[April 2025] Python Monthly Newsletter 🐍

Welcome to the 65th issue of Python Monthly!

If it’s your first time here, welcome, I like you already. If you want the full back story on this monthly newsletter, head here.

The quick version: I curate and share the most important Python articles, news, resources, podcasts, and videos.

Think the Pareto Principle (80/20 rule) meeting the Python world. I give you the 20% that will get you 80% of the results.

If you're a long time reader, welcome back old friend.

Alright, let's not waste any valuable time and jump right into this month's updates.

Here's what you missed in April 2025 as a Python Developer…

Understanding Generator 🔋

At their core, generator functions appear similar to regular functions but behave quite differently. The defining characteristic is the yield statement, which fundamentally alters the function’s execution model. What they are perfect for is to optimize your Python code and make it more efficient.

Here is how to make it all work.

Weekend Project Idea 🧰

This weekend, learn to use Steamlit. Streamlit is an open-source Python library that makes it easy to create and share custom web apps for machine learning and data science.

Use this tutorial to learn about Streamlit, how to install it, and get it set up to build a simple app.

Underground Python 🕳

Imagine if your Python script could cover its tracks after execution, silently capture vital screen information, or even modify its own code to stay one step ahead of detection.

Welcome to the world of underground Python scripts—where creativity meets practical problem solving.

This article will walk you through 10 mind-blowing Python hacks.

Python's New t-strings 🪀

Template strings, also known as t-strings, have been officially accepted as a feature in Python 3.14, which will ship in late 2025. This is a feature I'm really excited about since it's going to make our lives much easier when working with strings.

Here is all the juicy gossip.

Stop Writing __init__ Methods 🪚

Before dataclasses were added to Python in version 3.7 — in June of 2018 — the __init__ special method had an important use.... however do we still need it?

This article makes a great point.

Everything About enum 🏹

The standard library module enum is used to create enumerations, objects that make it convenient to work with groups of related constant values. Here is a great tutorial on everything you need to know about this module.

The Best Programmers I Know 🎖

This is an excellent read that you shouldn't miss. Here are the great qualities of a programmer. It's easy to know these but can you actually practice them in your day-to-day work?

Google's Big Announcement for Fullstack 🪂

This is pretty big news from Google into the space that is really hot right now: AI coding environments. They are entering the race with the new Firebase Studio.

As a full stack AI workspace, Firebase Studio, tries to accelerates your entire development lifecycle with AI agents (build backends, front ends, and mobile apps, all in one place). Definitely give this a try this month.

News Around the World 🗺

• Spain and Portugal had a major power outage that lasted for many hours on the entire peninsula. Here is a good engineering discussion around this.

Big Tech News aka AI News 🏢

• OpenAI had some big announcements. First, a new series of GPT models featuring major improvements on coding, instruction following, and long context—plus the first-ever nano model in the 4.1 in the API. Second, they want to build a social network (prediction: it ain't gonna work). Third, and my favourite, they introduced Sycophancy in GPT-4o... ha ha.

• Google is making waves with Gemini 2.5 (see last month's newsletter), and many people are saying Google is now in the lead in the AI race. This month they announced Gemini 2.5 Flash. "Gemini 2.5 Flash is our first fully hybrid reasoning model, giving developers the ability to turn thinking on or off. The model also allows developers to set thinking budgets to find the right tradeoff between quality, cost, and latency. Even with thinking off, developers can maintain the fast speeds of 2.0 Flash, and improve performance." They also announced Gemma 3 QAT Models which can run on your local GPU.

Some comments from users:

Gemini 2.5 Pro is so much of a step up (IME) that I've become sold on Google's models in general. It not only is smarter than me on most of the subjects I engage with it, it also isn't completely obsequious. The model pushes back on me rather than contorting itself to find a way to agree.

100% of my casual AI usage is now in Gemini and I look forward to asking it questions on deep topics because it consistently provides me with insight. I am building new tools with the mind to optimize my usage to increase it's value to me.

• Anthropic's Claude (my favourite LLM) Code release this post which covers tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments.

• Alibaba released Qwen 3 and the benchmarks are looking very good.

Completely useless to your career but still great 🙃

• Watch TV from around the world. Bonus for being a cool website.

• Garfield without Garfield.

Best Resource of the Month 🥽

Senior Developer Skills in the AI Age: Leveraging Experience for Better Results.

This is a great read to keep up with the AI trend (is anyone talking about anything else other than AI lately!?). The article describes well-suited real-life Coding Assistant use cases, and explains in detail the supporting practices that result in successful AI coding sessions.

By providing well-structured requirements, implementing appropriate guard rails through tools that the AI agent can use, and by using file-based “keyframing”, it is possible to harness the power of AI while maintaining code quality and architectural integrity.

This is a great thread for you to read and understand the current value of LLMs instead of reading another sensational AI blog post or another youtube video from that famous YouTuber with no experience.

To be honest, this was the best resource of the month, but this is a tech newsletter so it would have been very confusing to you if I just had this.

Trick of the Month 🎩

• GPIO lets you run Python directly on your hardware.
• This is super cool... Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI

See you next month everyone... also share this with your friends... pretty please! ❤️

By the way, I teach people how to code and get hired in the most efficient way possible as an Instructor at the Zero To Mastery Academy. You can see a few of our courses below or see all ZTM courses here.