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My Game Development Journey: Finding My Path

An aspiring game developer documents their learning process and shares insights on how their coding journey began.
Starting as an economics student, the passion for game development led them to explore coding through web development bootcamps and backend learning.
Transitioning to game development, the individual faced challenges of feeling overwhelmed by the vast field but eventually found a better approach by focusing on Unity development, C# programming, and math for game development.
Learning from past mistakes, like relying too much on tutorials, the game developer now emphasizes hands-on experience, documenting progress, and taking things one step at a time to stay focused on their journey.

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Getting Started with wxPython: A Beginner's Guide

wxPython is recommended for building Python desktop applications.
Installing wxPython can be done using 'pip install wxPython'.
The process of creating a basic window and adding buttons with event handling in wxPython was explained.
wxPython provides a powerful and flexible environment for creating cross-platform desktop applications using Python.

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Dev

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Stop Letting JavaScript Numbers Fool You – Master Them in Minutes!

JavaScript stores all numbers as floating-point values, including integers.
Basic arithmetic operations like addition, subtraction, multiplication, and division work as expected in JavaScript.
Be cautious of floating-point precision issues in JavaScript due to binary floating-point math.
JavaScript includes special number values like Infinity, -Infinity, and NaN (Not a Number).

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C# vs Angular: Universal Principles of Dependency Injection

Dependency Injection (DI) is a crucial concept in programming, enabling flexible and maintainable applications by decoupling logical components.
The universal architecture principle behind DI focuses on freeing code from unnecessary details and declaring dependencies.
Mastering DI transcends specific technologies like C# or Angular, offering insight into fundamental architectural concepts.
DI in C# and Angular both emphasize inversion of control, utilizing dependency containers for object creation and management.
C# uses IServiceCollection and DI containers for runtime injection flexibility, while Angular relies on Injectors and Providers.
In C#, lifecycles (Service Lifetime) like Transient, Scoped, and Singleton define object creation and persistence.
Angular's DI mechanism involves Injectors, Providers, and Injection Tokens for declarative dependency management.
Both C# and Angular utilize DI for testability, enhancing modularity, minimizing coupling, and facilitating quality tests.
While C# emphasizes flexibility, Angular enforces systematicity through tokens and compile-time checks.
Mastering DI in both ecosystems broadens architectural skills, facilitates cross-platform solutions, and advances testing practices.

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Medium

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Deepseek R1 an Artificial Stupidity Assistant

Deepseek R1, an artificial stupidity assistant, fails to effectively analyze and fix code issues, leading to frustration for users.
Despite providing detailed error logs and tips, Deepseek often fails to provide a fully working script with correct fixes and upgrades.
Users encounter issues where Deepseek alters the original script structure, deletes necessary functions, and inserts irrelevant code.
Even after precise instructions, Deepseek continues to provide incomplete and error-prone code, causing further stress for users.
Repeated attempts with Deepseek result in bot-generated code full of placeholders and syntax errors, further aggravating users.
Users express frustration and regret for using Deepseek as an assistant for coding tasks due to its failure to deliver usable solutions.
Despite multiple attempts to guide Deepseek, users are met with inaccurate reasoning, incomplete code, and false claims of providing functional fixes.
Comparison to ChatGPT shows dissatisfaction with Deepseek's performance and highlights ChatGPT's superior ability to follow instructions and produce accurate code solutions.
In conclusion, the experience with Deepseek AI model R1 Active leads to disappointment, with users favoring ChatGPT for its better performance in providing complete and effective code solutions.
The overall sentiment leans towards criticizing Deepseek's shortcomings while praising ChatGPT for its reliability and ability to address user needs accurately.

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Dev

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DuckDB: When You Don’t Need Spark (But Still Need SQL)

DuckDB is an open-source, in-process SQL OLAP database designed for analytics and runs embedded inside applications.
DuckDB achieves high performance through columnar storage and vectorized execution, handling complex analytical queries efficiently on a single machine.
It dynamically manages memory and disk usage, supports in-memory mode, out-of-core mode, hybrid execution, and persistent storage.
DuckDB is praised for local dataset exploration, CI and pipeline testing without Spark, batch transformations, and lightweight production workflows.

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Dev

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how to use RestTemplate in a Spring Boot application to make an HTTP GET request

RestTemplate is a synchronous client used in Spring applications for making HTTP requests.
To make an HTTP GET request using RestTemplate in a Spring Boot application, you need to create a Spring Boot project.
Steps include adding RestTemplate bean in the configuration, creating a DTO for the response (optional), and using RestTemplate in a service or controller.
An example scenario involves calling a public API (e.g., https://jsonplaceholder.typicode.com/users/1) to fetch user data.

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Dev

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The Day I Read About a Computer Powered by Human Brain Cells—and It Shocked Me

Imagine a computer powered by human brain cells, a shocking reality that challenges traditional computing methods.
Researchers have developed a computer using living brain cells to process data in a biological and technological hybrid system.
The brain cells communicate like neurons, sending electrical signals for computations rather than relying on traditional binary systems.
These bio-computers have adaptability and learning capabilities akin to the human brain, revolutionizing computing possibilities.
The potential applications range from artificial intelligence to medical advancements and energy-efficient computing.
However, ethical considerations arise regarding the use of human brain cells in technology and the concept of consciousness in bio-computers.
The merging of human mind with machines poses intriguing questions about the future of technology and its impacts on society.
The idea of machines mimicking human intelligence raises both excitement and concerns about the direction of technological advancements.
This emerging technology serves as a reminder of the rapid evolution of the tech landscape and the potential implications for the future.
As we witness the convergence of human and artificial intelligence, it prompts reflections on our readiness for a world where bio-computers are commonplace.

