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Websockets on FastAPI: Implementing a simple chat with rooms in 20 minutes

The article outlines a future detailed analysis on developing an anonymous chat in Telegram MiniApp format using FastAPI, WebSocket, Redis, PostgreSQL, Vue 3, and Telegram Mini Apps API for instant messaging and real-time communication.
It discusses monetization strategies like advertising, considering RichAds as an advertising platform for the MiniApp project.
The article focuses on understanding web sockets, their operation principles, and WebSocket's advantages in real-time messaging.
It compares classic HTTP and WebSocket methods, emphasizing WebSocket's benefits like persistent connection, fast operation, two-way communication, and resource-saving capabilities.
The article then delves into implementing a chat using WebSocket on FastAPI, creating a simple chat application that allows users to create rooms, join existing rooms, and exchange messages in real-time.
The tech stack utilized includes Python, FastAPI, WebSocket, JavaScript, TailwindCSS, HTML, Jinja2, and deployment on Amverum Cloud.
It covers the development stages of the project: server part development with WebSocket connection management, creating WebSocket endpoint, client part implementation with HTML pages rendering, and dynamic interface updates using JavaScript.
Detailed steps are provided for setting up WebSocket connections, handling events like connection establishment, disconnection, receiving and sending messages in real time.
The article continues with final configurations, launching the application using uvicorn, and explains how to deploy the project on Amverum Cloud with configuration settings.
It concludes by discussing how to rewrite the WebSocket connection string for deployment on Amverum Cloud and provides a link to view the working code.
The article encourages engaging with the author's Telegram channel for additional content and hints at a future article analyzing the development of a Telegram bot with MiniApp for an anonymous chat.

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Fueled

196

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Why Top Companies Invest in Strategic Workshops

Strategic, concentrated in-person workshops during critical project phases can accelerate timelines, deepen alignment, and surface crucial insights.
Workshops break down silos, facilitate cross-disciplinary collaboration, and foster idea cross-pollination.
Workshops reveal unspoken realities within organizations and create a space for addressing underlying concerns that written documentation may miss.
Workshops create collective ownership, compress decision cycles, build trust through vulnerability, integrate diverse thinking styles, and require clear purpose and skilled facilitation for effectiveness.

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Javacodegeeks

369

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Using the OpenAI API with Java

OpenAI's Java client simplifies integrating AI into Java applications, allowing developers to leverage powerful models like GPT-4 and GPT-3.5.
OpenAI develops advanced AI models such as ChatGPT, Codex, and DALL·E, focusing on safe and beneficial AI technologies.
To access OpenAI's APIs programmatically, developers need an API token, which should be securely stored and not exposed publicly.
The Java OpenAI SDK offers functionalities for text completions, chat interactions, assistants, and more.
Code example demonstrates how to initialize OpenAI client, make completion requests, chat interactions, and assistant-driven conversations.
The program includes exception handling for potential runtime errors and showcases different interaction types with OpenAI's APIs.
Various dependencies and Maven configurations are necessary to use the OpenAI Java SDK in Java applications.
Developers can create AI-driven applications easily with features like completions and assistants provided by the OpenAI Java SDK.
The Java OpenAI SDK enables building both simple and complex AI-driven applications efficiently.
It is essential to handle exceptions, consider rate limits, and secure API tokens properly when deploying AI applications using the OpenAI Java SDK.

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Medium

321

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Avoiding the Most Common Mistakes in Data Analysis for Business Reports

Building a business report can be exciting and scary, and it is crucial to ensure solid analysis to avoid misunderstandings.
One of the most common mistakes in data analysis is not knowing the question you are answering, which can lead to producing the wrong answer.
To avoid this mistake, it is important to ask relevant questions before conducting the analysis, such as what decision the report will support and which metric matters the most.
Another common mistake is using incorrect data sources, like pulling data from a test table instead of the production one, which can result in inaccurate conclusions.

