How to Handle Large Files in Python

Finished a Credit Default Prediction Model built with Python and Streamlit using UCI_Credit_Card data from Kaggle. Users can explore data, train models, and visualize predictions, all through a clean, interactive web interface. Download it from my github repository https://lnkd.in/dmEcVaPf Read the README file to download the necessary libraries before running the Streamlit. #Python #MachineLearning #Streamlit #CreditRisk

Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/eQUHiyyy #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes

Day 47 – Writing to a File in Python Want to store your program’s output permanently? Let’s write to a file 📝 file = open("notes.txt", "w") file.write("Learning Python is fun!") file.close() 💡 This creates (or overwrites) a file named notes.txt. Every time you run this, the previous content is replaced. 🧩 Pro Tip: Use "a" mode if you want to append instead of overwriting (coming soon 😉). 👉 What would you store in your first text file? #Python #Coding #FileHandling #Programming

🚀 Sets: Unordered Collections of Unique Elements (Python) Sets are unordered collections of unique elements. They are defined using curly braces `{}` or the `set()` constructor. Sets are useful for removing duplicate elements from a collection and performing set operations like union, intersection, and difference. Because sets only store unique elements, they can be used to test for membership efficiently. Sets are mutable, so you can add and remove elements. #Python #PythonDev #DataScience #WebDev #professional #career #development

Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/evzGVC_A #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes

Hello, everyone 👋 Welcome to Day 7 of my #30DaysOfPython journey! 🚀 Today, I explored one of the most powerful concepts in Python — Loops! 🐍 Loops are used to repeat a block of code multiple times, making our programs more efficient and easier to manage. Python provides two main types of loops : 🔹 for loop — used when we know how many times we want to repeat. 🔹 while loop — used when we want to repeat code until a condition becomes False. I also learned about loop control statements like break, continue, and pass which help manage how loops behave. Learning loops is an important step to write dynamic and smart programs! 💡💻 LogicWhile #Day7 #Python #LearnPython #PythonBasics #PythonLoops #ForLoop #WhileLoop #InfiniteLoop #CodingJourney #PythonProgramming #ProgrammingBasics #TechLearning #Developers #CodeEveryday #KeepLearning #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode #PythonForBeginners

Ever noticed your Python app’s memory shooting up with thousands of objects? That’s because every normal Python object carries a hidden __dict__ extra memory overhead per instance. Enter __slots__ a lesser-known optimization that can make your classes leaner, faster, and more memory-efficient. In this carousel, you’ll learn: 🔹 How object memory usage actually works 🔹 What __slots__ does behind the scenes 🔹 The trade-offs & design limitations 🔹 When it’s actually worth using A niche optimization but with real impact in the right context. #Python #MemoryOptimization #PythonTips #AdvancedPython #CodeEfficiency #LearnPython #PythonDevelopers #PerformanceMatters #TechLearning #PythonCommunity #CodeXLancers

PYTHON JOURNEY - Day 16 of 50 !! TOPIC : The else Clause in Loops Did you know? Python loops can have an else block — and it’s not what most people think! The else part in a loop runs only when the loop completes normally (without a break). --- Example 1 — With for Loop for i in range(1, 6): print(i) else: print("Loop completed successfully ") Output: 1 2 3 4 5 Loop completed successfully --- Example 2 — Using break for i in range(1, 6): if i == 3: break print(i) else: print("Loop completed successfully ") Output: 1 2 The else block didn’t execute because the loop was broken early. --- Quick Tip: Use the loop else to handle cases when a loop ends naturally, like searching for an item — if not found, execute the else. --- #Python #LearnPython #ForLoop #WhileLoop #PythonBasics #Coding #PythonTips #LinkedInLearning