How to get integer results from division in Python

Python String Slicing 🐍 The most important rule for variable[start:stop]1: start: IS included2. stop: is NOT included3. 3 key patterns: variable[start:stop] ➔ Grabs a middle section. "HELLO PYTHON"[0:5] gives HELLO 4 variable[start:] ➔ Grabs from start to the end. "HELLO PYTHON"[6:] gives PYTHON 5 variable[:stop] ➔ Grabs from the beginning to stop. "HELLO PYTHON"[:5] gives HELLO 6 Bonus Tip: Use [start:stop:step] to "jump" #Python #Programming #PythonTips #Coding

7 Must-Know Dictionary Methods in Python: 1️⃣ get() — Safely access a key without KeyError. 2️⃣ update() — Merge or add key-value pair. 3️⃣ items() — Iterate over key-value pair. 4️⃣ setdefault() — Add a key only if it doesn’t exist. 5️⃣ pop() — Remove and return an item by key. 6️⃣ fromkeys() — Create a new dict from a list of keys. 7️⃣ popitem() — Remove the last inserted key-value pair. #Python #PythonProgramming #Coding #Developers #LearnPython

🔹 What is return in Python? In Python, the keyword return is used inside a function to send a value back to the place where the function was called. When a function executes a return statement: It stops running immediately It sends the value written after return back to the caller 🔹 Example: def add(a, b): return a + b result = add(5, 3) print(result) # Output: 8 ✅ The return keyword sends back the result of a + b. If you don’t use return, Python automatically returns None. 🔹 In short: Situation What happens return value Function gives that value back return (nothing) Function ends, returns None No return Function ends, returns None automatically 💡 Tip: return is used to give a result back from a function, while print() is used only to display output on the screen. #Python #DataScience #LearningPython #CodingJourney #Abdurrahman

Lambda Functions in Python 🐍 Recently, I explored how lambda functions can be combined with Python’s powerful built-ins like map(), filter(), sorted(), and reduce() — and it’s amazing how concise and expressive the code becomes! 💡 What are lambda functions? They’re small, anonymous functions that let you write quick one-liners without defining a full function using def. Perfect for short, functional-style logic. Here’s what I tried out: ✅ map() — transform every element (e.g., square numbers) ✅ filter() — pick only the elements that meet a condition (e.g., even numbers) ✅ sorted() — sort data using a custom key (e.g., by squared value) ✅ reduce() — combine all elements into one result (e.g., sum of squares) These small tools make a big difference in writing clean, efficient, and readable Python code. If you want to practice, try combining all four in one script — you’ll instantly see how powerful functional programming can be in Python. #Python #LambdaFunctions #Coding #SoftwareDevelopment #LearningJourney

🚀 Big news for the Power Platform ecosystem! Microsoft just enabled Python execution directly within Power Platform — a massive leap for automation, analytics, and AI integration. 💡 Why it matters: For business users: This means you can now access advanced data transformation, AI, and visualization capabilities without leaving Power Apps or Power Automate. Think predictive analytics, natural language models, and data science workflows — all in one low-code environment. For developers: It bridges low-code and pro-code like never before. You can now reuse Python scripts, leverage existing libraries (Pandas, NumPy, OpenAI, etc.), and supercharge Power Platform solutions with real computation power. For organizations: Expect faster innovation, less dependency on external pipelines, and more value extracted from your data — directly within Microsoft’s governance and security layer. This is the convergence of low-code + pro-code + AI, and it’s going to reshape how we build and automate business solutions. 🔥 #PowerPlatform #Python #AI #Automation #DataScience #LowCode

Day 41 – Scope in Python: Local vs Global Variables Ever got a “NameError” and wondered why Python couldn’t find your variable? 🤔 It’s all about Scope — where a variable lives and breathes. x = 10 # Global variable def show(): x = 5 # Local variable print("Inside function:", x) show() print("Outside function:", x) 🧩 Output: Inside function: 5 Outside function: 10 ➡️ Local variables exist only inside the function. ➡️ Global variables exist everywhere. Use them wisely — globals are powerful but can cause confusion if overused. 👉 Tip: Prefer local scope for clean and bug-free code. #Python #Coding #Learning #100DaysOfCode #PythonTips

🐍📺 In this tutorial series you'll do a deep dive on how Python's to-string conversion using the __repr__ and __str__ "magic methods" works and how you can add implement them #python

Python Trick of the Day! 🐍 Let’s test your Python knowledge 👇 👉 What will be the output of this code? result = min(0.0, -0.0) print(result) At first glance, both 0.0 and -0.0 look identical… right? But Python’s floating-point arithmetic has a twist! 😯 💡 Hint: In IEEE 754 floating-point representation, -0.0 actually exists and is considered less than 0.0. ✅ So, the output will be: -0.0 📘 Concept takeaway: Even though 0.0 == -0.0 evaluates to True, they can behave differently in comparisons and certain mathematical operations. 🔹 These subtle details make Python fascinating and powerful to master! 🔹 Keep exploring small concepts — they often lead to deep understanding. #Python #Programming #Learning #Developers #CodingChallenge #PythonTips #DataScience #MachineLearning #AliAhmad #CodeWithAli

🚀 Python 3.14 introduces “t-strings” and here’s why they matter! If you’ve ever used f-strings in Python (f"Hello {name}"), you already know how convenient they are for string interpolation. But in Python 3.14, there’s a new player: t-strings (t"Hello {name}"). So, what’s the difference? 💡 f-strings: - Evaluate immediately at runtime. - Produce a regular string (str). - Great for logs, messages, and anything that’s safe to interpolate directly. 💡t-strings: - Introduced in Python 3.14. - Create a Template object instead of a plain string. - Interpolation happens later, when you explicitly substitute data. more details: https://lnkd.in/eQyTB_kQ #Python #Python314 #Programming

💡 Confusing Yet Powerful Python String Methods Simplified! Ever been confused between capitalize() and title()? Or wondered what casefold() actually does differently from lower()? 😅 I’ve put together a quick cheat sheet of Python string methods that often trip people up complete with examples and outputs! Perfect for beginners and anyone brushing up for interviews or projects. 🚀 #Python #Coding #DataScience #PythonTips #LearnPython #Programming #PythonDeveloper #CodeNewbie #WomenInTech #MachineLearning #CheatSheet #PythonStringMethods #DataAnalyst #Developers #TechLearning