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The Python Show: 52 - PyTorch and LLMs with Daniel Voigt Godoy

Link: https://www.pythonshow.com/p/52-pytorch-and-llms-with-daniel-voigt

In today’s podcast, we welcome Daniel Voigt Godoy to the show. Daniel is the author of Deep Learning with PyTorch Step-by-Step among other books.We chatted about the following topics:Favorite Python p
Steve Holden: I want to bang some heads together!

Link: http://holdenweb.blogspot.com/2025/01/i-want-toang-some-heads-together.html

 It's frustrating when useful tools refuse to work together nicely. In the past I've experienced conflicts between black and flake8 that made it impossible to commit via my default commit hooks. Now I
Seth Michael Larson: Quickly visualizing an SBOM document

Link: https://sethmlarson.dev/quickly-visualizing-sbom-with-cli?utm_campaign=rss

Have you ever had a Software Bill-of-Materials (SBOM) document
and just want to look at the dang thing? Preferably using CLI tools? SBOMs
tend to be quite large for non-trivial software projects, so
l
Django Weblog: Django 5.2 alpha 1 released

Link: https://www.djangoproject.com/weblog/2025/jan/16/django-52-alpha-1-released/

Django 5.2 alpha 1 is now available. It represents the first stage in the 5.2
release cycle and is an opportunity for you to try out the changes coming in
Django 5.2.
Django 5.2 brings a composite of
PyCharm: Anomaly Detection in Machine Learning Using Python

Link: https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-machine-learning/


In recent years, many of our applications have been driven by the high volume of data that we are able to collect and process. Some may refer to us being in the age of data. One of the essential aspe
PyBites: Creating a Fitness Tracker App with Python Reflex

Link: https://pybit.es/articles/fitness-tracker-app-with-python-reflex/

In this post, I will build a simple fitness tracker app using Python Reflex. Reflex is a Python library that allows you to create reactive applications using a functional and declarative approach. We
TestDriven.io: Database Indexing in Django

Link: https://testdriven.io/blog/django-db-indexing/

This article explores the basics of database indexing, its advantages and disadvantages, and how to apply it in a Django application.
Django Weblog: Hello from the new Steering Council; and a quick temporary voting process change

Link: https://www.djangoproject.com/weblog/2025/jan/16/hello-from-the-new-steering-council-and-a-quick-te/

Hello Django community! The Steering Council is officially in action and we want to give you a heads up on a change we're making for the short-term.
The process for formal Steering Council votes (docu
Real Python: The Real Python Podcast – Episode #235: Principles for Considering Your Python Tooling

Link: https://realpython.com/podcasts/rpp/235/

What are the principles you should consider when making decisions about which Python tools to use? What anti-patterns get in the way of making the right choices for your team? Christopher Trudeau is b
PyBites: Create Project-Less Python Utilities with uv and Inline Script Metadata

Link: https://pybit.es/articles/create-project-less-python-utilities-with-uv-and-inline-script-metadata/

The other day I wanted to demo the Google Books API (we use for Pybites Books) to somebody so I started to write some code on the fly to call its endpoints using httpx.Then I thought it would be nice
Kushal Das: Dealing with egl_bad_alloc error for webkit

Link: https://kushaldas.in/posts/dealing-with-egl-bad-alloc-error-for-webkit.html


I was trying out some Toga examples,
and for the webview I kept getting the following error and a blank screen.
Could not create EGL surfaceless context: EGL_BAD_ALLOC.

After many hours of searching
Matt Layman: Signin Email - Building SaaS #212.1

Link: https://www.mattlayman.com/videos/signin-email-building-saas-212/

In this episode, we continued on the sign up workflow simplification. The focus of this stream was on adding the background task that will send the magic link email to allow sign in.
Matt Layman: Building SaaS with Python and Django #212.2

Link: https://www.mattlayman.com/videos/building-saas-with-python-and-django-212/

In this episode, we continued on the sign up workflow simplification. The focus of this stream was on adding the background task that will send the magic link email to allow sign in. This is the secon
Real Python: Python's min() and max(): Find Smallest and Largest Values

Link: https://realpython.com/python-min-and-max/

Python’s built-in functions max() and min() allow you to find the largest and smallest values in a dataset. You can use them with iterables, such as lists or tuples, or a series of regular arguments.
Real Python: The subprocess Module: Wrapping Programs With Python

Link: https://realpython.com/python-subprocess/

Python’s subprocess module allows you to run shell commands and manage external processes directly from your Python code. By using subprocess, you can execute shell commands like ls or dir, launch app
Real Python: Get Started With Django: Build a Portfolio App

Link: https://realpython.com/get-started-with-django-1/

Django is a powerful Python web framework for creating complex applications. It follows the Model-View-Template (MVT) architecture and includes built-in features like authentication, an admin interfac
Real Python: NumPy's max() and maximum(): Find Extreme Values in Arrays

Link: https://realpython.com/numpy-max-maximum/

NumPy’s max() function efficiently finds maximum values within an array, making it a key tool for data analysis in Python. This tutorial guides you through using max() and maximum(), handling missing
Real Python: Understanding the Python Mock Object Library

Link: https://realpython.com/python-mock-library/

Mocking in Python with unittest.mock allows you to simulate complex logic or unpredictable dependencies, such as responses from external services. You create mock objects to replace real ones in your
Fabio Zadrozny: Using (or really misusing) Path.resolve() in Python

Link: http://pydev.blogspot.com/2025/01/using-or-really-misusing-pathresolve-in.html

 I just stumbled upon a code in Python that uses a simple `Path(...).resolve()`
after receiving a path in an API and suddenly reminded myself on the
many the bugs I've tripped over due to it, so, de
Real Python: pandas GroupBy: Your Guide to Grouping Data in Python

Link: https://realpython.com/pandas-groupby/

The pandas .groupby() method allows you to efficiently analyze and transform datasets when working with data in Python. With df.groupby(), you can split a DataFrame into groups based on column values,