Implementing Binary Search in Python with O(log n) Complexity

Strings are everywhere in Python - file names, user input, APIs, data cleaning, logs. If you work with Python, these 10 string methods aren’t optional — they’re daily tools. You’ll use them for: - cleaning extra spaces. - checking file extensions. - splitting and joining data. - finding and counting characters. These methods help you write cleaner, shorter, and more readable code. If you ever forget the syntax, this one image is enough to refresh your memory. 📌 Save it — future you will thank you. #Python #LearnPython #PythonTips #Programming #Coding #SoftwareEngineering #PythonDeveloper

Day 14 of my 30 Days of Python Challenge — and today it’s all about list() ! One of the simplest yet most powerful built-in functions in Python. ✅ What I learned today: 🔹 list() converts any iterable into a list 🔹 Strings are iterable — so “abc” becomes [‘a’, ‘b’, ‘c’] 🔹 Unlike strings, lists are mutable — you can modify individual characters 🔹 You can always convert back using “”.join(chars) 💡 Why does this matter? In real-world Python, you often need to manipulate strings character by character — list() makes that clean and easy. Small function. Big impact. 💥 Still going strong on this challenge — one concept at a time! 💪 #Python #30DaysOfPython #CodingJourney #LearnPython #PythonForBeginners #Programming #TechLearning #CodeNewbie #SoftwareDevelopment #LinkedInLearning

Still writing count = count + 1? There’s a shorter way. 📈 count += 1 does the same thing — and it’s what you’ll see in almost every Python codebase. I wrote a short beginner’s guide that covers: ✅ What “update a variable” means (same name on both sides of =) ✅ The short form: +=, -=, *=, /=, %= ✅ Why += 1 is the standard for counting ✅ Bitwise compound: &=, |=, ^=, <<=, >>= ✅ Summary table + practice problems with answers ✅ Why the short form is cleaner and less error‑prone ~5 min read. Straight to the point. https://lnkd.in/gV3TBusi #Python #Programming #Coding #Beginners #LearnToCode #AugmentedAssignment #Operators #Tech #SoftwareDevelopment #CodingTips

𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐞𝐚𝐫𝐧𝐞𝐫𝐬, 𝐒𝐚𝐯𝐞 𝐓𝐡𝐢𝐬 𝐏𝐨𝐬𝐭! If you're learning Python, these small tricks will save you HOURS. 𝟏. 𝐒𝐰𝐚𝐩 𝐓𝐰𝐨 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 (𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐓𝐞𝐦𝐩 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞) a, b = b, a 𝟐. 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐚 𝐒𝐭𝐫𝐢𝐧𝐠 text = "Python" print(text[::-1]) 𝟑. 𝐑𝐞𝐦𝐨𝐯𝐞 𝐃𝐮𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐋𝐢𝐬𝐭 numbers = [1,2,2,3,4,4] unique = list(set(numbers)) 𝟒. 𝐂𝐡𝐞𝐜𝐤 𝐢𝐟 𝐚 𝐍𝐮𝐦𝐛𝐞𝐫 𝐢𝐬 𝐄𝐯𝐞𝐧 num = 10 print(num % 2 == 0) 𝟓. 𝐋𝐢𝐬𝐭 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐨𝐧 (𝐏𝐨𝐰𝐞𝐫 𝐌𝐨𝐯𝐞) squares = [x*x for x in range(10)] These are small tricks. But small tricks build strong logic. . . . #python #pythonprogramming #coding #programming #learntocode #developers #codenewbie #softwaredeveloper #techcareers #100daysofcode

Python provides: ✔ Predefined (Built-in) Functions – Already available Examples: print(), len(), type(), sum() ✔ User-Defined Functions – Created using def keyword def add(a, b): return a + b #Python #Programming #Coding #TechLearning #Functions #DeveloperJourney

When exploring a new dataset in Python, one simple command can save a lot of time: df.describe() It quickly shows key statistics for numerical columns — count, mean, standard deviation, min, max, and quartiles. Instead of manually checking distributions, this gives an instant snapshot of the data and often helps spot outliers or unusual values early in the analysis. Small habits like this make the data exploration phase much faster. #Python #DataAnalytics #MachineLearning #DataScience

Ever wondered how Python “remembers” your data? Meet the variable one of the simplest yet most powerful building blocks in programming. A variable isn’t just a name. It’s a container that stores a value, knows its type, and can change on the fly thanks to dynamic typing. Think of it like a magic box: ✅ Today it holds an integer ✅ Tomorrow a string ✅ Next week? Maybe even a list And with just a simple assignment, Python can transform your data, power expressions, and fuel algorithms all without you declaring its type upfront. Mastering variables is like unlocking the first secret level in Python. Once you understand them, everything else functions, loops, objects becomes easier. Curious to see Python variables in action? Here’s a mini challenge: x = 10 x = "Python Rocks!" print(x) #Python #DataAnalytics #ProgrammingBasics #PythonTips #DataScience #LearnPython #CodingChallenge

Python Tip — Read & Write Files the Right Way Still using open() without a context manager? Modern Python gives you a safer, cleaner way: Always use `with open(...) as f: Why? - Automatically closes the file - Prevents memory leaks - Cleaner, more readable code - Production-safe habit Small habit. Big impact. File handling isn’t just about reading and writing, it’s about writing code you can trust. FOLLOW FOR MORE PYTHON TIPS & INSIGHTS. #Python #Programming #CleanCode #Backend #SoftwareEngineering

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

Learning namespaces and decorators in Python today, and it changed the way I think about how Python organizes code. Namespaces helped me understand how Python keeps variables and functions separated to avoid conflicts. The LEGB rule (Local → Enclosing → Global → Built-in) made it much clearer how Python decides where to look for a variable. Then I explored decorators. At first they looked confusing, but they’re actually a powerful way to modify the behavior of a function without changing the function itself. For example, adding logging, timing execution, or access control becomes much cleaner with decorators. Small concepts like these make Python feel much more elegant once they click. Currently focusing on improving my fundamentals in Python and machine learning, one concept at a time. #Python #Programming #LearningInPublic #100DaysOfCode #MachineLearning