Running Local LLMs With Ollama and Connecting With Python

2026-02-13

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Would you like to learn how to work with LLMs locally on your own computer? How do you integrate your Python projects with a local model? Christopher Trudeau is back on the show this week with another batch of PyCoder’s Weekly articles and projects. We cover a recent Real Python step-by-step tutorial on installing local LLMs with Ollama and connecting them to Python. It begins by outlining the advantages this strategy offers, including reducing costs, improving privacy, and enabling offline-capable AI-powered apps. We talk through the steps of setting t...

We cover a recent Real Python step-by-step tutorial on installing local LLMs with Ollama and connecting them to Python. It begins by outlining the advantages this strategy offers, including reducing costs, improving privacy, and enabling offline-capable AI-powered apps. We talk through the steps of setting things up, generating text and code, and calling tools.

We also share other articles and projects from the Python community, including the 2026 Python Developers Survey, creating callable instances with Python’s .__call__(), creating maps and projections with GeoPandas, ending 15 years of subprocess polling, discussing backseat software, a retry library that classifies errors, and a peer-to-peer encrypted CLI chat project.

This episode is sponsored by Honeybadger.

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Topics:

00:00:00 – Introduction
00:02:37 – Take the Python Developers Survey 2026
00:03:07 – How to Integrate Local LLMs With Ollama and Python
00:08:15 – Sponsor: Honeybadger
00:09:01 – Create Callable Instances With Python’s .__call__()
00:12:13 – GeoPandas Basics: Maps, Projections, and Spatial Joins
00:16:03 – Ending 15 Years of subprocess Polling
00:18:57 – Video Course Spotlight
00:20:23 – Backseat Software – Mike Swanson
00:39:06 – cmd-chat: Peer-to-Peer Encrypted CLI Chat
00:41:58 – redress: A Retry Library That Classifies Errors
00:43:56 – Thanks and goodbye

News:

Take the Python Developers Survey 2026
The State of Python 2025: Trends and Survey Insights - The PyCharm Blog

Topics:

How to Integrate Local LLMs With Ollama and Python – Learn how to integrate your Python projects with local models (LLMs) using Ollama for enhanced privacy and cost efficiency.
Create Callable Instances With Python’s .__call__() – Learn about Python callables, including what “callable” means, how to use dunder call, and how to build callable objects with step-by-step examples.
GeoPandas Basics: Maps, Projections, and Spatial Joins – Dive into GeoPandas with this tutorial covering data loading, mapping, CRS concepts, projections, and spatial joins for intuitive analysis.
Ending 15 Years of subprocess Polling – Python’s standard library subprocess module relies on busy-loop polling to determine whether a process has completed yet. Modern operating systems have callback mechanisms to do this, and Python 3.15 will now take advantage of these.

Discussion: