Python 3 Basics: A Practical Introduction

🐍📺 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

🐍📺 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

Cheat sheet for python list...💡💡💡 📌 Python List Made Simple! 🐍 Learning Python? This guide shows how to use lists in a very easy way 👍 With this you can • Create a list • Pick items from it • Add or remove items • Sort and organize your list Everything is explained with simple examples so you can understand fast 💡 Start learning and practice a little every day — you’ll get better in no time! 🚀 Have you registered for our python class starting on May 4? Register now before the slot gets filled up on our website https://lnkd.in/ed4wgGev #Python #CodingMadeEasy #LearnPython

10000 Coders I thought Python was difficult 😓 Syntax, errors, logic… Everything confused me. But then I realized 👇 👉 Python is actually simple It reads like English. Once I understood basics… Everything became easier 💡 Don’t fear Python. Start small. 💬 Are you learning Python? #Python #Coding #Beginners #Learning

Day 33 of my python learning journey Today I learned 4 Python OOP topics 🐍 1. Method Overloading →We use default values or `*args` to make one method work for different inputs. 2. `*str*()` Method → Tells Python what to print when we use `print(object)`. 3. Abstract Class → A class we cannot create objects from. It’s just a plan for other classes. We make it using `ABC`. 4. Abstract Method → A method with no code inside. Child class must write code for it. We use `@abstractmethod`. These help in writing clean, structured, and reusable code. Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation.

🚨 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

You didn't fail to learn Python. Python failed to reach you. Every course you tried was built by a software engineer. They talked about lists, loops, and libraries. Nobody mentioned sequences. Or FASTA files. Or p-values. Of course you quit. It wasn't relevant. You need Python taught through your world not theirs. A microbiologist built the course you've been waiting for. More soon.

🚀 Python Series – Day 2: Installing Python & Writing Your First Program Yesterday, we understood What is Python & Why it is powerful. Today, let’s take the first real step— installing Python and writing your first program 💻 🔧 Step 1: Install Python 1. Go to the official website: https://www.python.org 2. Download the latest version 3. While installing, IMPORTANT: ✔️ Check “Add Python to PATH” ▶️ Step 2: Verify Installation Open Command Prompt / Terminal and type: python --version 🧠 Step 3: Your First Python Program print("Hello, World!") 💡 What does this mean? print() → Used to display output "Hello, World!"→ Text (string) 🎯 Why is this important? This is your first step into coding. Every expert once started with this simple line. 🔥 Pro Tip: Try this: print("I am learning Python 🚀") ❓ Question for you: Have you written your first Python program yet? 👉 Comment YES / NO— I’d love to know! 📌 Tomorrow: Variables & Data Types (Most Important Topic!) #Python #DataScience #Coding #Programming #LearnPython #Beginners #Tech #MustaqeemSiddiqui

🚀 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

💡 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