Python 3.13 Improves Error Messages for Better DX

A tiny Python trick I learned while using Claude Code While building an app with Claude Code, I noticed it repeatedly using a neat Python pattern I had somehow missed for years. d = {'A': 1, 'B': 2} e = {**d, 'A': 2} print(e) # {'A': 2, 'B': 2} This looks trivial. But the idea behind it is powerful: start from a default dictionary and selectively override fields. It’s a small trick, but it creates a very clean pattern for: ✅ Generating test cases ✅ Configuration overrides ✅ Scenario simulation Sometimes the most useful ideas are not big algorithms. They are small patterns that quietly make code cleaner. #pythonic #claudecode #claude #software #pythontricks #python

Python A/B Test Tools Compared: tea-tasting Pingouin vs statsmodels and SciPy 📌 Python’s A/B testing scene just got more organized-tea-tasting stands out with a sleek, experiment-focused API that auto-calculates effect sizes, confidence intervals, and p-values in one go. While statsmodels and SciPy offer deep stats power, tea-tasting cuts through the noise for teams craving speed and clarity. No more manual variance calculations or boilerplate code-just clean, production-ready insights. 🔗 Read more: https://lnkd.in/d88Xhtxe #TeaTasting #Pingouin #Statsmodels #Scipy #ABtesting

Day 31/100 – #100DaysOfCode 🚀 Solved LeetCode #1346 – Check If N and Its Double Exist (Python). Today I practiced brute-force comparison to check whether there exist two indices i and j such that arr[i] = 2 * arr[j]. Approach: 1) Use two nested loops to check all possible pairs. 2) Ensure that i ≠ j. 3) For each pair, check if arr[i] == 2 * arr[j]. 4) If condition is satisfied, return True. 5) If no such pair is found, return False. Time Complexity: O(n²) Space Complexity: O(1) Starting with brute force helps build understanding before optimization 💪 #LeetCode #Python #DSA #Arrays #BruteForce #ProblemSolving #100DaysOfCode

Finding Maximum Sum of k Consecutive Elements in Python Check out this simple sliding window trick to get the maximum sum of k consecutive numbers in an array. I used my own code to solve it: Python Copy code nums = [7,1,5,1,3,2] k = 3 n = len(nums) window = sum(nums[:k]) sums = window for i in range(k,n): window = window - nums[i-k] + nums[i] if sums < window: sums = window print(sums) How it works: Start with the sum of the first k numbers Slide the window by removing the first number and adding the next Keep track of the maximum sum Fast, simple, and efficient! #Python #DSA #Coding #Algorithms #LearnByDoing #DeveloperLife

Want to include a dynamic value in a multi-line #Python string? That would require both an f-string and a triple-quoted string. Good news: Python supports this! x = 10 y = 20 s = f"""{x} + {y} = {x+y} {x} * {y} = {x*y}""" print(s) # shows 10+20 = 30 and also 10*20 = 200

Sorting is the pre-step that makes fast searches possible. In Python, use sorted() when you want a new list back, and .sort() when you want to sort the original list in place. Bonus: reverse=True flips to descending order—perfect prep for binary search and many other algorithms.#Python #Sorting #Algorithms #CodingTips

Python didn’t throw an error… and that’s the problem x = 10 x = "10" Later: print(x + 5) This crashes. Not when the mistake happened… but later, when the variable was actually used. That’s the difference. Python lets you change types freely (dynamic typing), but errors only show up at runtime. In C++, this wouldn’t even compile. You’d catch it immediately. So the real question is: Do you want errors early… or flexibility first and consequences later? Day 3/30 #Python #C++ #LearningInPublic #30DaysOfCode

#Most #asked #Python #Programs #Core Reverse a string Check palindrome Fibonacci series Factorial Check prime number Armstrong number Find largest element in list Remove duplicates from list Count frequency of elements Find second largest number #Intermediate Merge two dictionaries Find common elements in lists List comprehension examples Lambda function usage Sort dictionary by values Read file and count words Exception handling example Matrix multiplication Binary search Bubble/quick sort #Advanced Decorator example Generator example Iterator implementation Multithreading example Multiprocessing example API call using requests Web scraping using BeautifulSoup Class & inheritance example Singleton pattern LRU cache implementation

Find the Bug! 🐛🔍 def add(a, b=[]): b.append(a) return b print(add(1)) print(add(2)) What is the second output? 🖨️ A) [2] B) [1, 2] C) [2, 1] This is the most dangerous default argument in Python. ⚠️ 👇 **Comment A, B, or C!** Did you spot the mutable default trap? 🪤 #Debugging #Python #CodingChallenge #BugBounty #Tech