Python for Microbiologists: Relevant Training Coming Soon

🐍📺 In this video course, you'll learn how to use the pathlib module to carry out file path operations with Python. These operations include creating, iterating over, searching for, moving, and deleting files and folders #python

💡 Is Python Interpreted or Compiled? 🤔 When I first learned Python, I thought: 👉 “Python is an interpreted language.” But later I realized… 👉 It’s actually both. Here’s what really happens behind the scenes 👇 1️⃣ You write Python code (.py) 2️⃣ Python compiles it into bytecode (.pyc) 3️⃣ This bytecode is executed by the Python Virtual Machine (PVM) 👉 That’s why Python feels like an interpreted language 👉 But internally, compilation is also happening 💡 In short: Python = Compiled + Interpreted Why does this matter? ✔ Platform independent ✔ Easier debugging ✔ Slower than fully compiled languages (like C) This small detail completely changed how I understand Python ⚡ Did you know this before? 👇 #Python #Programming #Coding #TechConcepts #LearnInPublic

✅ Attempted the Python Mock Test today. Smooth experience and strong conceptual questions. Mock tests helps to identify weak areas and improve faster. Highly useful for learners!

🐍 Python Basics: A Practical Introduction to Python 3 — Now in Paperback format 📖 “I floundered for a long time trying to teach myself. I gave up on countless crufty books from big-time publishers. Then I found Real Python.” — Jared Nielsen, Pythonista https://lnkd.in/dcciKSu

🚀 Day 46 of My Learning Journey Today I explored one of Python’s most powerful functions — eval(). 💡 What is eval()? It is a built-in Python function that evaluates a string as a Python expression and executes it. 🔍 Example: 👉 eval("9 + 5") → 14 👉 If x = 2, then eval("x + 3") → 5 ✨ What I learned: ✔️ eval() can execute expressions stored as strings ✔️ It can access variables, functions, and even built-in methods ✔️ Useful for dynamic calculations and quick evaluations ⚠️ Important Note: eval() should be used carefully because it can execute any code, which may lead to security risks if used with untrusted input. 🎯 Mini Task Solved: Took user input as a string and executed it using eval() — simple yet powerful! 📌 Key Takeaway: “Just because something is powerful doesn’t mean it should be used everywhere.” #Day46 #Python #CodingJourney #LearnToCode #100DaysOfCode #PythonProgramming #TechSkills

🚨 90% of people start Python… and quit halfway. Not because it’s hard. Because they follow random tutorials with no structure. So I found something better. A clean, no-BS Python PDF → crystal-clear fundamentals → real examples → notes that actually stick This is not another “save for later” resource. This is the one you actually finish. If you’re serious about learning Python in 2026… 👉 Follow Suryansh Tiwari for more no-fluff resources like this 👉 Save this before you lose it

The most misunderstood line of code in Python🛑 if __name__ == "__main__" Most beginners copy-paste this without knowing what it actually does. If you've ever imported a file and had your entire script execute unexpectedly—this is why. In this 2-minute breakdown, I explain: ✅ What __name__ actually stores. ✅ Why your code runs differently when imported vs. executed. ✅ How to structure your scripts like a Senior Dev. Master the most misunderstood line in Python here: https://lnkd.in/e5gEGpYq #python #codingtips #backend #microlearn #pythonifnamemain

🐍📺 In this video course, you'll learn Python's namedtuple and how to use it in your code. You'll also learn about the main differences between named tuples and other data structures, such as dictionaries, data classes, and typed named tuples #python

🐍📰 Why You Should Attend a Python Conference Attending a Python conference can grow your network, skills, and confidence. Follow this guide to take your first steps toward joining a Python event #python

As someone already working in AI & Data Science… If you’re starting with Python, don’t overcomplicate it. Most people get stuck not because Python is hard, but because they keep jumping between random tutorials. The real path is simple: Basic Python → Practice → Small projects → Consistency