Prana Narayanan’s Post

Python Notes for Beginners: Bringing this resource back again because it’s genuinely useful for beginners. “Complete Python for Beginners” by Rishabh Mishra is simple, structured, and easy to follow — especially if you're trying to build strong basics. This can help if you: • Are starting your Python journey. • Want quick and clean revision. • Prefer learning in a structured way. One thing I’ve realized after revisiting this: - Concepts become clearer when you come back to them after some practice. But also keep this in mind: - Notes help you understand, - projects help you remember. If you missed this earlier, it’s a good starting point. (Full credit to the original creator) Comment below, What’s working better for you right now — notes, videos, or hands-on practice? 📌 I share simple Python and backend learnings here. #Python #LearnPython #Programming #Coding #Developers #TechLearning #PythonDeveloper #SoftwareEngineer

11 Useful Python List Methods Working with lists is common in almost every Python project. Understanding these built-in methods makes your code cleaner and more efficient. Here are 11 essential list methods: 1) append() → Add a single item to the list. 2) extend() → Add multiple items individually. 3) insert() → Add an item at a specific index. 4) remove() → Remove the first matching item. 5) pop() → Remove and return an item. 6) index() → Find the position of an item. 7) count() → Count how many times an item appears. 8) sort() → Sort the list in place. 9) reverse() → Reverse the order of elements. 10) clear() → Remove all items from the list. 11) reverse() → Reverse the order of elements. These small methods are simple, but they appear frequently in real-world code. Mastering them improves readability and reduces unnecessary logic. Comment below, Which list method do you use the most? Comment below. Save this for quick revision later. 📌 I share simple Python and backend learnings here. #Python #LearnPython #Programming #Coding #SoftwareEngineering #PythonDeveloper

🐍📺 In this video course, you'll learn how to manipulate ZIP files using Python's zipfile module from the standard library. Through hands-on examples, you'll learn how to read, write, compress, and extract files from your ZIP files quickly #python

Python Challenge for Beginners Let’s see how strong your basics are 👇 What will this print? x = 5 print(x++) 🔹 5 🔹 6 🔹 Error 🔹 Not sure yet Drop your answer in the comments BEFORE checking Google We’ll explain the logic in simple steps! Learn Python step-by-step No confusion. No shortcuts. Just clear learning.

🎯 Caesar Cipher – Python Another step forward in my Python learning journey. This time I built a Caesar Cipher program that encrypts and decrypts messages by shifting letters of the alphabet based on a user-defined shift value. While building this project, I focused on strengthening logic and handling edge cases effectively. The program supports both encoding and decoding, handles large shift values using modulo logic, and preserves spaces, numbers, and special characters without breaking execution. Features: • Encrypt messages using Caesar Cipher • Decrypt messages using Caesar Cipher • Handles large shift numbers using modulo logic • Preserves spaces, numbers, and special characters • Input validation for encode/decode selection • Allows continuous use until user chooses to exit Concepts practiced: • Functions • Loops • Conditional statements • Lists • String manipulation • Modulo operator (%) • User input validation 💻 Try the app: 🔗 Live Demo (Replit): Link in comments 💻 GitHub Repository: Link in comments Always learning, one small program at a time. 🚀 #Python #CodingJourney #LearningToCode #BeginnerProgrammer #100DaysOfCode

🐍📰 A Beginner’s Guide to the Python time Module In this tutorial, you'll learn how to use the Python time module to represent dates and times in your application, manage code execution, and measure performance #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

🐍📺 In this Python Basics Exercises course, you'll review how to use Python to work with your computer's file system. Then, you'll tackle a coding challenge to develop your skills further. #python

🚀 Learning Python the Practical Way: Understanding Virtual Environments Over the past few days, I started learning Python and decided to focus on building instead of just reading syntax. Today, I explored one of the most important concepts for any developer: Virtual Environments (venv) Here’s what I understood: 🔹 A virtual environment is an isolated Python setup for a specific project 🔹 It prevents version conflicts between different projects 🔹 Each project can have its own dependencies without affecting others 💡 Why it matters: While working on multiple projects, different versions of the same library can break things. Virtual environments solve this by keeping everything separate and controlled. 🛠️ What I practiced: Creating a virtual environment Activating and deactivating it Installing packages inside it Understanding how Python uses project-specific paths This concept is very similar to how we manage dependencies in Node.js projects, but implemented differently in Python. Next step: Building a simple backend server using FastAPI to apply this knowledge in real projects. #Python #BackendDevelopment #FastAPI #WebDevelopment #LearningInPublic

Most people memorize Python data structures. The ones who actually use them correctly, understand ONE thing: → When to use which. I spent years watching developers reach for a list when a set would cut their code in half. Or use a dictionary when a tuple was all they needed. Here's the honest truth nobody tells you when you start learning Python: 📦 Lists — when order matters and you'll change things 🔒 Tuples — when order matters and you won't change things 🎯 Sets — when uniqueness matters more than order 🗂 Dictionaries — when you need to label your data But knowing the definition is NOT the same as knowing the instinct. That instinct? It only clicks when someone shows you the mental trick to decide in under 3 seconds. So I made a video that covers all four, lists, tuples, sets, and dictionaries - and ends with that exact trick. Watch it once. You won't need to Google "python list vs set" again. 🔗 Link in the first comment: https://lnkd.in/d89RTPHF If this would help someone you know, a student, a developer just starting out, or someone switching to Python, share it with them. That's the whole point. #Python #LearnPython #PythonProgramming #CodingTips #100DaysOfCode Python Software Foundation freeCodeCamp GeeksforGeeks