Coding Computing Coach

🚨 Python Testing Series 🚨 Employ testing to gamify your coding. Learn how to test code using pytest. Build a Cash Dispenser project in Test Driven style. Ongoing series of posts, see README at: github.com/CodingComputin…

@PythonPr Answer: 20 Solution: x is the integer 10. y is the string "10". However, int(y) converts the string to int. Hence, int(y) gives the value 10. So, x + int(y) simplifies to 10 + 10 that gives 20.

Python Quiz: What is the Output?

If you've got to learn one thing today, let it be: Python.

@pawjast Absolutely. Just don't try to learn all of it in a day.

@clcoding it forces the int 10 to its float type before comparison. 10 converted to float is 10.0. 10 == 10.0 thus simplifies to 10.0 == 10.0 which works out to be True, and that's what gets printed.

@clcoding Answer: True Solution: We are checking equality of two values here: 10 and 10.0 Notice their data types: 10 is an int. 10.0 is a float. Now, if we check the equality among 10 and 10.0, python is smart enough to know that both these are numeric types. So, +

What will be the output of the following Python code? print(10 == 10.0)

Debugging is critical thinking and diagnosis.

@PythonPr Answer: D Solution: score is initialized to 90. Let's now go through the if-elif-else ladder. The if-condition is score > 90 Because the value of score is 90, this condition is False. That is because it is > and not >= So we go the elif score>=90 and score<90 +

What will This Code Print? Write Me Your Thoughts Here!

@PythonPr Answer: A Solution: The main part is to figure out what the loop is over. range(0, 5, 2) produces a sequence of numbers - starting from 0 - up to, but excluding 5 - with increments of 2 So, the items in the range are: 0, 2, 4. Note that 6 won't be in there, as it's >=5. +

@PythonPr So, i takes values 0, 2, 4 within the loop. x is initialized to 0. In the 1st iteration, i=0 is added to x. It remains 0. In the 2nd iteration, i=2 is added to x, making it 2. In the 3rd iteration, i=4 is added to x, making it 6. The loop ends. The value of x, 6 is printed.

90% of the beginners will answer this wrongly🤯🤯 Comment your answer 👇

@PythonPr Answer: world Solution: n is initialized to the value 20. Then, there is an if-statement with an equality check condition. It compares n with 15. Since n is 20, the condition is False. Therefore the else-block is executed. That prints world.

Python Quiz: What is the output of the following Python code?

The quick bug fixes take the longest. The temporary fixes live in the codebase the longest.

@PythonPr the fraction rounded down. Eg. 10 // 5 gives 2 (not 2.0 like / would) 14//5 also gives 2 (not 2.8 like / would) -14//5 gives -3 (not -2.8 like / would, and we round down)

@PythonPr Answer: A Solution: There are 2 division operators in Python, / and //. / is regular division. It gives back a float, even if the operands are ints. // is floor division. It returns what we call "quotient". It gives back an int if the operands are ints. The value is +

What’s your answer? 🔥

Thank you Windows Update for pushing me to try Linux.

@emollick @karpathy rightly says that while learning, the primary feeling should be that of effort. He said it for YouTube content, but the point still stands. Taking shortcuts is suboptimal for learning.

More evidence, from a large-scale study in China, that using AI hurts learning if it undermines mental effort. When homework time drops due to AI use, so do test scores. Across studies, a theme: AI tutoring in support of classes is good, using AI to "help" with homework is bad.

@bendee983 @karpathy rightly says that while learning, the primary feeling should be that of effort. He said it for YouTube content, but the point still stands. Taking shortcuts is suboptimal for learning.

One of the effects of AI that is not discussed enough is the threat of cognitive laziness. I'm seeing it happen in real time. Everything is being reduced to an LLM prompt. People stop thinking and learning as they relegate everything to AI. First, you review the AI's response with skepticism. Eventually, a lot of people become overwhelmed with AI fatigue and just accept whatever the LLM generates, whether it is an article, an email, a software module. I see it every day in my inbox, in arXiv papers that have clear signs of AI output, in code that is awfully written. People start trusting the AI for everything and stop thinking. It remains to be seen what the long-term effect of this laziness will be. But it surely won't make us smarter.