Python Lambda Function Basics

Pick the right way to “𝐂𝐨𝐩𝐲” in Python, there are 4 options: 𝚒𝚖𝚙𝚘𝚛𝚝 𝚌𝚘𝚙𝚢 𝚍𝚎𝚏 𝚌𝚞𝚜𝚝𝚘𝚖_𝚌𝚘𝚙𝚢(𝚊):  ... 𝚌 = 𝚊.𝚌𝚘𝚙𝚢()  ... 𝚌[𝟷] = 𝚊[𝟷].𝚌𝚘𝚙𝚢()  ... 𝚛𝚎𝚝𝚞𝚛𝚗 𝚌 𝚊 = [[𝟷, 𝟸], [𝟹, 𝟺]] 𝚌𝟷 = 𝚊 𝚌𝟸 = 𝚊.𝚌𝚘𝚙𝚢() 𝚌𝟹 = 𝚌𝚞𝚜𝚝𝚘𝚖_𝚌𝚘𝚙𝚢(𝚊) 𝚌𝟺 = 𝚌𝚘𝚙𝚢.𝚍𝚎𝚎𝚙𝚌𝚘𝚙𝚢(𝚊) c1, 𝐚𝐬𝐬𝐢𝐠𝐧𝐦𝐞𝐧𝐭: nothing is copied, everything is shared c2, 𝐬𝐡𝐚𝐥𝐥𝐨𝐰 𝐜𝐨𝐩𝐲: first value is copied, underlying is shared c3, 𝐜𝐮𝐬𝐭𝐨𝐦 𝐜𝐨𝐩𝐲: you decide what is copied and shared c4, 𝐝𝐞𝐞𝐩 𝐜𝐨𝐩𝐲: everything is copied, nothing is shared Visualized using memory_graph: https://lnkd.in/e4De_CWj

Have you ever written a perfectly “correct” Python function… that still feels slow and clumsy? Not because the logic is bad, but because it keeps doing expensive work over and over again: • re-reading files • re-parsing data • recomputing values that never change In today’s video, I walk through 10 Python features hiding in the standard library that make your code faster, clearer, and easier to reason about. Things like caching expensive operations, expressing intent more clearly, managing resources safely, and writing logic that scales without turning into spaghetti. 👉 Watch the video here: https://lnkd.in/eXcxPAQe #Python #PythonTips #ArjanCodes #CleanCode #SoftwareDesign #Pythonic

Built a YouTube Video Statistics Checker 📊 using Python and the YouTube Data API, which extracts video details like views, likes, and comments directly from a video URL. This project helped me gain hands-on experience with API integration, regex-based URL parsing, and building command-line applications in Python. GitHub: https://lnkd.in/gKetegTd #Python #APIs #YouTubeDataAPI #MiniProject #LearningByDoing

Excited to share my latest project — a Voice Assistant built using Python! Technologies Used: pyttsx3 for Text-to-Speech speech_recognition for Speech-to-Text webbrowser for opening websites datetime for real-time clock pyjokes for fun responses ✨ Features: ✔️ Converts speech to text ✔️ Responds using text-to-speech ✔️ Tells current time ✔️ Opens YouTube ✔️ Tells random jokes ✔️ Answers basic questions (name, age) ✔️ Voice-controlled exit This project helped me understand: 🔹 Speech Recognition 🔹 Python automation 🔹 Working with APIs 🔹 Building interactive applications

What Really Happens When You Pass a Variable to a Function in Python? In Python, variables don’t hold values — they hold references to objects. When you pass a variable to a function: 👉 Python passes the reference, not a copy of the object. This model is often called “pass-by-object-reference” (or call by sharing). Why this confuses people? Immutable objects (int, str, tuple): Reassignment inside a function creates a new object → original stays unchanged. Mutable objects (list, dict, set): In-place modification changes the same object → caller sees the change. So it feels like: Immutable → pass by value Mutable → pass by reference But that’s just an illusion. The real rule Python always passes a reference to an object. What you do with that reference determines the outcome. #Python #ProgrammingConcepts #PythonInternals #Mutable #Immutable #CleanCode

Faced an interesting issue today while working with Python. `json.loads(data)` was throwing an error because the incoming data looked like JSON but wasn’t actually valid JSON. Key takeaway: • Always validate JSON structure • Check quotes, trailing commas, and escape characters • Don’t assume API data is clean Small fix, valuable lesson. #Python #JSON #DataScience #Backend

When doing some quick data visualization in Python, matplotlib is often the default. But, it can require quite a bit of set up and lacks default styling. Seaborn is a great Python package that uses matplotlib but is integrated with Pandas dataframes, comes with chart wrapper functions, and has several different styling themes. A few helpful methods I use often: 1. sns.despine() -> Removes extra borders along 2. sns.set_theme(style="white") -> Sets your Seaborn theme with a 2nd parameter for overriding default colors and sizes I have a getting started tutorial covering labels and styling and will post it in the comments. #Python #DataVisualization

How To implement kNN from scratch In Python Written by $DiligentTECH 💀⚔️ But how do we teach a machine to "look around" and decide? How do we translate that gut instinct into reactive, yet responsive Python code? Let’s discuss simple ways to implement (KNN) from scratch In Python. Section 1: The Principle $SlimRich147: "Yo, $DiligentTECH, why are we obsessed with distances? Isn't kNN just a glorified ruler?" $DiligentTECH: "In a way, yes. But think of it as 'social profiling' for data. The core philosophy is Similarity. If a data point lives near a cluster of 'A', it likely identifies as 'A'. We measure this 'social distance' using the Euclidean Distance formula." To build this from scratch, we need a way to calculate the straight-line gap between two points in space. https://lnkd.in/dMJ-Xygg

🔍 Set vs Dictionary in Python — Think Like an Engineer Both use hashing. Both offer average O(1) lookup. But they solve different problems. 🔹 Set → When uniqueness matters. Perfect for tracking unique users, emails, IDs, or attendance. 🔹 Dictionary → When relationships matter. #Python #SoftwareEngineering #DataStructures #DeveloperMindset 🚀

🚀 Day 2 of #100DaysOfCode – Python Full Stack Journey Today at #Codegnan, I explored one of the most important core concepts in Python – Type Conversion & Data Types 📌 Day 2 Learnings: 🔹 Understanding input() and its default string type 🔹 Difference between Implicit and Explicit Type Conversion 🔹 Handling TypeError and ValueError 🔹 Converting between data types: int → float, str, bool float → int, str, bool str → list, tuple, set list ↔ tuple ↔ set Understanding truth values (bool() behavior) 💡 Key Takeaway: Python treats user input as a string by default. Proper type conversion is essential to avoid runtime errors and ensure smooth execution. Hands-on practice helped me understand how different data structures behave when converted into one another — especially how set() removes duplicates and how bool() evaluates values. 🔗 GitHub Link: https://lnkd.in/gchcwW95 📈 Small steps daily. Strong foundations tomorrow. #100DaysOfCode #Python #FullStackDevelopment #LearningJourney #Codegnan #Day2 #KeepLearning