Boolean Operators in Python for Complex Conditions

#Python f-strings are the best: - Put an f before the opening ' or " - Creates a regular string - Expressions in {} are evaluated/interpolated x = 5 y = 7 f'{x} + {y} = {x+y}' # 5 + 7 = 12 x = [1,2] y = [3,4] f'{x} + {y} = {x+y}' # [1, 2] + [3, 4] = [1, 2, 3, 4]

🔥 I asked 20 developers this Python question. Only 3 got it right. Let’s see if you’re one of them 👇 a = (1, 2, [3, 4]) a[2] += [5, 6] print(a) 💡 What happens? A. (1, 2, [3, 4, 5, 6]) B. TypeError C. (1, 2, [3, 4]) D. TypeError BUT list still changes ⚠️ Most people get this WRONG. Take 10 seconds. Think carefully. 💬 Drop your answer below (no cheating, no running code ) I’ll reply with the correct answer + explanation. #Python #Programming #Developers #CodingChallenge #TechInterview #LearnPython #SDET #AutomationTesting #DeveloperCommunity #AI

Remember, #Python f-strings are strings: 1. Use f-strings anywhere you'd use strings, e.g., filenames and URLs 2. You don't have to print an f-string; you can store it. 3. Don't overuse them! I see people writing print(f'{x}') when they can say print(x)

🚀 Calculating Time Differences with Timedelta (Python) You can calculate the difference between two `datetime` objects by subtracting one from the other. The result is a `timedelta` object representing the duration between the two points in time. This is useful for measuring elapsed time, calculating deadlines, or determining the length of events. Ensure both `datetime` objects are timezone-aware or naive to avoid incorrect results. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Generators: Memory-Efficient Iteration (Python) Generators are a special type of function that allows you to create iterators in a memory-efficient way. Instead of returning a list of values, generators yield values one at a time using the `yield` keyword. This is particularly useful when dealing with large datasets, as it avoids loading the entire dataset into memory. Generators can be implemented using either generator functions (using `yield`) or generator expressions (similar to list comprehensions but with parentheses). Generators are essential for optimizing memory usage and improving performance in data processing applications. #Python #PythonDev #DataScience #WebDev #professional #career #development

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

🚀 Dictionaries (Python) Dictionaries are unordered collections of key-value pairs. They are defined using curly braces `{}`. Keys must be unique and immutable (e.g., strings, numbers, or tuples). Values can be of any data type. Dictionaries are useful for storing and retrieving data based on a key. #Python #PythonDev #DataScience #WebDev #professional #career #development

🐍 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

Interviewer: An OTP is valid for 60 seconds, but the server never stores it. How does it verify a code it doesn’t even 'know'? #developers #ai #otp #authentication #flutter #js #python

Most developers think generators are just about saving memory. That’s true, but it misses the more interesting part. Generators give you control over when work happens. Nothing runs until the next value is requested. That small detail changes how you design data flows, especially when you’re dealing with streams, pipelines, or external systems. In this week’s video, I show how generators act as small state machines, how to build clean data pipelines with them, and how features like `send()` and async generators extend that model even further. If you want to get better at designing data flows in Python, this is worth understanding properly. 👉 Watch the full video here: https://lnkd.in/eztrHhmx. #python #softwaredesign #cleancode #generators #developers #arjancodes