Python Dictionary Functions and Comprehension

Day 9 of #100DaysOfCode – Mastering Lists in Python 🐍 Today’s focus was completely on one powerful concept: 👉 Lists – the backbone of data handling in Python Instead of jumping between topics, I went deep into list operations and logic building 💻🧠 ✨ What I practiced today (Programs 101–115): 🔹 Core list operations ✔️ Sum, product, count of elements ✔️ Finding largest & smallest (without built-ins) ✔️ Second largest & second smallest 🔹 Logical problem solving ✔️ Count even & odd numbers ✔️ Separate positive & negative values ✔️ Find indices of elements 🔹 Real-world list handling ✔️ Remove duplicates (without set) ✔️ Reverse list using loop ✔️ Copy list manually ✔️ Rotate list 💡 Key Learning: Lists are not just collections… They are the foundation for solving real-world problems Today helped me understand: 👉 How to think without built-in shortcuts 👉 How logic works behind the scenes 🔥 The more I practice, the more confident I feel in problem solving 🙏 Special thanks to Global Quest Technologies (GQT) for continuous support and guidance throughout this journey 💬 One step closer to becoming a better developer every day Global Quest Technologies ✨ #100DaysOfCode #Day9 #Python #PythonProgramming #CodingJourney #LearnPython #DataStructures #ListsInPython #ProblemSolving #DeveloperMindset #TechSkills #SoftwareDevelopment #Consistency #GlobalQuestTechnologies #GQT

🚀 Day 7 of #30DaysOfLeetCode Challenge Continuing my consistency journey as a Python Developer, with a strong focus on Data Science! ✅ Today’s Problem: Roman to Integer 🔍 Platform: LeetCode 💡 Approach: Solved this problem using a right-to-left traversal approach. Stored Roman values in a dictionary and iterated through the string in reverse. If the current value is smaller than the previous value, it is subtracted; otherwise, it is added. 👉 Simple Explanation: We read the string from right to left. If a smaller numeral appears before a larger one (like IV), we subtract it; otherwise, we add it. This way, we can convert the entire Roman number into an integer. ⏱️ Time Complexity: O(n) 📌 Key Learning: Recognizing patterns and choosing the right traversal direction makes problem solving easier. Using a dictionary keeps the code efficient and clean! Consistency is making me better every day 🚀 #Python #DataScience #LeetCode #ProblemSolving #CodingJourney #30DaysOfCode

“Behind every smart program is a simple variable doing its job quietly.” When I began my Python journey at ACTE Technologies I underestimated the power of variables and data types. They seemed basic… almost too simple. But as I started building programs, I realized something important — how you store and handle data defines how well your code works. Integers helped me perform calculations, strings helped me communicate, and lists & dictionaries helped me organize everything like a pro. Slowly, coding stopped feeling confusing and started feeling logical. It’s amazing how mastering the basics can completely change your confidence in programming. What this taught me: • Strong basics make complex coding easier • Choosing the right data type improves performance • Clean data handling = clean code What’s one Python concept that made coding easier for you? Share below 👇🏻 Grateful to be learning and growing at ACTE Technologies #PythonLearning #CodingLife #ProgrammingJourney #DataStructures #Variables #TechSkills #ACTETechnologies #LearnPython #FutureReady #GrowthMindset

Day 3 of #100DaysOfCode – Python Practice Continues! Today I focused on improving my problem-solving skills with numbers and lists 🐍💡 📌 What I practiced today (Programs 26–40): 🔹 Number-based problems ✔️ Second largest element ✔️ Leap year check ✔️ Even & odd count ✔️ GCD & LCM ✔️ Armstrong number ✔️ Perfect number ✔️ Count digits ✔️ Factors of a number 🔹 List-based problems ✔️ Reverse a list ✔️ Merge two lists ✔️ Find common elements ✔️ Remove element from list ✔️ Frequency of elements ✔️ Check if list is sorted 💡 Key Learnings: ➡️ Improved logical thinking ➡️ Better understanding of loops & conditions ➡️ Hands-on with list operations and real-world scenarios ⚡ Faced small errors while coding, but debugging helped me learn deeper — that’s where real growth happens! 🔥 Consistency is building confidence day by day Global Quest Technologies ✨ #100DaysOfCode #Python #PythonProgramming #CodingJourney #LearnPython #ProblemSolving #Developer #CodingLife #TechSkills #SoftwareDevelopment #Debugging #GrowthMindset #GlobalQuestTechnologies #GQT #Day3Challenge

