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The Single Post You Need to Learn the Basics of Flyte

Flyte is a Kubernetes-native workflow orchestrator for data processing, ML, and analytics built in Go.
It offers simplicity, powerful tools, and flexibility for orchestrating workflows, akin to Airflow.
Setting up Flyte locally involves installing flytectl, starting a local deployment, creating test data, and uploading files to Minio.
Creating workflows in Flyte involves defining tasks using Python, Docker images, and annotations.
Tasks in a workflow can load and process data, clean and aggregate data, detect outliers, and create reports.
The workflow created in the demo showcases Flyte features with tasks like data loading, cleaning, aggregation, and outlier detection.
Running the workflow is done using 'pyflyte run' command, with defined flags for project, domain, and workflow file.
The workflow execution progress can be tracked on the UI, and outputs like reports can be accessed and downloaded.
Flyte provides a straightforward way to manage workflows and tasks, making it easy to integrate into your platform.
Learning the basics of Flyte enables users to efficiently orchestrate data processing and ML workflows.

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Medium

361

Why Your Business Needs a Custom Web and Mobile App in 2025

Mobile and web apps provide direct communication channels for businesses and customers, enhancing engagement through features like push notifications and personalized recommendations.
Well-designed apps increase a brand's visibility and credibility, building trust and loyalty among customers.
Custom apps offer unique features tailored to a business, standing out from off-the-shelf solutions and growing with the business.
Apps with integrated e-commerce and in-app purchases can generate new revenue streams and provide insights into customer behavior for optimizing marketing strategies.

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Dev

169

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Software Design Principles: Practical Implementation with User Roles

Software design is a fundamental pillar for developing scalable, maintainable, and flexible applications.
The focus of this document is on the practical implementation of the Liskov Substitution Principle (LSP) and the Interface Segregation Principle (ISP) as part of the SOLID principles.
These principles are applied in a user role system to improve the structure, maintainability, and flexibility of the code.
By implementing LSP and ISP, the code becomes more extensible, interchangeable, and focused on specific responsibilities.

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Medium

245

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Why AI Chats Are Essential for Programmers

The emergence of AI chat engines like ChatGPT and Copilot has raised concerns about the impact on certain professions, including programming.
ChatGPT offers advantages over platforms like Stack Overflow, including automating simple but tedious tasks and serving as a learning resource.
AI chat engines can help automate tasks such as data formatting and extraction, saving time for programmers.
Engaging in conversations with AI engines allows programmers to learn new concepts and improve their skills.

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14 Likes

Medium

437

AI in Mental Health: Can Chatbots Replace Therapists?

AI chatbots like Woebot, Replika, and Wysa are digital companions designed to offer coping strategies, track mood, and provide support.
These chatbots have been shown to reduce symptoms of depression and anxiety, and the mental health chatbot market is projected to hit $500 million by 2027.
However, chatbots cannot fully replace therapists as they lack human connection, intuition, and the ability to read non-verbal cues.
Chatbots have limitations in interpreting nuances, handling crises, and privacy concerns, but they can complement therapy as mental health first aid.

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Medium

263

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The Stock Market Play I Predict Will Be Huge

The stock market is experiencing uncertainty due to various factors, including Trump's tariffs and geopolitical tensions.
Nvidia's stock price has decreased from $153.13 to $109.67, reflecting the decline in the tech and semiconductor industry.
The semiconductor industry is expected to rise dramatically, driven by the increasing use of AI and the popularity of code editors with AI agents.
While Vibe Coding with AI agents can enhance development speed, there are concerns about potential drawbacks and mistakes.

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15 Likes

Medium

380

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How a Simple App Helped Me Earn $500 a Week

The 2024 AI App is revolutionizing side hustles by generating a hands-free income from Amazon.
Users have reported earning up to $500 a week, thanks to the app's user-friendly interface and intuitive design.
The app utilizes advanced artificial intelligence to analyze Amazon trends and identify profitable products.
Freelancers, bloggers, and online sellers have found value in automating their income streams with the 2024 AI App.

