I recently created a poll based on this problem lst = [True, False, '3', 1, 2, 3] b = 0 not in lst print(b) At first glance, it looks like 0 is not in the list, so the output should be True. But the actual output is : False My initial answer was also True but only after running the code did I realize what was actually happening. So I dug deeper to understand why Python behaves this way. In Python: True == 1 # True False == 0 # True This means when Python checks: 0 in lst # True 0 not in lst # False 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆 Be careful when mixing: Booleans (True, False) Integers (1, 0) Especially when using in or comparison operations. It can lead to unexpected results. #Python #CodingTips #ProgrammingConcepts #LearnPython #DeveloperJourney #SoftwareEngineering #TechLearning #CodingPoll
Python's Unexpected Behavior with Booleans and Integers
More Relevant Posts
-
🐍 Python Trick — Did you get it right? b = a doesn't copy the list. It points to the SAME object in memory. So when b changes... a changes too. 🤯 This one gotcha has caused more bugs than most people admit. 💡 Always use b = a.copy() or b = a[:] when you need a true copy. Drop a ✅ if you got it right or a ❌ if it surprised you! Follow for more Python tricks, AI/LLM tips & SQE insights every week. 🔔 #Python #PythonTricks #SoftwareEngineering #SQE #Coding #100DaysOfCode #AIEngineering #TechLinkedIn #PythonDeveloper
To view or add a comment, sign in
-
-
Ever wondered how to fetch the maximum and minimum values from a dictionary in Python without explicitly using a for loop? Assume you have a dictionary called bids of type `dict(str, int)`: `Maximum value` max_bid_user = max(bids, key=bids.get) max_bid_price = bids[max_bid_user] print(f"Highest Bid: {max_bid_user} with price: {max_bid_price}") `Minimum value` min_bid_user = min(bids, key=bids.get) min_bid_price = bids[min_bid_user] print(f"Lowest Bid: {min_bid_user} with price: {min_bid_price}") The max and min functions allow you to pass a key parameter, which in this case is bids.get. This tells Python to evaluate dictionary keys based on their corresponding values, making it easy to retrieve the keys with the highest and lowest values. #Python #AIML #AIwithAnishArya
To view or add a comment, sign in
-
🔥 WHY THIS PYTHON QUESTION BREAKS BRAINS 🤯 Question: x = [[1, 2], [3, 4]] y = x.copy() y[0][0] = 99 print(x) print(y) 💡 What will be the output? A. [[1, 2], [3, 4]] [[99, 2], [3, 4]] B. [[99, 2], [3, 4]] [[99, 2], [3, 4]] C. [[1, 2], [3, 4]] [[1, 2], [3, 4]] D. Error
To view or add a comment, sign in
-
🔥 THIS PYTHON QUESTION LOOKS ILLEGAL BUT RUNS 🤯 Question: a = (1, 2, [3, 4]) a[2] += [5, 6] print(a) 💡 What will be the output? A. (1, 2, [3, 4, 5, 6]) B. TypeError C. (1, 2, [3, 4]) D. TypeError BUT list still gets modified
To view or add a comment, sign in
-
Interesting point of contrast between many solutions on codewars is how many choose to avoid or use included libraries. In particular, python has some pretty robust builtin types for handling strings, such that a lot of RegEx expressions are not really necessary or necessarily the most readable implementation It's my opinion that, from a productive efficiency and elegance perspective, just using standard libraries is best. They're likely to support data structures and operations which fit the problem. However, from a perspective of learning how the core features of a language works, doing as much as can be done without imports is a useful exercise. yes, a queue is best supported by the standard library for it, but list.pop(0) works in a pinch
To view or add a comment, sign in
-
Just published my latest article on Medium 🚀 "Everything is an Object in Python — What That Really Means" In this post, I dive deeper into how Python handles objects, the difference between mutable and immutable types, and how memory and references really work behind the scenes. This project completely changed the way I think about variables and function behavior in Python. 🔗 Read it here: https://lnkd.in/diUXBpGW #Python #Programming #SoftwareEngineering #Holberton #TuwaiqAcademy
To view or add a comment, sign in
-
Python Series — Day 3 🧠 Let’s level it up a bit 👇 What will be the output of this code? def modify_list(lst): lst.append(4) a = [1, 2, 3] modify_list(a) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. None Think carefully 👀 (Hint: It’s not about functions… it’s about how Python handles data) Drop your answer 👇 Answer tomorrow 🚀 #Python #CodingChallenge #LearningInPublic #DataEngineering #Tech
To view or add a comment, sign in
-
-
You can call the Claude API in under 10 lines of Python. Here's the minimum working example: import anthropic client = anthropic.Anthropic(api_key="your-key") message = client.messages.create( model="claude-opus-4-6", max_tokens=1024, messages=[{"role": "user", "content": "Summarize this text"}] ) print(message.content[0].text) That's it. No complex setup. I use this as the base for all my AI-powered client tools. Want me to show how I wrap this into a full automation? Comment "yes" below. #ClaudeAI #Python #API #AITools
To view or add a comment, sign in
-
Python Strings & Formatting String Formatting f-strings (Python 3.6+, recommended – cleanest): print(f"My name is {name} and I am {age}") # My name is Joy and I am 30 print(f"Next year, I will be {age + 1}") # Next year, I will be 31 String Methods phrase = "Hello World" print(phrase.lower()) # hello world print(phrase.upper()) # HELLO WORLD print(phrase.count('l')) # 3 print(phrase.find('World')) # 6 print(phrase.replace('World', 'Universe')) # Hello Universe Key Takeaways: - Multiple ways to format strings - f-strings = cleanest & recommended - Strings are immutable - .find() gives index, .count() counts chars #Python
To view or add a comment, sign in
-
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development