🚀 Day 6 of My 30-Day Python Journey Today’s focus was on handling collections of data using lists and tuples a key step toward writing more practical and scalable programs. 🔹 What I covered today: • Working with lists to store and manage multiple values • Performing operations like adding, removing, and sorting items • Iterating through lists using loops • Understanding tuples and their immutable nature • Comparing when to use lists vs tuples 💡 Key Takeaway: Choosing the right data structure is crucial. Lists provide flexibility for dynamic data, while tuples ensure stability when data should remain unchanged. 🧪 Practice Focus: Worked on tasks like finding maximum values, summing list elements, removing duplicates, and tuple unpacking. 📌 Next Step: Exploring dictionaries and sets to handle structured and unique data more efficiently. Step by step, building stronger logic and data handling skills. 💻 #Python #CodingJourney #LearnToCode #Developers #Programming #TechGrowth #100DaysOfCode

Scaling a system is easy. Scaling a system without accumulating massive technical debt is where the real engineering happens. 🏗️💻 As I dive deeper into Object-Oriented Programming (OOP) and system design in my A-Level CS studies, I’ve realized that "it works" is the lowest possible standard for code. In 2026, the focus has shifted from "Feature Velocity" to "Architectural Integrity." Whether I’m refactoring Python scripts for my personal projects or analyzing the logic of a complex sorting algorithm, I’m looking for three things: 1. Modularity: Can this component stand alone? 2. Extensibility: Will this break when the requirements change next month? 3. Efficiency: Is the Big O complexity optimized for the data set it’s actually handling? Great IT isn't about being the fastest coder in the room; it’s about being the one who builds the system that doesn't need to be rebuilt in six months. #SoftwareArchitecture #CleanCode #OOP #SystemDesign #CSFundamentals #PythonDevelopment

Leveling up my Python skills one class at a time 🐍💻 Today I dove deeper into Object-Oriented Programming (OOP) and honestly… things are starting to click 😄 Here’s what I worked on: 🔹 Default & parameterized constructors 🔹 Methods to process and display data 🔹 Single vs multiple inheritance (yes, things got interesting 👀) 🔹 Reusing code like a pro with classes like Student, Institute, and Law One cool moment? Seeing how inheritance lets you build cleaner, smarter, and more scalable code instead of repeating yourself everywhere. Also played around with small logic challenges (like calculations and object behavior), which is helping me build a strong foundation for my journey into Data Science 📊🚀 #Python #OOP #CodingJourney #DataScience #LearningByDoing #Tech

Day 10 of #100DaysOfCode – Exploring Tuples & Generators 🧠💻 Today’s learning was all about understanding how Python handles data efficiently and intelligently From immutable data structures to memory-efficient iterations — it was a powerful session 🔥 ✨ What I explored today (Programs 116–130): 🔹 Tuple fundamentals ✔️ Creating tuples (with & without parentheses) ✔️ Tuple packing & unpacking ✔️ Accessing & slicing elements 🔹 Tuple operations ✔️ Concatenation & repetition ✔️ Finding min, max, count & index ✔️ Iterating through tuples 🔹 Advanced concepts ✔️ Generator expressions ✔️ Memory-efficient looping ✔️ Generating values on the fly 💡 Key Learning: 👉 Tuples are immutable, which makes them faster and reliable 👉 Generators help in saving memory by producing values when needed Today helped me realize: It’s not just about storing data… It’s about how efficiently we handle it 🔥 Slowly moving from basic coding → writing smarter Python code 🙏 Special thanks to Global Quest Technologies (GQT) for continuous guidance and support throughout this journey 💬 Learning something new every day is becoming a habit now Global Quest Technologies ✨ #100DaysOfCode #Day10 #Python #PythonProgramming #CodingJourney #LearnPython #DataStructures #Tuples #Generators #ProblemSolving #DeveloperMindset #TechSkills #SoftwareDevelopment #Consistency #GlobalQuestTechnologies #GQT

Python isn’t just a language, it’s a productivity superpower 💡 Here are 5 Python tricks that changed how I code: ✅ List Comprehensions > loops ✅ Lambda functions for quick operations ✅ Virtual environments for clean projects ✅ Use enumerate() instead of manual counters ✅ Automate everything 🔁 Start small. Stay consistent. Build big. Follow me for more updates : Archie Chawla #Python #Coding #Developer #Programming #PythonTips #LearnPython #Automation #SoftwareDevelopment #Tech #CodeNewbie #DevCommunity #100DaysOfCode #AI #MachineLearning #ProgrammingLife #DevelopersLife #CodeSmart #TechGrowth #PythonDeveloper

Python is one of the easiest languages to start with, but also one of the most powerful to grow with. From web development and data science to automation and AI, Python opens doors across industries. Its simple syntax makes learning smoother, while strong fundamentals help you build real-world applications with confidence. Whether you're exploring coding for the first time or planning your career in tech, Python is a great place to begin. Learn. Practice. Build. Start your Python journey with structured learning on Infosys Springboard. #Python #Programming #LearnToCode #FutureSkills #InfosysSpringboard #CodingBasics