Can you predict the output of this classic Python function puzzle? 🐍 ```python def add_to_list(val, my_list=[]): my_list.append(val) return my_list print(add_to_list(1)) print(add_to_list(2)) ``` What's the output? A) [1], [2] B) [1], [1, 2] C) [1, 2], [1, 2] D) [1, 2], [3] Comment your answer and share your explanation! #Python #Coding #Programming #Quiz #LinkedIn
Python Function Puzzle: Default Argument Behavior
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Can you predict the output of this classic Python function trick? ```python def add_to_list(val, my_list=[]): my_list.append(val) return my_list print(add_to_list(1)) print(add_to_list(2)) ``` What's the output? A) [1], [2] B) [1], [1, 2] C) [1], [1] D) [1], [2, 1] Comment your answer and tag a Python friend! #Python #Coding #Programming #Quiz #LinkedIn
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One of the most common questions from Python beginners is: "Why do we need if __name__ == "__main__":?" Here is the breakdown: Every Python module has a built-in variable called __name__. If you run the file directly, Python sets __name__ to the string "__main__". If you import the file, __name__ is set to the name of the file (e.g., "my_module"). By checking this condition, you ensure that test code or script execution logic doesn't accidentally run when someone just wants to import your functions. It’s a small line of code that makes a huge difference in modularity! #PythonDeveloper #Backend #Programming #CodeQuality #TechEducation
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One Python line that silently kills performance: `if x in my_list:` At first glance, it seems harmless and works well. However, as `my_list` grows, the performance impact becomes significant. Time complexity is crucial: - A `set` lookup has a time complexity of O(1). - A `list` lookup has a time complexity of O(n). Many performance issues begin with the mindset of, “It works, so it’s fine.” In Python, choosing the right data structures is a key design decision.
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Ever installed a Python package... and still got ModuleNotFoundError? Most of the time, the package isn’t missing. It’s just installed in a different Python. That confusion is what I built Mustel for. Mustel is a small Python CLI tool that helps you: ✔️see which Python you’re actually using. ✔️see what packages are installed where. ✔️understand environment mismatches clearly. ✔️It doesn’t modify your system. ✔️It just makes Python environments visible. Install: pip install mustel Docs: https://lnkd.in/dncSmRDd PyPI: https://lnkd.in/dbDhr673 Built while learning Python packaging and CLI internals. #lauchpost #mustel #python #learning #project #pythonpackage #pypi
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Here’s a simple yet powerful Python program that demonstrates how functions and loops work together to solve real-world problems efficiently. 🔹 In this program, we define a function even(li) that: Takes a list as input Iterates through each element Checks whether the number is even Prints only the even numbers from the list This is a great example for beginners to understand: ✔ Functions in Python ✔ Loops (for) ✔ Conditional statements (if) ✔ Modulus operator (%) Such small programs build strong logical thinking and problem-solving skills in programming. def even(li): for i in li: if i%2 == 0 : print(i,end=" ") lst= [1,2,3,4,5,6,7,8,9,10] even(lst) #Python #Coding #ProgrammingBasics #DataScience #Learning #TechEducation
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Today I discovered that Python functions come in 5 different types 🐍 A function is a named block of code that performs a specific task. You can think of it as a mini-program inside your main program that helps keep code clean, reusable, and organized. Here are the 5 types: 1️⃣ Built-in Functions – print(), len(), abs(), range() 2️⃣ User-Defined Functions – created using the "def" keyword 3️⃣ Lambda Functions – small anonymous functions using "lambda" 4️⃣ Recursive Functions – functions that call themselves 5️⃣ Higher-Order Functions – functions that take other functions as input or return them (e.g., map(), filter(), reduce()) Still learning step by step, but understanding these basics makes Python feel much more powerful 💪 What was the first Python concept that confused you when you started? #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch
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👀 How do you print a list using just ONE single line ❓ ❓ ❓ 🐍 Python has simple lists with this format: nameOfList = [value1, value2, value3] If you want to print all the values in the list, perhaps the first thing you think of is that you'll need a loop ➿. But what if you want all the values displayed on "a single line"? You can also use a loop with some modifications. However, Python has the unpacking operator ❗ ❗ ❗ Place the character * at the beginning of your list. It automatically "unpacks" all the contents of your list into a single line! #Python #IA #programming
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5 Python Shortcuts Every Developer Needs 🐍 Stop writing "Long Code." Python is built for efficiency. Here are 5 commands to make your scripts cleaner and more professional: 1️⃣ List Comprehensions Replace 4-line loops with one line. squares = [x**2 for x in range(10)] 2️⃣ enumerate() Need the index AND the value? Stop using range(len()). for i, val in enumerate(my_list): print(i, val) 3️⃣ zip() Loop through two lists at the exact same time. for name, score in zip(names, scores): print(name, score) 4️⃣ F-Strings The cleanest way to format strings (available in Python 3.6+). print(f"Hello, {name}! Score: {score}") 5️⃣ collections.Counter Instantly count occurrences in a list. counts = Counter(my_list) #Python #CodingTips #DataScience #Programming #CleanCode
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B---Default arguments in Python are evaluated once at function definition time, so mutable defaults like lists are shared across calls.