How to use loops and lists in Python for power

What's the return value of this python function? No one knows... In english, the function says:  * start with the number 8 * repeatedly add half of the number (rounding down) to itself * stop if you've seen more than twice as many odd numbers as even numbers We don't even know if it does return. Intuition says the loop never terminates, but it'd probably need some new maths to prove it either way. And that's awesome. Way more here: https://lnkd.in/epjrPKNy and https://lnkd.in/eJ6PzpTQ How can twelve lines of python be so complex?

I studied parsers in Python yesterday. It turned out to be a very easy lesson. I’m going to keep learning Python parsers. Here’s a piece of code I wrote. import requests link = "https://browser-info.ru/" responce = requests.get(link) with open("1.html", "w", encoding="utf-8") as file: file.write(responce.text)

This is code Of Caption Generation (Inference) By Python. def generate_caption(photo, tokenizer, max_length): in_text = 'startseq' for _ in range(max_length): sequence = tokenizer.texts_to_sequences([in_text])[0] sequence = pad_sequences([sequence], maxlen=max_length) yhat = model.predict([photo, sequence], verbose=0) yhat = np.argmax(yhat) word = tokenizer.index_word.get(yhat) if word is None: break in_text += ' ' + word if word == 'endseq': break return in_text

Python String Slicing 🐍 The most important rule for variable[start:stop]1: start: IS included2. stop: is NOT included3. 3 key patterns: variable[start:stop] ➔ Grabs a middle section. "HELLO PYTHON"[0:5] gives HELLO 4 variable[start:] ➔ Grabs from start to the end. "HELLO PYTHON"[6:] gives PYTHON 5 variable[:stop] ➔ Grabs from the beginning to stop. "HELLO PYTHON"[:5] gives HELLO 6 Bonus Tip: Use [start:stop:step] to "jump" #Python #Programming #PythonTips #Coding

🐍📰 Three Ways of Storing and Accessing Lots of Images in Python In this tutorial, you'll cover three ways of storing and accessing lots of images in Python. You'll also see the performance benefits and drawbacks of each one. #python

Python Tip – Day 7: Using zip() to Combine Lists The zip() function is a handy built-in tool in Python that lets you combine two or more iterables (like lists or tuples) element-wise. Example: names = ["Alice", "Bob", "Charlie"] scores = [85, 90, 95] for name, score in zip(names, scores): print(f"{name} scored {score}") Output: Alice scored 85 Bob scored 90 Charlie scored 95 Why it’s useful: 1) Helps pair related data easily. 2) Makes your loops clean and readable. 3) Can be converted to a dictionary using dict(zip(keys, values)). 🔥Day 7 of 30 Days of Python code The zip() function — because combining lists should be as smooth as Python itself! Clean, readable, and efficient. #Python #Coding #30DaysOfPythoncode #LearnCoding #PythonTips

Python finally supports native max heap operations! Python 3.14 added the following methods to the heapq module: - heapify_max() - heappush_max() - heappop_max() - heapreplace_max() - heappushpop_max() Before this, we had to negate values when pushing and popping from a heap, as a workaround to simulate a max heap (using a min heap). Idk why this took so long, but it's a pleasant surprise. And frankly, it's another reason why Python is the obvious choice for readability in coding interviews. We also added Python 3.14 support to neetcode.io courtesy of Judge0 If you're still not using Python, what is you doing.

#How_Python_Actually_Stores_Variables_in_Memory In Python, every value is an object, no matter if it’s an integer, string, list, or function. x = 10 - Python creates an integer object with the value 10 in memory. - Then it creates a reference (a kind of pointer) from the variable name x to that object. a = 5 b = a - The integer object 5 is created. - a refers to that object. - b is then bound to the same object — not a copy. So: a ─┐   ├── [int object: 5] b ─┘ The behavior of references depends on whether the object is mutable or immutable. Examples #Immutable x = 5 y = x x = x + 1 x now refers to a *new* object (6) y still points to old object (5) #Mutable a = [1, 2] b = a a.append(3) both a and b see the change -> [1, 2, 3] #Memory_Management_and_Garbage_Collection Python uses automatic memory management through: - Reference counting: every object keeps track of how many variables refer to it. - Garbage collector: frees objects when they are no longer referenced (reference count = 0) and reference get be get using sys.getrefcount()

🗓️ Python Daily – Day #1 🎯 Topic: Mastering List Comprehensions ✨ 💡 Concept: List comprehensions are a compact way to process and create lists in Python. Instead of writing loops, you can do it in one line! **Task:** Create a list of squares from 1 to 10 (inclusive) using a list comprehension. Example output: ```python [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] ``` ✅ Hint: Think of the syntax `[expression for item in iterable]` --- 🧩 Answer/Explanation: ```python squares = [x**2 for x in range(1, 11)] print(squares) ``` This single line replaces the need for a loop that appends squared values to a list. It's cleaner, faster, and very "Pythonic"! Try modifying it to get cubes next! 🚀