Nomidl’s Post

How async/await Works in Python (Simple Explanation) Async programming in Python allows multiple tasks to run without blocking each other. Instead of waiting for one task to finish, Python can switch to another task. Key Concepts: - async → defines a function that runs asynchronously - await → pauses execution until the task is complete How it works: 1. Task starts (e.g., API call) 2. Instead of waiting, Python moves to another task 3. When result is ready → execution continues Example Use Cases: - API requests - Database queries - File handling - Web scraping Why it’s important: - Faster performance for I/O tasks - Better resource utilization - Handles multiple operations efficiently Final Insight: Async is not about doing things faster… It’s about not wasting time while waiting. Follow Saif Modan #Python #Async #Backend #Programming #Tech #LearningInPublic

f-Strings in Python – A Must-Know for Every Developer Clean, readable, and efficient code is what every developer aims for—and f-strings in Python help you achieve exactly that. Instead of using complex concatenation or .format(), f-strings allow you to embed variables and expressions directly inside your strings. * Example: name = "Vaibhav" age = 22 print(f"My name is {name} and I am {age} years old.") * Why f-strings? ✔ Improved readability Faster execution Cleaner and modern syntax * You can even use expressions: a = 10 b = 5 print(f"Sum is {a + b}") Sum is 15 * Small improvement, big impact—writing better strings leads to writing better code. #Python #Programming #Coding #Developers #PythonTips #100DaysOfCode

One concept in Python that appears simple but carries deeper implications is mutability. On the surface, we categorize: - Lists and dictionaries as mutable - Strings and tuples as immutable However, the real impact becomes clear when considering memory and references. In Python, variables do not store values directly; they store references to objects. Thus, when you assign one variable to another, you are not copying data — you are pointing to the same object in memory. This distinction leads to very different behaviors between mutable and immutable types. With immutable objects, any modification results in the creation of a new object. In contrast, mutable objects allow the original object to be modified in place. This difference directly influences: - How functions behave - How data flows across modules - The emergence of subtle bugs in production Understanding this concept has aided me in debugging issues that initially seemed perplexing. It has also transformed my perspective on passing data between functions. Sometimes, the problem lies not in the logic but in how the data is being referenced. #Python #SoftwareEngineering #BackendDevelopment #Programming

🚀 Day 13 of my Python Full Stack Development Journey Today’s session focused on Continuation of Tuples and an introduction to the Set Data Structure in Python. 🔹 Tuples – Continuation • Applied concatenation ("+") and multiplication ("*") operators on tuples • Converted list → tuple and tuple → list • Summarized key characteristics: – Immutable in nature – Order of insertion is preserved – Duplicates are allowed – Supports heterogeneous data – Indexing and slicing are applicable – Tuple comprehension is not supported 🔹 Introduction to Sets • Learned how to create sets • Used the "set()" function • Understood how to create an empty set • Explored important built-in functions: "add()", "update()", "copy()", "pop()", "remove()", "discard()", "clear()" 💡 This session helped me understand the differences between tuples and sets, and when to use each effectively. 🙏 Thanks to G.R NARENDRA REDDY Sir and Global Quest Technologies for their continuous guidance and support. #Python #FullStackDevelopment #LearningJourney #DataStructures #Coding #Programming

🚀 Scope of Variables (Python) The scope of a variable determines where it can be accessed in the code. Variables defined inside a function have local scope and are only accessible within that function. Variables defined outside any function have global scope and can be accessed from anywhere in the program. Python uses the LEGB rule (Local, Enclosing, Global, Built-in) to resolve variable names. #Python #PythonDev #DataScience #WebDev #professional #career #development

Day 7/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 20: Valid Parentheses 💡 Problem: Check if a string of brackets is valid based on correct order and matching pairs. 🧠 What I learned: • Stack data structure • Handling nested structures • Efficient validation logic 💻 Example: Input: "([])" Output: True 🚀 Insight: Using a stack helps track opening brackets and ensures proper matching with closing ones. Small problems, big learning 💪 #30DaysOfCode #Python #LeetCode #Stack #CodingChallenge #ProblemSolving

Ever confused between List, Tuple, and Set in Python? 🤔 Here’s the simplest way to understand it: => List [] → Ordered, Mutable, Allows Duplicates => Tuple () → Ordered, Immutable, Allows Duplicates => Set {} → Unordered, Unique Elements Only 💡 Quick Tip: Use List when you need flexibility Use Tuple when data should not change Use Set when you need unique values Mastering these basics makes your Python code cleaner and more efficient. What do you use the most in your projects? 👇 #Python #Programming #BackendDevelopment #Coding #Developers #FastAPI #AI

💡 What is a Variable in Python? (Simple Explanation) Imagine you want to store something important…  👉 Your name   👉 Your age   👉 Your marks  You don’t just leave it anywhere, right?  You store it in a labeled box 📦  That’s exactly what a variable does in Python.  It stores data with a name.  Example: name = "Python" age = 20 👉 "name" stores text   👉 "age" stores a number  --- 💡 In simple terms: Variable = a container that stores data  --- Why it matters?  Because every program needs to store and use data.  --- What would you store in a variable first? 👇  #Python #Coding #Programming #Beginners #LearnInPublic

🚀 New YouTube Video Alert! I’ve just published a new video where I explain one of the most important concepts in Python: if / elif statements 🐍 In this video, you’ll learn: ✅ How to use "if", "elif", and "else" ✅ How to handle multiple conditions step by step ✅ How to write cleaner and more logical decision-making code This concept is essential for anyone starting with Python or improving their programming logic. 🎥 https://lnkd.in/ddeJZgXs If anyone faced confusion with conditions before, this video will make it much clearer. 💬 If you have questions or want me to explain another topic, drop a comment! #Python #Programming #Coding #Learning #Developers #YouTube #Tech

Most Python code looks simple until you realize how much is happening under the surface. Take this for example: _C = (1, 2, 3) a, b, c = _C print(a) This is iterable unpacking, more precisely Python’s way of doing positional destructuring assignment. What actually happens: _C is evaluated as an iterable Python matches elements positionally Each value is bound in a single atomic assignment step So internally: a = _C[0] b = _C[1] c = _C[2] This pattern is not just syntactic sugar, it is widely used in production code: Function return unpacking (return x, y) Iteration over structured data API responses and tuple-based records Why it matters: Removes manual indexing (less error prone) Improves intent readability Makes transformations explicit and compact One important constraint: If the structure does not match, Python fails fast with a ValueError, which is often a feature, not a bug. Clean syntax, strict alignment, predictable behavior. That is the philosophy behind Python’s design. Which Python feature felt too simple until you saw it in real systems? #Python #SoftwareEngineering #CleanCode #Programming #PythonTips #Coding #Developer #SystemDesign