𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

I’ve put together a quick reference guide covering essential Python Dictionary and Set methods! 🐍 Whether you are just starting out with Python or need a quick refresher, this document walks through everything from basic dictionary operations like .get() and .update(), to mathematical set operations like .intersection() and .symmetric_difference(). It includes brief explanations and simple code snippets for each method to help you write cleaner, more efficient code. Check out the document below, and let me know your favorite or most-used method in the comments! 👇 #Python #Programming #Coding #DataStructures #PythonDeveloper #Cheatsheet

Week 3 of #100DaysOfCode — done! 🎉 This week I started thinking in objects. Topics covered: 🧱 Classes & Objects → What OOP actually is (and why it matters) → Classes, instances, attributes, methods → public, _protected, and __private attributes → __init__, self, and how Python works under the hood 🔒 Properties → @property — the Pythonic way to write getters & setters → No more get_age() / set_age() — just person.age ✅ ⚙️ More Classes → __str__ vs __repr__ — and why both matter → Class attributes vs instance attributes → @classmethod and @staticmethod → __dict__, getattr, dynamic attributes I’ve structured my learning into notes and practical examples to better understand the concepts : https://lnkd.in/epaBymnJ 21 days down. 79 to go. 💻 #100DaysOfCode #Python #LearningInPublic #Programming

🚀 Week 2 — DSA + System Design This week I focused on making my basics stronger. 📚 DSA (C++ & Python): • Practiced Arrays again • Worked more on Time & Space Complexity • Learned Binary Search and solved different types of problems • Solved around 30–35 questions 🏗️ System Design (LLD): • Revised OOP concepts • Practiced writing cleaner and better structured code ❌ Challenges: Binary Search was confusing in different problems Applying time complexity in real questions was not easy 💡 Realization: Now I’m starting to understand when to use which approach 🎯 Week 3 Goal: Start Linked List and Recursion Staying consistent. Chandan Kumar #DSA #SystemDesign #BuildInPublic #LearningInPublic

🚀 Day 16/30 – Python Challenge Exploring file handling in Python in more depth! 🐍📂 🔹 Key Concepts Covered: * File operations: read and write * File modes ("w" for writing, "r" for reading) * Managing file content programmatically * Importance of closing files after use 💻 Mini Task: Created a file, wrote custom content into it, and then read the same content back to display it in the console. 🎯 Learning Outcome: Gained a better understanding of how Python interacts with external files, which is essential for data storage, logging, and real-world applications. From basic coding to real-world concepts step by step 🚀 #Python #CodingChallenge #LearningJourney #FileHandling #BuildInPublic #StudentDeveloper #Day16

🚀 Just started diving into Learn Python the Hard Way by Zed A. Shaw—and it’s already reshaping how I approach coding. What I love is the structured, exercise-driven learning style—from basics like variables and loops to real-world concepts like APIs, data handling, and even SQL. It’s not just about reading, but doing consistently. Sometimes the “hard way” is actually the smartest way to build strong fundamentals. 💡 Are you learning Python the easy way… or the right way? #Python #Learning #DataScience #Programming #100DaysOfCode

I got tired of choosing between Python's simplicity and Rust's speed. So I stopped choosing. I've been building rmath; a high-performance math toolkit for Python with a pure Rust core, bridged through PyO3. Phase 1 just shipped. Here's what that means: 61 functions. Scalar arithmetic to 3D geometry to bit-level integer math. Not just working - standard library grade. Every function has Google-style docs, .pyi type stubs so VS Code treats it like a native library, and 100% test coverage verified against Python's own math module. The part that surprised me most? Writing Rust that feels invisible to the Python developer using it. That's the real engineering challenge; not the performance, the seamlessness. Phase 2 is next. Vectorized operations and statistics. Things are about to get faster. Have you ever built a Python extension in Rust? What broke first? #Python #Rust #PyO3 #SoftwareEngineering #OpenSource

🚀 Day 18–24 of My Python Learning Journey Over the past few days, I’ve been diving deeper into Python and strengthening my core concepts 💻 Here’s what I explored 👇 🔹 Functions & Arguments 🔹 Types of Variables (Local, Global, Nonlocal) 🔹 Lambda Functions 🔹 Map & Reduce 🔹 Floor Function 🔹 Nested Functions 🔹 Function Aliasing 🔹 Generating Random Numbers 🔹 Method Overloading in Python ✨ This phase helped me understand how Python handles functions in a powerful and flexible way. 📌 One key takeaway: Functions are not just reusable blocks — they can be treated like objects, passed around, and optimized using tools like lambda, map & reduce. I’m building consistency and focusing on strong fundamentals every day 💪 #Python #LearningJourney #100DaysOfCode #Programming #Coding #PythonBasics #DeveloperJourney

🔁 Python Revision – Tuples Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ Tuples (creation and properties) ✔️ Indexing and slicing ✔️ Immutable nature of tuples ✔️ Tuple methods (count, index) Practiced using tuples for storing fixed and ordered data, and understood how immutability can help in writing safer and more efficient code. Documented my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Learning when to use tuples vs lists for better data handling 📊 Next: functions and applying concepts to real-world problems 🚀 #Python #Revision #Tuples #Programming #DataAnalytics #LearningJourney #Coding