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Medium

How to create a numpy.array from a list of floats with shared-memory with version 2.1.3

NumPy arrays can be created from various sources, including Python lists, tuples, and even existing arrays.
Direct creation using np.array() is the most straightforward method, but other functions like np.zeros(), np.ones(), and np.arange() offer specialized array generation capabilities.
NumPy arrays provide efficient data handling, manipulation, and operations such as arithmetic, element-wise operations, matrix operations, and reshaping.
NumPy's broadcasting mechanism simplifies operations between arrays of different shapes, eliminating the need for explicit loops and leading to significant performance gains.

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Medium

129

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The ‘Coding Gurus’ You Follow Are Secretly Lying to You

The idea that there’s a single best language to start with is nonsense.
Your first language isn’t that important - learning how to think like a programmer is what matters.
Don't believe the myth that you need to memorize complex data structures to be successful.
Focus on logic, debugging, and problem-solving skills instead of specific languages.

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7 Likes

Medium

423

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OCEON AI: The Productivity Game-Changer You Didn’t Know You Needed

OCEON AI is an intuitive assistant that enhances productivity, making tasks faster and easier.
It provides lightning-fast responses, keeping users focused and moving forward.
OCEON AI is not just smart but also intuitively helpful, understanding needs and suggesting solutions in advance.
With OCEON AI as a personal mentor available 24/7, users can get instant explanations and simplify various tasks.

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25 Likes

Medium

227

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Libraries to Design Patterns: My Journey Building LLM Agent Systems (Part 1)

LLM agent libraries have been a topic of discussion regarding their usefulness and necessity.
The author shares their perspective on developing agent systems and their experience with LLM application development.
The author initially used LangChain but found it to be complex and unnecessary for many projects, preferring to rely on clean Python code.
The author discovered the Strategy Design Pattern as an alternative approach to LLM agent development, leading to cleaner and more maintainable code.

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13 Likes

Dev

187

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Don't Let Automation Replace Good Testing Behaviors

Maintaining good testing habits is crucial in highly automated environments.
Slow, expensive tests and selective test execution contribute to frequent failing tests.
Prioritize the continuous TDD cycle, optimize test speed, and shorten feedback loops.
Embrace manual exploration and ensure automation enhances value without increasing development overhead.

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11 Likes

Medium

405

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How to Connect PostgreSQL with Python

To connect PostgreSQL with Python, you need to install the psycopg2 library.
Once installed, you can use the following Python code to establish a connection with the database.
After connecting to the database, you can retrieve the cursor to traverse the records.
To retrieve data, you can execute SQL queries and use fetchall(), fetchone(), or fetchmany() methods.

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24 Likes

Medium

414

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Robot Teachers & Hologram Tutors

Robot teachers use artificial intelligence to adapt lessons to students' pace, while holograms provide 3D experiences of abstract ideas.
AI in education is enhancing learning experiences rather than replacing human teachers, creating personalized and interactive learning environments.
Machine learning customizes lessons to fit individual needs and adjusts homework based on progress, making online learning more engaging.
AI tools in schools monitor student engagement, offer tailored hints, and combine virtual reality with hands-on activities for group projects.
Robot teachers analyze student reactions and adjust teaching methods accordingly to enhance learning effectiveness.
Studies show that students respond positively to robots in education, with robots being able to notice and address students' struggles more effectively than humans.
Holographic technology in education allows for interactive learning experiences, such as exploring anatomy in medical schools and testing designs in engineering.
Deep learning algorithms in adaptive curriculum analyze student data to tailor coursework, providing personalized learning experiences and predicting challenges.
Machine learning raises concerns about data privacy and fairness in education, prompting the need for solutions to ensure equal opportunities for all students.
Companies offer AI courses and certifications to equip individuals with skills for AI-related roles in education, such as AI Curriculum Designer or EdTech Specialist.
The future of education involves a collaboration between AI tools and human curiosity, where students develop skills in analyzing algorithms and problem-solving.

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24 Likes

Medium

423

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Scverse Hackathon: Iterating

The author participated in the Owkin X Scverse Hackathon focused on spatial transcriptomics.
They identified a bottleneck in the spatial statistics co_occurrence() and proposed to optimize it using C++/Rust.
They successfully implemented a new algorithm and reduced the memory footprint.
Ultimately, they dropped the Rust version and initiated a PR with a Python implementation for easier distribution.

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