Python List Mutation Challenge: What Happens to a?

🚀 Using Boolean Operators to Create Complex Conditions (Python) Boolean operators such as 'and', 'or', and 'not' can be combined to create complex conditional expressions. 'and' requires both operands to be True for the entire expression to be True. 'or' requires at least one operand to be True. 'not' negates the value of its operand. Understanding how to combine these operators is essential for creating sophisticated control flow logic that accurately reflects the desired program behavior. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development

Most developers think generators are just about saving memory. That’s true, but it misses the more interesting part. Generators give you control over when work happens. Nothing runs until the next value is requested. That small detail changes how you design data flows, especially when you’re dealing with streams, pipelines, or external systems. In this week’s video, I show how generators act as small state machines, how to build clean data pipelines with them, and how features like `send()` and async generators extend that model even further. If you want to get better at designing data flows in Python, this is worth understanding properly. 👉 Watch the full video here: https://lnkd.in/eHrPzaQJ. #python #softwaredesign #cleancode #generators #developers #arjancodes

DAY-12 PYTHON SERIES What is Polymorphism? Polymorphism means “many forms.” In Python, it allows the same function or method to behave differently depending on the object or context. 🔹 Why is it useful? ✔ Makes code flexible and reusable. ✔ Improves readability. ✔ Allows different classes to use the same method name. 🔹 Example in Python: class Dog: def sound(self): print("Dog barks") class Cat: def sound(self): print("Cat meows") for animal in (Dog(), Cat()): animal.sound() 🔹 Real-world example: A person can be a student, employee, or teacher — same person, different roles. 💡 Key Idea: Same method name, different implementations. #Python #OOP #Polymorphism #Coding #Programming #LearnPython #Developer #SoftwareEngineering #100DaysOfCode #Tech

Most developers think generators are just about saving memory. That’s true, but it misses the more interesting part. Generators give you control over when work happens. Nothing runs until the next value is requested. That small detail changes how you design data flows, especially when you’re dealing with streams, pipelines, or external systems. In this week’s video, I show how generators act as small state machines, how to build clean data pipelines with them, and how features like `send()` and async generators extend that model even further. If you want to get better at designing data flows in Python, this is worth understanding properly. 👉 Watch the full video here: https://lnkd.in/eztrHhmx. #python #softwaredesign #cleancode #generators #developers #arjancodes

🚀 Python's Core Operators: Arithmetic, Comparison, and Logical Python provides a rich set of operators for performing various operations. Arithmetic operators (+, -, *, /, %, **) are used for mathematical calculations. Comparison operators (==, !=, >, =, <=) are used for comparing values and returning boolean results. Logical operators (and, or, not) are used for combining boolean expressions. Understanding these operators is fundamental for writing conditional statements and performing data manipulation. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development

🚨 Most developers get this wrong… will you? t = (1, 2, [3, 4]) t[2].append(5) print(t) At first glance, many assume this throws an error ❌ 💡 Why this matters: - Tuples are immutable - But they can contain mutable objects (like lists) - And those objects can still be modified This small concept highlights a deeper understanding of Python’s data model — something interviewers often look for. 🎯 Key takeaway: «Immutability applies to the container, not necessarily the contents.» 👇 Curious to know: Did you get it right on the first try? #Python #SoftwareEngineering #CodingInterview #Developers #Programming #TechCareers #Learning #PythonTips

Python's Global Interpreter Lock (GIL) has been both a blessing and a curse. The GIL prevented true multi-threaded parallelism in CPython — one of the biggest complaints from developers building CPU-intensive Python applications. But Python is finally removing it. Here's what that means: → True multi-threading: No more being forced to use multiprocessing for CPU-bound tasks just to bypass the GIL → Better multicore utilization: Threads can actually run in parallel across cores → Simpler code: Less complexity around process spawning, shared memory, and serialization → Hybrid approaches work: You can still use asyncio for I/O, threads for cleanup, and multiprocessing where needed The GIL was a pragmatic solution that let Python dominate in scripting, data science, and web development. Removing it is an admission that the ecosystem has grown up. Python is becoming the language that can do everything well — and removing the GIL is a big step in that direction. What's your take? Is this the right move or are you team multiprocessing? 👇 #Python #GIL #Multithreading #Programming #Performance

Every Python developer needs to see this. We write clean, elegant Python and feel like we're driving a Ferrari. Meanwhile C++ is literally towing us the entire time. This isn't just a meme it's actually true. Python's most powerful tools NumPy, TensorFlow, PyTorch, OpenCV are all C/C++ under the hood. The abstraction is beautiful. But knowing what's underneath makes you a better engineer. Learn Python. Ship fast. Understand C++. Think deep. Tag a Python dev who needs to humble themselves today! #Python #CPlusPlus #Programming #Developer #TechHumor #SoftwareEngineering #Coding #ComputerScience #Tech

📌 Python Interview Questions . 📌 Question 19: What is the use of pass in Python? A) Exit program  B) Placeholder for code  C) Skips iteration  D) Raise error ------------------ 📌 Question 20: Which keyword is used to define a loop in Python? A) loop  B) iterate  C) for  D) each  ------------- 📌 Question 21: Choose the correct loop syntax. A) for i to 10:  B) for (i in 10):  C) for i in range(10):  D) foreach i in 10:  . Visit: https://lnkd.in/gf23u2Rh Call: 9985396677 | info@ashokit.in Follow @ashokitschool for more updates. . #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #PythonBasics #InterviewPrep #ITJobs #AshokIT #CodeDaily

Today I learned about Sets in Python 🔥 A set is an unordered collection of unique elements — no duplicates allowed! 🔹 Key Points ✔ Create: s = {1, 2, 3} ✔ copy() – duplicate set ✔ update() – add multiple elements ✔ pop() – remove random item ✔ remove() – remove specific item ✔ discard() – remove without error 🔗 Operations 🔸 Union | → combine 🔸 Intersection & → common values 🔸 Difference - → unique values 🔸 Symmetric Difference ^ → uncommon values 🧠 Set Comprehension {x*x for x in range(5)} 💡 Why use sets? ✅ No duplicates ✅ Fast operations ✅ Easy comparisons 📌 Conclusion: Sets make handling unique data simple and efficient. Global Quest Technologies #Python #LearnPython #DataStructures #CodingJourney #100DaysOfCode #Programming #Developers #PythonDeveloper #TechLearning