Python Fundamentals and DSA Practice

🚀Day 65 | Lambda Functions & Functional Programming Today I practiced Python lambda functions and their real-time usage - What I Worked On: •Created lambda function to find square of a number •Used lambda with sum() to calculate total of list elements •Applied sorted() with lambda to sort tuples based on index •Used math.sqrt() with lambda for square root calculation •Built lambda for adding two numbers 💡Key Learning: •Lambda functions help write short and clean code •Useful for one-line operations and quick logic •Powerful when combined with functions like sorted(), map() 👉🏻Small concepts like lambda can make code more efficient and readable Consistency is turning basics into strength #Day65 #Python #LambdaFunctions #FunctionalProgramming #ProblemSolving #CodingJourney #10000Coders #PythonDeveloper #SravanKumarSir

Over the past few weeks, I’ve been diving deep into Python and strengthening my programming fundamentals 🚀 Here’s a quick snapshot of what I’ve been working on: Python basics and core syntax Data structures (lists, tuples, sets, dictionaries) Loops and loop control statements Built-in functions for cleaner and efficient code List and dictionary comprehensions for writing more concise and readable logic It’s been a great learning experience moving from understanding concepts to actually applying them in practice. Comprehensions, in particular, have completely changed how I approach writing cleaner code! Still a long way to go, but I’m enjoying the process of building consistency and problem-solving skills every day. Looking forward to exploring more advanced topics and working on real-world projects soon! #Python #LearningJourney #Programming #DataAnalytics #Coding #BeginnerToPro

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 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 8 of Learning Python — and things are getting real! Today's lab was all about writing code that doesn't break (or at least fails gracefully 😄). Here's what I worked through: ✅ Exception Handling — try / except / else / finally • Caught ZeroDivisionError, FileNotFoundError, ValueError, and TypeError • Used `raise` to throw custom error messages • Built my own exception class: TooSmallError 🎉 ✅ Standard library deep dive: • math — calculated circle areas, factorials, GCD, and compound interest • random — shuffled lists, simulated 1000 coin flips, generated reproducible sequences with seed() • datetime — parsed date strings, added time deltas, sorted ISO dates, and printed 5-day schedules ✅ Introspection with dir() and help() The biggest lesson today? Real-life programs don't always get perfect input. Learning to handle errors gracefully is just as important as writing the happy path. Day by day, the pieces are coming together. 💪 #Python #100DaysOfCode #LearningToCode #PythonProgramming #CodingJourney #Day8

Today I focused on understanding one of the most important concepts in Python — Loops 🐍 I learned how loops help in repeating tasks efficiently and make code more powerful. 🔹 Topics Covered: ✔️ for loop and while loop ✔️ Using range() (start, stop, step) ✔️ Iterating over strings and lists ✔️ Nested loops ✔️ Control statements: break, continue, pass 📚 Practice I Did: Factorial without built-in functions Reverse a number using while loop Pattern printing Logical problems using loops 💡 My Learning: Loops are not just syntax — they help in building logic and problem-solving skills, which are essential in programming. Small steps every day → Strong foundation 🚀 👉 Which one do you prefer — for loop or while loop? Let’s connect if you're also learning Python 🤝 #Python #PythonProgramming #CodingPractice #LearnToCode #DeveloperJourney #100DaysOfCode #ComputerScience #ProgrammingBasics #LogicBuilding

Stuck in tutorial hell? 🐍 The best way to actually master #Python is to build #projects that challenge your current level. Here are 12 #project ideas to help you level up: 🟢 #Easy: Focus on logic and basic syntax with a URL Shortener or a CLI Utility. 🟡 #Mid: Build real-world logic with a Weather App or a Blog Application. 🔴 #Pro: Dive into advanced tech like Image Recognition or AI Chatbots. Best practice? Don't just follow a tutorial add one custom feature of your own to make it unique! 💡 💾 Save this roadmap for your next coding session! 👇 Comment which project you’re going to build next. Follow for more Python & Data Science tips 🚀 #Python #Coding #DataScience #ProjectIdeas #Programming #PythonLearning #TechCareer

🚀 Day 81 – Mastering Date & Time in Python ⏰📅 Today’s learning journey was all about the datetime module — one of Python’s most practical tools for handling real‑world scenarios involving dates and times. 🔹 Current Date & Time – Practiced fetching the present moment with datetime.now(), a powerful way to anchor programs in real‑time. 🔹 Modification – Explored how to adjust dates and times, making it possible to calculate future or past events with ease. 🔹 Formatting with strftime – Learned how to present date and time in human‑friendly formats, turning raw data into readable output. 🔹 Parsing with strptime – Understood how to convert strings into datetime objects, bridging user input with program logic. 🔹 timedelta Magic – Discovered how to perform arithmetic on dates and times, enabling countdowns, schedules, and reminders. 🔹 Alarm Task – Applied these concepts to build a simple alarm, reinforcing how datetime can power real‑life applications. 🌱 Reflection – Working with time isn’t just technical; it’s about making programs responsive to the world around us. From reminders to logs, datetime is the backbone of time‑aware applications. ✨ Grateful to Ajay Miryala sir and the 10000 Coders team for guiding me through another essential building block in Python. ⚡ Day 81 was about turning abstract concepts into practical tools — learning to control time itself in code! #Day81 #PythonLearning #Datetime #CodingJourney #10000Coders #LearnInPublic #100DaysOfCode

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