP involves separating responsibilities into dedicated methods or modules to avoid tight coupling.
Common SRP violations include not adhering to the DRY principle, missing the KISS principle, and tight coupling.
To achieve SRP, centralize shared functionalities, keep classes focused, and avoid tight coupling through composition.
Benefits of SRP include reusability, easier debugging, simpler testing, better organization, and maintainability.
Implementing SRP leads to better code quality, making maintenance, testing, and scaling easier in software projects.
The article concludes by emphasizing the importance of implementing SRP and hints at covering the Open/Closed Principle in future blogs.

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PlanetPython

319

Ned Batchelder: Human sorting improved

When sorting strings, you'd often like the order to make sense to a person.
Ned Batchelder has improved the human sorting of strings.
The central idea is to turn a string into a tuple of intermixed strings and integers for sorting.
For advanced sorting needs, the natsort package is recommended.

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Dev

137

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2818. Apply Operations to Maximize Score

Given an array of positive integers and an integer k, the task is to maximize the score by selecting subarrays and multiplying the score by the element with the highest prime score.
The prime score of an integer is the count of distinct prime factors it has.
Using monotonic stacks, determine the left and right boundaries for each element to find the valid subarrays where it is the maximum element.
Calculate the number of subarrays for each element where it is the maximum element based on its boundaries.
Sort the elements by their value, prime score, and index to prioritize elements for maximizing the score.
Implement a greedy approach by multiplying the score with the highest possible values first using efficient modulo calculations.
The solution involves calculations for prime scores, fast exponentiation, and handling large powers modulo 109 + 7.
The provided PHP implementation demonstrates how to find the maximum score for given examples.
The complexity of the solution lies in efficiently handling prime scores, determining boundaries, and selecting elements for multiplication.
By following the outlined approach, one can optimize the score calculation process for given arrays and maximize the final score.

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Medium

201

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How to Build a Spam Email Classifier Using Python and Machine Learning

This project focuses on building a Spam Email Classifier using Machine Learning techniques.
The project entails steps such as data preprocessing, feature extraction, model training, and model evaluation.
The classifier is trained using logistic regression and TF-IDF for feature extraction.
The results show high accuracy in classifying emails as spam or ham.

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