Opting for C over Python for Neural Network Development

Today I studied Python List Methods — essential tools for handling and modifying data efficiently. Understanding methods like append(), insert(), pop(), reverse(), and clear() helps in writing cleaner and more structured code. I’m focusing on strengthening my basics before moving into advanced topics like backend development and AI. Learning from AI, implementing in VS Code, and documenting everything to build long-term clarity. Consistency > shortcuts. If you’re also learning Python, let’s connect and grow together. #python #codingjourney #bscs #backenddevelopment #learninpublic #100daysofcode #programming #techstudents #futuredeveloper

𝗠𝗼𝘀𝘁 𝗯𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀 𝘀𝗸𝗶𝗽 𝘁𝗵𝗶𝘀... And that’s why they struggle with Python later. 🐍 Everyone wants to build AI, apps, automation… But few actually master the basics. In Part 2 of Python – Made Simple 🐍, I covered: ✔ 𝘝𝘢𝘳𝘪𝘢𝘣𝘭𝘦𝘴 ✔ 𝘋𝘢𝘵𝘢 𝘛𝘺𝘱𝘦𝘴 ✔ 𝘐𝘯𝘥𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 (𝘮𝘰𝘴𝘵 𝘪𝘨𝘯𝘰𝘳𝘦𝘥, 𝘮𝘰𝘴𝘵 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵) ✔ 𝘱𝘳𝘪𝘯𝘵() ✔ 𝘊𝘰𝘮𝘮𝘦𝘯𝘵𝘴 ✔ 𝘠𝘰𝘶𝘳 𝘧𝘪𝘳𝘴𝘵 𝘪𝘯𝘵𝘦𝘳𝘢𝘤𝘵𝘪𝘷𝘦 𝘱𝘳𝘰𝘨𝘳𝘢𝘮 Here’s the truth 👇 Indentation is not formatting. It is structure. In Python, spaces control logic. If your foundation is strong, everything else becomes easier - loops, functions, projects, even AI. Most beginners rush. Smart developers build fundamentals. If you're starting Python in 2026, start correctly Hashtags #Python #Developer #PythonProgramming #LearnPython #Programming #Coding #Developers #SoftwareDevelopment #TechCareers #BeginnerDeveloper #100DaysOfCode #ComputerScience #CodingJourney

Learning Python is not just about writing code. It’s about learning how to think logically. When you start programming, you realize something quickly: computers only understand clarity, structure, and logic. No shortcuts. No confusion. That’s why Python is one of the best languages for beginners entering the tech world. Simple syntax. Powerful ecosystem. Endless possibilities. From automation to AI, Python is quietly powering the future. Every small script you write today is a step toward becoming a better problem solver. Keep learning. Keep building. #Python #Programming #TechCareer #LearningToCode #ITProfessionals

𝗣𝘆𝘁𝗵𝗼𝗻 - 𝗠𝗮𝗱𝗲 𝗦𝗶𝗺𝗽𝗹𝗲 🐍 Everyone uses Python. But very few know its story. In this carousel, you’ll discover:  • Why Guido created Python in 1991  • Why it’s NOT named after a snake  • The philosophy that shaped modern programming  • The controversial GIL decision  • Why Python dominates AI today Python didn’t win because it’s the fastest. It won because it made developers happier. That decision reshaped the tech industry. 📌 Save this if you’re learning Python 🚀 Follow for Part 2 - Python Basics 💬 Be honest: Did you know about the GIL before this? Hashtags : #Python #Programming #Coding #SoftwareDevelopment #PythonDeveloper #LearnToCode #TechCareers #AIEngineering #PythonCommunity #DeveloperMindset #ProgrammingPhilosophy

Sometimes a small detail in Python can change the entire result. Consider this function: def func(a, b=2, c=3):   return a + b * c When we call: func(2, c=4) Python assigns the values as follows: a = 2 b = 2 (default value) c = 4 (overridden using a keyword argument) The calculation becomes: 2 + 2 * 4 = 10 This simple example highlights two important Python concepts: • Default Parameters • Keyword Arguments Understanding how Python assigns values to parameters can help you write clearer and more flexible functions. Small concepts like this are what make Python both powerful and elegant. #Python #Programming #Coding #DataScience #AI #SoftwareDevelopment #MachineLearning #Instant

