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📚 Tools

Setting Up Your Environment: Python, pip, and VS Code

Before writing code locally, you need to set up three tools: Python, pip, and VS...

🏷️ Tools
👁️ 17 views
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📚 LLM & AI

Anthropic SDK: Getting Started with the Claude API

Anthropic Python SDK is the official library for working with Claude. It hides the complexity...

🏷️ LLM & AI
👁️ 18 views
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📚 LLM & AI

Streaming LLM Responses: Getting the Answer Piece by Piece

By default, messages.create() waits until the model has fully generated its response before returning anything....

🏷️ LLM & AI
👁️ 19 views
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📚 LLM & AI

uv: The Modern Python Package Manager

uv is a next-generation tool for managing Python dependencies. Written in Rust by Astral, it...

🏷️ LLM & AI
👁️ 17 views
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📚 LLM & AI

System Prompts: Defining the Model's Role

A system prompt is a hidden instruction for the model set by the developer. The...

🏷️ LLM & AI
👁️ 15 views
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📚 LLM & AI

environs: Typed Environment Variables

environs is a library for reading environment variables from a .env file with type support....

🏷️ LLM & AI
👁️ 19 views
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📚 LLM & AI

rich: Beautiful Terminal Output

rich is a Python library for formatted terminal output. Colors, tables, panels, markdown, progress bars,...

🏷️ LLM & AI
👁️ 16 views
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📚 LLM & AI

Tokens in LLMs: How the Model Sees Text

When you send a request to a language model, it doesn't see words or letters....

🏷️ LLM & AI
👁️ 17 views
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📚 Python

The datetime Module: Working with Dates and Times

datetime is Python's standard module for working with dates and times. It's part of the...

🏷️ Python
👁️ 67 views
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📚 Python

.env Files and Environment Variables: Keeping Secrets Out of Code

Imagine you wrote a program with an API key hardcoded in the source and pushed...

🏷️ Python
👁️ 76 views
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📚 Python

Python Virtual Environments: Why and How

When you start a second Python project and run pip install requests — that library...

🏷️ Python
👁️ 66 views
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📚 Python

argparse: Command-Line Arguments in Python

When a script grows from a toy into a real tool, input() becomes inconvenient. Professional...

🏷️ Python
👁️ 60 views
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