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Medium

427

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How to Learn Machine Learning Online: Beginner’s Guide

Machine learning has become a fundamental skill with vast opportunities for developers, analysts, and students.
Learning machine learning through practical building boosts confidence and project contributions.
Starting with Python, dedicating time to mastering it before diving into ML is crucial for a strong foundation.
Simulating math concepts practically via Python coding rather than rote memorization aids comprehension.
Building projects like a Loan Default Prediction model and Customer Churn Predictor enhance practical ML understanding.
Data preparation through feature engineering is emphasized over model optimization for improved model performance.
Real-world projects like House Price Predictor and Customer Sentiment Analyzer demonstrate end-to-end ML lifecycle understanding.
Consistency in learning is highly encouraged, emphasizing project-based learning, problem-solving, and application.
Challenges like doubt, tutorial fatigue, lack of mentorship, and project paralysis can be mitigated through structured planning and consistent effort.
Sharing projects on GitHub, maintaining a strong LinkedIn presence, writing mini-blogs, and contributing to discussions aid visibility and networking.
A structured, project-based approach, with consistent effort over time, is key to success in learning machine learning.

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Dev

173

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Building Clean Data Pipelines in Angular - Performance Best Practices

Learn how to optimize Angular application performance by implementing clean data pipelines for efficient data handling.
By using techniques like the repository pattern, RxJS operators, Angular pipes, and Signals API, you can improve performance and maintainability.
Common data handling challenges in Angular applications include inefficient data flow, performance issues, and bloated components.
Implementing the repository pattern helps centralize data access logic, separate concerns, and improve testability in Angular projects.
RxJS pipelines offer elegant solutions for filtering, sorting, and pagination, enhancing data stream management in Angular applications.
Using Angular pipes for data transformation leads to a 40% rendering speed increase, keeping components lightweight and focused on presentation.
Signals represent a modern alternative to RxJS and pipes, offering better performance characteristics and simplified reactive state management.
Key benefits of signal-based transformations include fine-grained reactivity, reduced memory footprint, and simplified debugging.
Performance metrics show up to 40% faster rendering, 65% less component code, and 90% fewer change detection cycles using optimized data pipelines.
Angular's evolution in data pipeline handling progresses from traditional services to repositories, RxJS, pipes, and now Signals for cleaner and more efficient applications.

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10 Likes

Dev

438

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Why Java Remains the King of Enterprise Development in 2025

Java remains the dominant programming language for enterprise development, thanks to its platform independence, strong memory management, and robust ecosystem.
Recent Java versions have introduced features like records, text blocks, and performance improvements to meet modern development needs.
Java has adapted well to cloud-native development with frameworks like Spring Boot and tools like GraalVM Native Images for serverless environments.
Java's continuous evolution with a predictable release cycle and upcoming projects like Valhalla ensures its relevance in the ever-changing software development landscape.

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26 Likes

Medium

397

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Stop Learning New Programming Languages (The Shocking Reason They Won’t Help Your Career)

Learning new programming languages may not accelerate careers as expected.
Obsession with learning new languages can distract from skills that drive promotions and opportunities.
Experience shows that focusing on particular skills rather than new languages leads to career advancement.
Story highlighting the distraction learning new languages can bring in comparison to skills that matter for career progression.

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23 Likes

Medium

102

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B_u_y Wise Business Account: The Ultimate Guide to Secure and Verified Accounts

BestPVAMarket is a trusted platform to buy verified Wise accounts with ease and confidence.
Having a verified Wise account is crucial for accessing the full potential of Wise, offering low fees, real exchange rates, and fast transfers.
BestPVAMarket simplifies the process of buying a verified Wise account, offering secure payment options and providing fully verified accounts ready for use.
A verified Wise account from BestPVAMarket ensures legitimacy, security, and instant access to the benefits of international transactions.

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6 Likes

Javacodegeeks

205

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Secure Inter-Service Communication in Java Microservices with mTLS

Securing communication between microservices is crucial in modern architectures to protect data and maintain trust boundaries.
Mutual TLS (mTLS) authentication ensures only authorized services can communicate by verifying identities and encrypting data.
Steps involve generating certificates, configuring Spring Cloud Gateway, enabling mTLS in microservices, and deploying to Kubernetes.
Best practices include regular certificate rotation, dedicated CA usage, monitoring TLS handshake failures, and keeping truststores updated.

