Meet Ned Batchelder on coverage.py and Open Source Testing

📘 Day 15 of my #90DaysPythonChallenge Topic: Recursion Today, I explored recursion in Python and learned how functions can call themselves to solve problems step by step. 🔹 Practiced recursive functions 🔹 Worked on factorial, sum of numbers, and Fibonacci 🔹 Understood the importance of base cases Recursion helped me think differently about problem-solving and breaking problems into smaller parts. 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #LearningInPublic #CodingJourney #Recursion

We have another in-depth, step-by-step tutorial from Brad Hudson 💡. This thorough walkthrough will get you set up and ready to send high-volume, reliable transactional emails from your server-side Python application. Learn more from Brad here > https://intuit.me/46cHFaY

Building the future of Python is a community effort! Nathan Goldbaum shares the story behind reaching 50% free-threaded wheel support across PyPI's most-downloaded packages. This milestone covers everything from low-level C extension porting to pure-Python test coverage, and it shows what's possible when a community moves together. Whether you're a maintainer, contributor, or curious developer, there's a role for you in the next 50%. See how you can help in our latest blog 🔗 https://lnkd.in/dnsfUvh2 #Python #FreethreadedPython #OpenSource #PyPI #Quansight #PythonCommunity

📺 Now Available OnDemand: Inside the New SEC573 with Mark Baggett See how the updated course uses Python, LLMs, and MCP to help defenders build smarter tools faster. Watch the replay and get inspired to start automating. 🔗 https://go.sans.org/OkqVCi #OnDemand #SEC573 #CyberDefense #SecurityAutomation #Python #LLM

BREAKING NEWS: I’m thrilled to announce that all attendees of SEC573 AI-Powered security automation: Building Tools with Python LLMs and MCP in Orlando on March 29th will now have access to OnDemand at no extra cost! This means you’ll have extended access to labs and bonus “section 7” material, which includes hours of content that won’t fit into the live class. Additionally, you’ll receive all the solutions to the bonus material. Were you already considering taking the course OnDemand? Why not combine it with a trip to Orlando and double the fun? If you register now using the registration code “Presale10,” you’ll receive a 10% discount. Alternatively, if you’ve already taken 573 and want to enhance your skills to include AI agent development, you can register and select “pay by check” to get a 50% discount. - OnDemand - Live lecture - Orlando Don’t forget to also get your GPYC certification! Still not convinced? Register to watch the lecture below for an overview is the content.

Mark Baggett is an excellent instructor, and I highly recommend checking out his SEC573 course if you're looking to improve your security automation skills!

LeetCode | Linked List Cycle 🔗 If fast and slow pointers collide, the list contains a cycle. 🔹 Approach: Fast & Slow Pointers (Floyd’s Algorithm) 🔹 Key idea: Two pointers meet if a cycle exists 🔹 Time Complexity: O(n) 🔹 Space Complexity: O(1) Daily DSA practice to strengthen problem-solving skills 🚀 #LeetCode #DSA #LinkedList #TwoPointers #Python #CodingJourney #LearningInPublic 

Have you asked your Claude Code to create a YT💩 video yet? "Can you use whatever resources you like, and python, to generate a short ‘youtube poop’ video and render it using ffmpeg? Can you put more of a personal spin on it? It should express what it’s like to be a LLM." Full writeup here: https://lnkd.in/eEuvqeBN

📌 Nested Loops in Python Building on my loop concepts, I practiced Nested Loops in Python. A nested loop means placing one loop inside another. The inner loop executes completely for every single iteration of the outer loop. In this example, I used two lists: • One containing properties • One containing fruits The program combines each property with every fruit, showing how nested loops help generate all possible pair combinations. Nested loops are useful when: • Working with multiple lists • Creating combinations • Handling rows and columns • Solving pattern-based problems Step by step, improving my logical thinking and Python fundamentals. 🚀 #Python #Programming #CodingJourney #LearningPython #DataAnalytics

A new 'Technically Speaking" episode is live! In this session, our teammate Matt explores what it means to mock responsibly. Using a simple Python application, he walks through different approaches to mocking, the trade-offs involved, and how mocks can unintentionally create false confidence in your tests. Want to know more? Watch the full video here: https://lnkd.in/gWnVwag5 #Testing #UnitTesting #Python