Python in Plain English

“Python in Plain English” is a diverse source covering topics ranging from Python programming speed considerations to AI applications like Langchain’s short-term memory in Postgres databases. The content delves into the practical aspects of Python, such as data augmentation for machine learning and the use of Python scripts in daily routines. Additionally, the source explores the intersection of Python with emerging technologies like Web3, blockchain, and smart contracts. With a focus on real-world applications and practical Python tips, “Python in Plain English” offers a comprehensive guide for both beginners and experienced Python developers.

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Building an AI Research Agent from Scratch in Python with LangChain

This pattern, LLM + structured output + tools + prompt, is the core of most production agents built with LangChain today. Continue reading on Python in Plain English

Why RAG Systems Still Give Wrong Answers, and Where to Look First

Python in Plain English

Image credit: Original cover graphic created by the author, Anna Parker Retrieval augmented generation, usually shortened to RAG, is often sold as the fix for made up answers. The model looks up docum...

Python Automation 2026 — Part 2: Automating Files, Folders, and Everyday Tasks with Python

Python in Plain English

Part 2 of Python Automation 2026 — From Scripts to Intelligent Workflows Part 2 of Python Automation 2026 — From Scripts to Intelligent Workflows Imagine starting your working day and discovering that...

Your AI Agent Says It Completed the Task. How Do You Know It Actually Did?

Python in Plain English

An AI agent can give a convincing answer while making the wrong decision, calling the wrong tool, or failing to complete the task. Here’s… Continue reading on Python in Plain English

The Easiest Way to Build a Powerful Python Chatbot Without Learning Frontend Development

Python in Plain English

Streamlit gives you the interface, Gemini handles the conversation, and Python gives your chatbot the ability to perform real tasks. Continue reading on Python in Plain English

The Python Habits I Wish Someone Had Forced Me to Learn on Day One

Python in Plain English

Four years, countless bugs, and the patterns that finally made my code feel like it belonged in production Continue reading on Python in Plain English

I Built 6 AI Tools in a Year — Here’s Everything That Actually Worked

Python in Plain English

A brutally honest account of the prototypes, the production breakages, and the lessons that only showed up after things went wrong Continue reading on Python in Plain English

Day #1 of Learning Python for Machine Learning and Data Science

Python in Plain English

Getting Started with Python Continue reading on Python in Plain English

Python Data Structures That Make Your Code More Efficient

Python in Plain English

When I began coding in Python, I relied on lists to handle anything I needed to do. Want to store information regarding customers? List… Continue reading on Python in Plain English

Stop Making These 12 Mistakes in Python Data Analysis

Python in Plain English

Learn how to catch misleading averages, duplicate records, hidden nulls, broken joins, data leakage, and visualizations that lead to the… Continue reading on Python in Plain English

10 MCP Servers Every Local AI Developer Should Know

Python in Plain English

From running local LLMs to building persistent AI memory, these MCP servers can make your local AI setup much more capable. Continue reading on Python in Plain English

10 More Insanely Useful AI Tools You Should Know

Python in Plain English

10 underrated AI tools that can save you time, simplify everyday tasks, and help you do things you probably didn’t know were possible. Continue reading on Python in Plain English