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12 Likes

Medium

401

AEON AI Payment Goes Live in Solana Agent Kit: Ushering in the Era of Autonomous AI-Native Commerce

AEON's integration into the Solana Agent Kit enables AI agents to interpret and act on blockchain data independently, allowing them to make decisions and complete transactions autonomously.
With AEON's AI-native infrastructure, agents can purchase goods, subscribe to services, manage renewals, pay for utilities, and access features on their own, without human intervention.
The integration of AEON into the Solana Agent Kit empowers developers to create Solana-compatible AI agents capable of initiating and completing real-world commerce payments independently.
This advancement marks the beginning of a world where AI agents play a significant role in economic activities, making autonomous commerce a present-day reality rather than a futuristic concept.

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24 Likes

Medium

378

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1Z0–830 Sample Questions for Java SE 21 Developer Certification Exam (with Resources)

The article provides sample questions for the 1Z0–830 exam or Java 21 certification exam and offers a discount coupon for a related Udemy course.
Java 21 Certification Exam (1Z0–830) is considered challenging with long, intricate questions and multiple options.
The exam duration has been extended to 120 minutes for 50 questions, requiring candidates to solve questions efficiently.
It is crucial to practice sample questions and take mock tests to enhance speed and accuracy in preparation for the exam.
The Udemy course '1Z0–830 Java SE 21 Developer Professional Exam Practice Test' contains over 266 questions related to the certification.
Sample questions from the article involve coding scenarios and multiple-choice queries to test Java knowledge.
Readers are encouraged to attempt the sample questions provided in the article and can avail the course at a discounted price using a coupon code.
The article emphasizes the importance of first-time success in the Java certification exam due to its cost and difficulty level.
The author offers insights into preparing for Java SE 17 certification as well and recommends relevant Udemy resources for exam readiness.
To access additional Java 21 exam-related articles and resources, readers are directed to explore further content shared by the author.

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22 Likes

Medium

213

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Hexagonal Architecture for Backend Development In the age of AI

Hexagonal Architecture (aka Ports and Adapters) is crucial in backend development for building systems that can evolve without tangles or breaking their core.
It ensures clear separation between domain, ports, and adapters, allowing for modular and adaptable systems.
The domain contains core business logic isolated from infrastructure concerns, ports define interactions with the outside world, and adapters implement infrastructure-side logic.
Hexagonal Architecture in CodeAssist ensures scalability, maintainability, and flexibility, leading to faster tests, reliable pipelines, and smoother development processes.

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12 Likes

Medium

365

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How I Would Approach LeetCode If I Were Starting Over

Mastering algorithms through platforms like LeetCode can lead to high-paying opportunities or openings at elite tech companies.
Approaching LeetCode the right way involves mastering foundational concepts before tackling complex problems.
Focus on core algorithms such as binary search, DFS, BFS, sliding window, and practice them until they become second nature.
Create structured practice schedules, repeat problems, and maintain curiosity to consistently improve your skills.

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21 Likes

Dev

138

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A brief introduction to V1 and V2 decorators in HarmonyOS development

In HarmonyOS development, V1 and V2 decorators are used for defining component behaviors and data flow.
V1 Decorator includes @State for managing component states, @prop for parent-child data transmission, and @link for two-way communication.
V1 also features @ObjectLink/@Observed/@Track for partial UI refresh and @Provide/@Consume for one-way value transfer.
V2 Decorator includes @local which is equivalent to @State, @param for data transfer, and @Require for mandatory passing.
V2 introduces @Monitor for deep monitoring, supporting changes in nested classes and arrays.
@Event, @Watch, and @Monitor are used for implementing communication between parent and child components.
AppStorage in V2 allows for multiple AppStorages with @ObservedV2 for detailed monitoring capabilities.
Custom component mixing in V1 and V2 decorators has limitations on variable transfer and usage.
Migration from V1 to V2 decorators in HarmonyOS development involves using appropriate decorators and handling data compatibility.
Developers should follow guidelines for proper implementation and transition between V1 and V2 decorators.

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