Python Snacks

Reading and writing files is one of the most fundamental parts of programming. This week's newsletter was dedicated to showing you how to do this not only through the standard library, but with pandas, polars, pyyaml, and json libraries: https://lnkd.in/gm-BfRAZ

2025 was a fantastic year for Python Snacks. We began investing in ourselves in the latter part of the year and this investment has given us clear direction moving forward. The newsletter was our primary focus this year, and the results speak for themselves. Over the course of the latter part of 2025, the newsletter saw: - A 312% increase in subscribers - An average of 47% open rate - An average of 5-6% CTR - An average of 2-3% sponsorship CTR This momentum exceeded beyond the newsletter; we also launched our first digital product. Early feedback from users has been extremely positive, and are actively iterating upon this product to make it even better. Looking ahead to 2026, we're taking multiple approaches to make Python Snacks a better resource for Python developers. We're going to focus on what works and scale with intention. Here's a sneak peek as to what's coming: 1. We're expanding our social media presence to deliver more content to your fingertips; follow us on Facebook, Threads, Twitter/X, and on here if you haven't yet! 2. We've refined our approach to sponsorships; we're looking for companies/founders/businesses that provide solutions to help developers make their jobs easier or to teach them something new. We're excited to have you along the way for the journey. Here's to a strong 2026!

After 10 Years of Using Python, Here's What I've Learned - I wish I would've told my younger self these things as a "heads up, here's what's coming". https://lnkd.in/eP8eCjsw

Understanding Python's Pandas Pivot Tables - The one line solution to understanding your data easily. https://lnkd.in/eqMTJADb

Using requirements.txt for your uv build - Don't have a pyproject.toml but you have a requirements.txt file? No problem, uv can handle that! https://lnkd.in/emR3JUwj

Virtual Environments In Your Python Code using uv - Never create a virtual environment again using this really unique feature using the uv package https://lnkd.in/ege9_sNx

The 4 Python Comprehensions You Should Know - Your go-to guide that will cover all you need to know about comprehensions https://lnkd.in/eGqBWsUr

Using Pre-commit Hooks for your Python Project - Keep your code clean, consistent, and manageable with your team members. https://lnkd.in/e9FvZwzv

The Basics of Python Packaging - Leveraging Python packaging to make your code reusable and accessible https://lnkd.in/e5WmbJMb

Shallow copies vs deep copies in Python - Here's how you go about copying data structures in your Python code. https://lnkd.in/eq7xzbCD