Gouse Basha Shaik’s Post

📊 Struggling with limits in Python? SymPy makes it easier than you think. Whether you're calculating the slope of a tangent or understanding how sequences behave as they grow infinitely large, the concept of limits is central to calculus—and SymPy handles it all with elegant simplicity. In this blog post, you’ll learn how to: 🔢 Use limit() to evaluate sequences and functions 🔢 Apply limits to real calculus use cases like derivatives 🔢 Work with symbolic expressions 🔢 Calculate differential quotients with just a few lines of Python From infinite series to hyperbolic functions, it’s all covered—backed by real examples and clear code. #Python #SymPy #SymbolicMath #Calculus #RheinwerkComputingBlog #Limits 📖 Read here: https://hubs.la/Q03SqtvH0

Python 3.14 is here—and it’s a game changer. It quietly transforms how we code every day. From lazy annotations that simplify large systems, to t-strings for safer string handling, and the long-awaited removal of the GIL for true multi-core performance—Python 3.14 sets the foundation for a faster, cleaner, and more scalable future. Plus, with a smarter REPL, real-time debugging, and dozens of small quality-of-life updates, coding feels smoother than ever. Ready to level up? 👉 Get Started with Python for Free ~ https://lnkd.in/e3CgBWy2 🧠 Join Our Python Newsletter with 9k+ Readers: https://www.thenerdnook.io #Zerotoknowing #Python #programming

📌 Day 12 of My #50DaysOfPython Challenge 🐍 🔹 Task: Reverse the Words in a Sentence Today’s challenge helped me explore string manipulation in a practical way — by reversing the order of words in a sentence! This exercise was simple yet powerful for understanding how strings and lists interact in Python. 🧠 What I Learned: How .split() divides a sentence into words How slicing [::-1] can reverse lists efficiently How ' '.join() combines a list back into a string The importance of clean, readable one-line logic in Python 🧪 Example: Input: I love Python programming Output: programming Python love I Each day, I’m realizing how Python turns logical ideas into elegant solutions ✨ Excited for the next challenge! 🚀 #Python #CodingChallenge #Programming #50DaysOfPython #ProblemSolving #CodeNewbie #LearningJourney

📘 Day 23 of My #50DaysOfPython Challenge 🐍 ✅ Task: Count Even and Odd Numbers in a List Today's task was a simple and beginner-friendly exercise, but it helped me revisit some core Python concepts like loops, conditions, and modular arithmetic. 🔍 What I practiced today: 🔸 Using % to check if a number is even or odd 🔸 Looping through a list 🔸 Maintaining counters 🔸 Writing clean and readable code 🧪 Example: If the input is: 1 2 3 4 5 The output will be: Even numbers: 2 Odd numbers: 3 💡 Key takeaway: Small tasks like this strengthen logical thinking and help build a strong coding foundation. Every day, every line of code adds up! 💻✨ #Python #CodingChallenge #50DaysOfPython #CodingPractice #LearnByDoing #CodingJourney

Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/evzGVC_A #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes

Day 44 – Built-in Modules You Should Know Why reinvent the wheel when Python already gives you the best tools? 🧰 Here are some must-know built-in modules that make life easier: import math, random, datetime print(math.sqrt(16)) # 4.0 print(random.randint(1, 10))# Random number print(datetime.datetime.now()) # Current date & time 🔹 math → Mathematical functions 🔹 random → Random number generation 🔹 datetime → Date & time handling Explore the standard library — you’ll be amazed at what’s already built in. 👉 What’s your favorite built-in Python module? #Python #Coding #100DaysOfCode #PythonModules

Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/eQUHiyyy #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes

Hello, everyone 👋 Welcome to Day 7 of my #30DaysOfPython journey! 🚀 Today, I explored one of the most powerful concepts in Python — Loops! 🐍 Loops are used to repeat a block of code multiple times, making our programs more efficient and easier to manage. Python provides two main types of loops : 🔹 for loop — used when we know how many times we want to repeat. 🔹 while loop — used when we want to repeat code until a condition becomes False. I also learned about loop control statements like break, continue, and pass which help manage how loops behave. Learning loops is an important step to write dynamic and smart programs! 💡💻 LogicWhile #Day7 #Python #LearnPython #PythonBasics #PythonLoops #ForLoop #WhileLoop #InfiniteLoop #CodingJourney #PythonProgramming #ProgrammingBasics #TechLearning #Developers #CodeEveryday #KeepLearning #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode #PythonForBeginners

💻 Exploring Python’s zip() Function! 🐍 In this snippet, I used the zip() function to combine multiple lists — names, marks, and departments — into a single dictionary. It’s a simple yet powerful way to handle grouped data efficiently. 📘 Concepts used: ➡️ zip() function ➡️ Type conversion using dict() ➡️ Nested zipping for multiple lists Always fun to see how Python makes data handling so elegant and readable! ✨ #Python #Coding #Programming #Learning #DataHandling #zipfunction @10000coders @batula venkata narayana