"New Python Course by Tim Buchalka and JP Roberts"

🚀 Master Python List Operations in Minutes! 🐍 I’ve just uploaded a new YouTube video where I break down 10 essential Python list operations — perfect for beginners looking to strengthen their programming foundation. 💻 📘 What you’ll learn: ✅ Accessing elements in a list ✅ Checking if a list is empty ✅ Working with nested lists ✅ Reversing and slicing lists ✅ Flattening nested lists … and much more! 🎥 Watch here 👉 [https://lnkd.in/gpnNxwQ5] If you’re starting your Python journey, this is a great way to practice and understand how lists really work. Let’s grow together in our coding journey! 🌱 💬 Share your thoughts or favorite list operation in the comments! #Python #Programming #PythonForBeginners #Coding #LearnPython #DataScience #SoftwareDevelopment #AI #TechLearning #Python #LearnToCode #PythonBasics #Programming #TypeCasting #InputFunction #ArithmeticOperations #PythonForBeginners #YouTubeTutorial #Developer #ddwpofficial

💻 Day 31 of #100DaysLearningChallenge by #Saurabh_Shukla Sir 📚 Learning Topic: Creating & Using C Shared Libraries in Python (ctypes) 🧠 What I Learned Today: Such a great thing learn Today, I went deeper into Python + C integration by creating a C shared library (.so / .dll) and calling it directly from Python using the ctypes module. This allows Python to run performance-critical logic at C speed, while still keeping the rest of the code clean and readable. 💡 Concepts Covered: 👉 Writing a C function for computation 👉 Compiling C code as a shared library (gcc -shared, .dll, .so) 👉 Loading the library in Python using ctypes.CDLL() 👉 Defining argument and return types in Python 👉 Executing the C function directly inside Python code ⚙️ Key Takeaways: ✅ Shared libraries allow Python to call C functions without running external executables ✅ ctypes is built-in — no extra dependencies ✅ Use basic C data types (int, double, pointers) for smooth compatibility ✅ Great for math-heavy, loop-heavy, and time-sensitive tasks ✅ Perfect balance between productivity (Python) and performance (C) 💡 Insight: Instead of rewriting entire applications in C, we can just move the slow parts — and instantly get huge speed improvements. Python remains the driver, C becomes the engine. 🚀 🔗 GitHub Source Code: https://lnkd.in/gmjGxiyQ 🔥 Hashtags: #python #cprogramming #ctypes #pythonwithc #sharedlibraries #highperformancecomputing #systemprogramming #performanceoptimization #backenddevelopment #learninpublic #developerscommunity #codingjourney #techskills #Day31Done #100DaysLearningChallenge

🚀 Master Python with These Essential Code Snippets! 🐍 Whether you're just starting your Python journey or looking to level up your skills, I've got something special for you! This comprehensive Python Code Snippets Guide covers everything from basic syntax to advanced concepts — all designed to make coding more efficient, fun, and practical. 📘 Inside the PDF, you'll find: ✅ Clean, ready-to-use code examples ✅ Core concepts explained with clarity ✅ Advanced techniques to supercharge your projects Let’s make learning Python simple, structured, and smart! Durgesh Yadav 🇮🇳 is Mentoring me in this! 📩 Download your copy and start mastering Python today. 🔁 Repost to help your network grow 🤝 #Python #DataEngineer #Pandas #Jupyter #Programming #Learning #Coding #DataScience #PythonDeveloper

💻 Day 30 of #100DaysLearningChallenge by Saurabh Shukla Sir 📚 Learning Topic: Integrating Python with C for Speed 🧠 What I Learned Today: Today, I explored how to call fast, compiled C code from Python — combining Python simplicity with C’s performance. I practiced two practical methods: subprocess → Running compiled C executables and capturing their output in Python 💡 Concepts Covered: 👉 Why and when to mix Python + C (heavy computation, performance-critical tasks) 👉 Writing & compiling a C function 👉 Calling C functions in Python using ctypes 👉 Running C executables using subprocess and parsing results ⚙️ Key Takeaways: ✅ Keep C functions simple — use basic types (int, double, pointers) ✅ subprocess.run() works great for integrating existing C tools ✅ Make sure Python & C compiler architectures match (32-bit/64-bit) ✅ Moving performance-heavy logic to C can significantly boost speed 💡 Insight: Bridging Python with C lets you prototype fast and run faster — achieving the best balance between developer productivity and execution performance. GitHub: https://lnkd.in/gykf7b3F 🔥 Hashtags: #python #clang #cprogramming #pythonwithc #ctypes #subprocess #highperformancecomputing #codeoptimization #backenddevelopment #systemsprogramming #learninpublic #developerscommunity #webdevelopment #codingjourney #techskills #100DaysLearningChallenge #Day30Done

🚀 Master Python Like a Pro — From Basics to Brilliance! 🐍 I recently went through a detailed Python Programming Notes guide that covers everything — from keywords, variables, strings, loops, data structures to sets, tuples, and dictionaries. This isn’t just another tutorial — it’s a step-by-step Python journey written in a Jupyter-style format, full of practical code snippets and real examples 💡 If you’re a: ✅ Beginner who wants to learn Python the right way ✅ Developer brushing up core concepts ✅ Data Science or Automation enthusiast Then trust me — this file is your go-to reference! 🔥 💾 I’m sharing my personal Python learning material titled “Python Programming Notes 📘” — it’s structured, visual, and beginner-friendly. #Python #Coding #Learning #Developers #Programming #JupyterNotebook #MachineLearning #DataScience #AI #Education #Students #TechCommunity #PythonTips