One of the cleanest features in Python is List Comprehension 👨💻 ▪️Instead of writing: numbers = [ ] for x in range(5): numbers.append(x**2) ▪️You can simply write: numbers = [ x**2 for x in range(5) ] 🔸Less code. 🔸Better readability. 🔸More Pythonic. Small improvements like this make a big difference in writing clean code. #Python #Programming #CleanCode #AI #Learning

🔁 Polymorphism in Python – One Method, Many Behaviors (OOPS Explained Simply) 🐍 Polymorphism allows the same function to behave differently depending on the object calling it. This visual shows it clearly 👇 ✔ Parent class defines a common interface ✔ Child classes override or extend behavior ✔ Same method call → different outputs ✔ Clean, flexible & scalable code design 💡 Why developers love polymorphism: • Reduces complex conditional logic • Makes systems easier to extend • Improves code readability In real projects, this is how frameworks and APIs are built. 📌 Save this for revision 🔁 Repost to help Python learners 💬 Comment OOPS for the next concept #Python #OOPS #Polymorphism #PythonProgramming #LearnPython #CodingConcepts #SoftwareDeveloper #DeveloperJourney #ITStudents #TechSkills #ObjectOrientedProgramming #CodingLife #ProgrammingBasics

🚀 Day 8 – Exploring Polymorphism & Encapsulation in Python (OOP) Today I focused on two essential Object-Oriented Programming concepts in Python — Encapsulation and Polymorphism. I studied these concepts using the following references: • Encapsulation: https://lnkd.in/esMD32W8 • Polymorphism: https://lnkd.in/eyefBU3e What I learned: 🔹 Encapsulation — wrapping data and methods together, and controlling access to internal class attributes to protect data integrity. 🔹 Polymorphism — the ability to use the same interface or method name across different classes, letting objects behave in multiple ways while using a unified interface. Understanding these helps in writing code that is: • more modular • flexible • easier to maintain These topics are key building blocks in writing scalable and robust Python applications. Step by step — strengthening OOP fundamentals! #DataEngineering #Python #AI #NewCareer #SelfLearning #OOP #Encapsulation #Polymorphism

Learning Python has been a lesson in humility and a masterclass in "Aha!" moments. 💡 In the beginning, it was all SyntaxError: invalid syntax and staring at indentation until my eyes crossed. It felt like trying to read a book where I only knew the punctuation. But then, something shifted. There’s a specific kind of magic that happens when you’re typing and you can actually feel the logic flowing. You hit "Run," and for the first time, the result on the screen matches the vision in your head perfectly. That bridge between thought and execution? That’s the addiction. Coding has turned me from a consumer of technology into a creator of it. Python’s clean lines have made the journey worth every debug session. Onward to the next function! 🐍💻 #Python #CodingJourney #TechLearning #BuildInPublic #SoftwareDevelopment

🚀 Mastering Array Problems in Python – My Practice Journey Recently, I practiced multiple fundamental array problems in Python to strengthen my problem-solving basics. Here’s what I worked on: 🔹 Rotating an array (Left & Right rotation using reversal algorithm) 🔹 Calculating the sum of elements 🔹 Finding the smallest and largest elements 🔹 Finding second smallest and second largest elements 🔹 Reversing an array (both slicing & two-pointer approach) 🔹 Counting frequency of elements using dictionary 🔹 Rearranging array in increasing–decreasing order 🔹 Searching an element (Linear Search) 🔹 Checking if one array is a subset of another (Binary Search approach) 💡 Key Learnings: • Understanding the difference between index-based loops and element-based loops is crucial. • Two-pointer technique makes reversing efficient and clean. • Reversal algorithm is powerful for rotation problems. • Using dictionaries simplifies frequency counting. • Binary Search significantly improves performance for subset checking. • Edge cases (duplicates, small array size) always matter. Practicing these foundational problems improves logical thinking and builds confidence for interviews and competitive coding. Small steps. Consistent practice. Big growth. 💻✨ #Python #DataStructures #Arrays #CodingPractice #ProblemSolving #100DaysOfCode