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Python

Artificial Intelligence tutorial - IT technology blog
Posted inAI

Building Multi-Agent AI Systems with CrewAI: Assigning and Orchestrating Multiple AI Agents in Python

Posted by By admin March 18, 2026
Solving complex software development tasks often requires diverse skills. CrewAI offers a powerful solution for creating and managing specialized AI agents, allowing them to work together as a professional team, automate workflows, and significantly enhance performance.
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Artificial Intelligence tutorial - IT technology blog
Posted inAI

Guide to Using Claude API (Anthropic) with Python to Build AI Applications

Posted by By admin March 17, 2026
This article provides a detailed guide on using the Claude API (Anthropic) with Python to build AI applications. From Quick Start to advanced techniques, it helps beginners easily integrate and develop intelligent applications.
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Development tutorial - IT technology blog
Posted inDevelopment

Build an Auto-Deploy Webhook: No More SSH at 2 AM

Posted by By admin March 16, 2026
A practical guide to building a Python Flask webhook server that automatically deploys when you push code to GitHub. From writing the script and configuring systemd to connecting with GitHub Webhooks — set it up once, use it forever.
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Python tutorial - IT technology blog
Posted inPython

Processing CSV and Excel Files with Python pandas: Comparing Approaches and Practical Implementation Guide

Posted by By admin March 16, 2026
Compare three approaches for handling CSV and Excel files with Python: the csv module, pandas, and openpyxl — analyzing trade-offs and guidance on choosing the right tool for each scenario, with real-world examples from an automation project.
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Artificial Intelligence tutorial - IT technology blog
Posted inAI

Building a Simple Chatbot with Python and LLM: Comparing Approaches and a Practical Guide

Posted by By admin March 15, 2026
Compare three chatbot-building approaches — rule-based, traditional ML, and LLM — to pick the right architecture for your use case. A practical guide to building a Python chatbot with Claude API: single-turn, multi-turn with conversation history, token limits, and production error handling.
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Artificial Intelligence tutorial - IT technology blog
Posted inAI

How to Use Google Gemini API with Python: Efficient Implementation from Basics to Production

Posted by By admin March 14, 2026
Discover how to integrate the Google Gemini API with Python, from basic to advanced. This article provides detailed guides, practical code examples, and effective production deployment insights.
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Artificial Intelligence tutorial - IT technology blog
Posted inAI

Building a Multi-Platform AI Chatbot: Integrating Telegram, Slack, and Discord

Posted by By admin March 13, 2026
This article guides you through building a multi-platform AI chatbot, seamlessly integrating with Telegram, Slack, and Discord using Python. You'll learn about modular architecture, platform configuration, and practical deployment for an intelligent, time-saving, and performance-optimized chatbot.
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Python tutorial - IT technology blog
Posted inPython

Python requests Tutorial for API Calls: From Basic to Advanced

Posted by By admin March 11, 2026
A detailed guide on using the Python requests library for API communication. Covers basic GET, POST requests, JSON handling, authentication, and performance optimization tips from experience with large datasets.
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Python tutorial - IT technology blog
Posted inPython

Comprehensive Guide to venv: Efficiently Managing Python Virtual Environments for Every Project

Posted by By admin March 11, 2026
Are your Python projects facing library conflicts? venv is a simple yet powerful solution for creating independent virtual environments. This article guides you on using venv for professional Python project management.
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Artificial Intelligence tutorial - IT technology blog
Posted inAI

Qdrant Installation and Usage Guide: A Powerful Vector Database for AI and RAG Applications

Posted by By admin March 10, 2026
This article provides a detailed guide on how to install and use Qdrant, a powerful vector database, to build effective AI and RAG applications. I share practical experience after more than 6 months of deploying Qdrant in a production environment, analyzing its pros and cons, and providing sample Python code to help you get started immediately.
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