Real Python’s Post

Just built a Password Strength Checker in Python It analyzes passwords using rules like length, uppercase/lowercase letters, digits, and special characters to classify them as Weak, Moderate, or Strong. Tech: Python, Regex, Dataclasses, Pytest link:https://lnkd.in/ehj-XRpw #Python #CodingJourney

Understand List Operations in Python with Ease As a beginner in IT, learning to manipulate lists is a crucial skill. In this article, you will learn how to add, remove, and search elements in a list in Python. ListOperations ItFresher MasteringProgramming LearnPython TechLab Read the full article 👉 https://lnkd.in/dTeJiwWs #PythonForBeginners #ListOperations #ItFresher #MasteringProgramming #LearnPython #TechLab Code. Learn. Build. — TechLab by Neeraj

🐍📰 Memory Management in Python Get ready for a deep dive into the internals of Python to understand how it handles memory management and find out about Python’s internal memory management algorithms. #python

Two extremely useful list operations every Python programmer needs: ✅ Find Duplicates in a List   ✅ Remove Duplicates from a List  Clean, efficient, and interview-ready solutions using sets and dictionaries. Mastering these will make your data handling much smoother. Which approach do you prefer — the set method or list comprehension? Comment below and follow @ultrapythonic for daily Python learning content. #Python #Lists #DataStructures #CodingTips #LearnPython

🐍 asyncio.gather() might be the new goto of async Python. For years we used: asyncio.create_task() asyncio.gather() And accidentally created zombie tasks, coroutines still running long after the request finished. Python 3.11 introduced a different model: ⚙️ Structured Concurrency with asyncio.TaskGroup. Clear task lifecycles. Deterministic cancellation. No background chaos. I break down why this is one of the biggest shifts in Python async programming. 👉 https://lnkd.in/eBF_AkNe #python #asyncio #backend #softwaredevelopment #engineering

𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀: 𝗟𝗲𝗮𝗿𝗻 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 You want to learn coding. You are wondering where to start. The answer is Python. Why Python? Every major tech trend uses Python. You need to know these core concepts: - Variables and data types - Conditional statements - Loops - Functions - Lists and dictionaries You can start with simple programs. Write one program a day. In 30 days, you will see how far you have come. Python is the language powering the future. It is used in AI tools, data pipelines, and automation scripts. Source: https://lnkd.in/g3N8yT9Q

🐍 Python Interview Question 📌 What is Variable Scope in Python? Variable scope defines where a variable can be accessed and how long it exists in a Python program. 🔹 Local Scope Variables created inside a function and accessible only within that function. 🔹 Global Scope Variables declared outside functions and accessible throughout the program. 🔹 Module-Level Scope Variables available across the current module or file. 🔹 Built-in / Outermost Scope Predefined names provided by Python, such as len(), print(), and range(). 💡 In Short: Python follows the LEGB rule — Local, Enclosing, Global, Built-in — to resolve variable names efficiently ⚡ 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #PythonProgramming #VariableScope #LEGB #CodingInterview #InterviewPreparation #TechLearning #AshokIT

Today I made a simple Python Debugger Agent. how it works: simply paste your python code and it will analyze Python code execution, catch errors, and suggest fixes. Scope: Debugging scripts, explaining errors, and guiding users interactively. The link is given below. You can also make it yours custom Ai agents. https://lnkd.in/d985cKZV #gensparkai #ai

🐍 Python Interview Question 📌 How is a dictionary different from a list? Lists and dictionaries are two fundamental data structures in Python, but they serve different purposes. 🔹 List: ✔ Ordered collection of items ✔ Accessed using index (position) ✔ Ideal for sequential data 🔹 Dictionary: ✔ Collection of key–value pairs ✔ Accessed using unique keys ✔ Best for associative or mapped data 🔹 Example: ✔ List → [10, 20, 30] ✔ Dictionary → {"a": 10, "b": 20, "c": 30} 💡 In Short: Use lists when order matters, and dictionaries when you need fast lookups using keys 🚀 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #DataStructures #Coding #Programming #InterviewPreparation #TechLearning #AshokIT

Logistic Regression with NumPy and Python Implemented gradient descent from scratch, performed logistic regression using NumPy and Python, and created data visualizations with Matplotlib and Seaborn. #TIET #ThaparUniversity #ThaparOutcomeBasedLearning #ThaparCoursera #Coursera #UCS654_Predictive_Analytics