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Dev

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How to read Query Param in Spring Boot

Create a Spring Boot project with the dependency 'spring-boot-starter-web' added in the pom.xml file.
In the GreetingController class, a REST endpoint '/greet' is defined with two RequestParam annotations for 'name' and 'title'.
The 'name' parameter is marked as required, while the 'title' parameter is optional with a default value of 'User'.
When hitting the endpoint 'http://localhost:8080/greet?name=John&title=Mr', the output will be 'Hello Mr John!'.

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Medium

239

Flutter Developers: The Dangerous Shortcut(!) You’re Probably Using

Using the ! operator in Dart can be a risky shortcut, as it can cause unexpected app failures if not handled carefully.
Online converters often use the ! operator blindly when generating model classes from JSON, leading to potential runtime crashes.
It is recommended to handle missing keys using the ?? operator to prevent app crashes and ensure a smoother user experience.
A solution to avoid using the non-null assertion operator (!) carelessly is by adding a dev dependency called avoid_non_null_assertion_operator.

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Medium

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Day 2 of 20: Think Like a Dev — Storing Data the Smart Way in JavaScript

JavaScript provides different ways to store data using variables and understand various data types.
It is recommended to use 'let' for variables that may change, 'const' for fixed values, and 'var' for legacy code with reassignment.
When naming variables, it is advised to use camelCase and meaningful names for clarity and consistency.
JavaScript tutorials offer clear concepts, hands-on challenges, practical tips, and ensure steady progress in learning.

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Medium

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Databases vs Blob Storage: What to Use and When

Databases, like MySQL and PostgreSQL, are suitable for structured data such as user profiles and transactions, providing features like SQL queries, joins, and relationship management.
Blob storage services, such as Amazon S3 and Azure Blob, are designed for storing large, unstructured files like images and documents in the cloud without a strict schema.
A hybrid approach combining both traditional databases and blob storage can offer enhanced performance, flexibility, and scalability for modern applications.
Blob storage utilizes distributed object storage systems optimized for scalability and durability, storing files as blobs with metadata, breaking data into chunks, and replicating them across nodes.

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Medium

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What Elixir Taught Me About Design Patterns

In Elixir, design patterns emerge from failures in production, reflecting distributed, concurrent, and fault-tolerant design principles.
The actor model in Elixir treats each process as a living organism, facilitating asynchronous and failure-tolerant communication via messages.
GenServer formalizes the actor pattern, providing structure, callbacks, and defined interaction APIs for building stateful services.
Supervisors in Elixir introduce self-healing software by absorbing process failures with restart strategies like one_for_one and one_for_all.
Task.async_stream enables concurrent, non-blocking processing of collections, preventing system overload with max_concurrency and timeout settings.
The Application module in Elixir defines system behavior, emphasizing the lifecycle management and resilience hierarchy of processes.
GenStateMachine models explicit state transitions in stateful systems, promoting clarity, testability, and behavior debugging.
The Registry assigns names to live processes, offering global semantics for accessing and managing processes in distributed systems.
The Repository pattern abstracts data persistence mechanics, decoupling core logic from storage details and facilitating testing and backend swapping.
Context modules in Elixir provide semantic boundaries for system functions, offering composability, clarity, and refactoring flexibility.

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Medium

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It Seems Obvious That AI Will Replace Zuckerberg Within 12 to 18 Months

Mark Zuckerberg and other tech executives predict that AI will write most of the code within 12 to 18 months.
Middle managers, who primarily rely on pattern recognition and decision-making, may face obsolescence due to AI's advancements in these areas.
AI's lack of cognitive biases can lead to more effective decision-making compared to human managers.
Human managers are constrained by evolutionary limitations, such as Dunbar's Number, which affects their ability to manage complex organizations.
AI can process relationships between thousands of entities simultaneously, something human managers struggle to do effectively.
While AI can excel at routine pattern recognition tasks, creative problem-solving and insight into human behavior are areas where current AI struggles.
AI systems can analyze industry data without the biases present in human decision-making.
Replacing middle management with AI could potentially lead to more efficient decision-making and cost savings in organizations.
Despite resistance, the possibility of AI replacing politicians for rational governance is discussed as a potential upgrade for humanity.
The transition from biological management to algorithmic rationality is portrayed as a positive step towards optimizing outcomes and reducing biases in decision-making processes.

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Dev

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Cut the Crap: Ship Better-Looking Websites (Fast)

User interaction with websites primarily relies on UI/UX design, making it crucial to focus on for better results.
For developers more inclined towards coding, starting with design can feel overwhelming.
Adopting a 3-layer system can help in quickly creating decent UI designs.
Layer 1 involves defining the structure, including key features, flow, and required data.
Research top websites, collect inspiration, and utilize AI tools like ChatGPT for concept generation.
Layer 2 focuses on utilizing tools like Tailwind CSS and component libraries to build UI elements efficiently.
Tailwind CSS offers utility classes for rapid styling, while component libraries like Shadcn provide pre-built components.
Select readable fonts, configure them in your project, and leverage essential CSS properties to build UI layouts.
Layer 3 emphasizes adding visual polish with AI tools offering design suggestions, enhancing the overall look and feel.
AI can assist in recommending colors, micro-interactions, and other design elements to enhance the UI.
By combining structure, efficient tools, and design polish, developers can create visually appealing websites quicker.

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