🚀 Master Python Like a Pro — From Basics to Brilliance! 🐍 I recently went through a detailed Python Programming Notes guide that covers everything — from keywords, variables, strings, loops, data structures to sets, tuples, and dictionaries. This isn’t just another tutorial — it’s a step-by-step Python journey written in a Jupyter-style format, full of practical code snippets and real examples 💡 If you’re a: ✅ Beginner who wants to learn Python the right way ✅ Developer brushing up core concepts ✅ Data Science or Automation enthusiast Then trust me — this file is your go-to reference! 🔥 💾 I’m sharing my personal Python learning material titled “Python Programming Notes 📘” — it’s structured, visual, and beginner-friendly. #Python #Coding #Learning #Developers #Programming #JupyterNotebook #MachineLearning #DataScience #AI #Education #Students #TechCommunity #PythonTips

📘 Day 09 – Python Practice: Mastering List Operations 📘 Continuing my #100DaysOfCode journey, today I focused on strengthening my understanding of Python Lists — one of the most fundamental data structures. 🔹 Problem 1 – Managing Students • Used append() and insert() to build and update a student list dynamically. 🔹 Problem 2 – Removing Numbers • Practiced remove() and pop() methods to manipulate lists safely. 🔹 Problem 3 – Slicing & Iteration • Sliced a list to get specific elements and used enumerate() to iterate with indices. 🚀 These bite-sized exercises are helping me write cleaner, more efficient Python code and build muscle memory for day-to-day programming tasks. 🧠 Key Concepts Practiced: List Manipulation Slicing & Indexing Iterative Processing On to Day 10! #Python #100DaysOfCode #WomenWhoCode #DevInProgress #PythonLists #CodeNewbie #LearnToCode #DailyCoding #Day09 #ListMethods #BeginnerToPro

💻 Introduction to Python from Zero 🐍 Hey everyone 👋 I’m Amrutha, and I’m super excited to welcome you all to my new series — Python from Zero 💻🔥 This isn’t just another tutorial — it’s a journey where we’ll start from the basics of Python and grow step by step, learning, coding, and building confidence together 💪 Whether you’re a beginner or brushing up your skills, this series is for you 🌱 ✨ What to Expect ✅ Easy explanations of Python concepts. ✅ Step-by-step coding demos. ✅ Daily practice questions. ✅ Real-world mini challenges. We’ll begin with: 💻 Installing Python on Windows and Mac. 💡 Learning Python features. 🧩 Writing your first program. 📊 Working with variables and data types. My goal is to make Python learning simple, fun, and consistent — because coding isn’t about memorizing syntax, it’s about thinking creatively and solving problems 💫 Get ready to start your Python journey — one day, one topic, one step at a time 🚀 Let’s turn curiosity into code 🐍 #PythonFromZero #LearnWithAmrutha #PythonChallenge #CodeEveryday #PythonBasics #CodingJourney #AmruthaLearns #PythonSeries

🚀 Day 2 of My “Learn Python Series” 💻 Today, we’re diving into one of the most essential topics in Python — Comments, Variables, and Data Types. Whether you’re just starting your coding journey or brushing up on your fundamentals, understanding these basics will help you write cleaner, more efficient, and more readable code. 🧠 📘 What you’ll learn: ✅ How to write comments in Python (single-line & multi-line) ✅ What are variables and how to name them correctly ✅ Core Python data types — int, float, str, bool, list, tuple, dict ✅ Real-world examples for better understanding 💡 Takeaway: Strong foundations make strong coders. Master the basics before you move to advanced topics! 👋 Let’s grow together — If you’re learning Python too, share your progress in the comments! #Day2 #LearnPythonTogether --- 🏷️ Hashtags #Python #LearnPython #PythonForBeginners #Programming #Coding #TechLearning #DataScience #SoftwareDevelopment #PythonTutorial #Upskill #LinkedInLearning #CodeNewbie #PythonDataTypes #VariablesInPython #PythonBasics --- ⚠️ Disclaimer This post is for educational and informational purposes only. All examples are simplified for beginner learning. Keep coding ethically, stay curious, and keep learning! 💻

💻 Brushing Up on OOP Concepts in Python Day 1/7 — Classes, Objects, and Constructors While watching a recent Object-Oriented Programming (OOP) session from the CampusX DSMP program, a few core Python OOP concepts really clicked for me 👇 🔹 In Python, everything — list, int, float, set — is actually a built-in class, and every variable we create is an object of that class. 🔹 A class is a blueprint that defines how its objects will behave. 🔹 Inside a class, we define: 1️⃣ Attributes (Data/Properties) — e.g., course fee, instructor, curriculum 2️⃣ Functions (Behaviors/Methods) — e.g., how live sessions are conducted 🔹 An object is an instance of a class — it’s what brings the class to life. 🔹 The constructor (__init__) is a magic method in Python that runs automatically when an object is created. It usually contains initialization or configuration code, which sets up the object’s state without requiring user input. To put my learning into practice, I created a Python ATM program using classes and objects 💳 It lets users create a PIN, check their balance, change PINs, and withdraw money. (Sharing a code snippet from my notebook 👇) Learning OOP in Python this way completely changed how I view programming — it’s not just about writing functions anymore; it’s about designing systems that think, act, and evolve. Excited to share Day 2/7 tomorrow! 🚀 #Python #OOP #ObjectOrientedProgramming #CampusX #DSMP #PythonProgramming #LearningJourney #CodeBetter #100DaysOfCode