Revisiting Python Fundamentals for Cleaner Code

LeetCode 232 | Implement Queue using Stacks 🚀 🔹 Data Structure: Stack + Queue Concept 🔹 Idea: Use two stacks to simulate FIFO behavior 🔹 Current Approach: Push O(n), Pop O(1) 🔹 Key Learning: Stack reversal gives queue order Understanding how data structures can simulate each other improves problem-solving depth 💡 #DSA #LeetCode #DataStructures #Stack #Queue #Python #CodingJourney

Built a Simple CLI Calculator with Python Today I practiced core Python fundamentals by building a small command-line calculator that performs basic operations like addition, subtraction, and multiplication based on user input. ♦️Concepts I reinforced: • User input handling • Type conversion (int) • Conditional logic (if statements) • Clean output formatting Even simple projects like this help strengthen problem-solving skills and build confidence in writing structured, readable code. Next step: expanding this into a more robust version with error handling and division support. #Python #LearningByDoing #DataAnalytics #CodingJourney #Azure #dataengineering #data

Day 32 of my Data Engineering journey 🚀 Today I went deeper into Python by learning loops and functions the building blocks of automation. 📘 What I learned today (Loops & Functions in Python): • Using for loops to iterate over lists • Writing while loops • Loop control with break and continue • Defining functions with def • Passing arguments to functions • Returning values using return • Why functions make code reusable • Writing cleaner and modular code Loops help automate repetition. Functions help structure logic. This is where Python stops being syntax and starts becoming engineering. Why I’m learning in public: • To stay consistent • To build accountability • To improve daily Day 32 done ✅ Next up: working with files in Python 💪 #DataEngineering #Python #LearningInPublic #BigData #CareerGrowth #Consistency

🚀 Python Fundamentals: The Building Blocks of Programming 🐍 Mastering Python starts with getting the basics right. These core concepts power everything from simple scripts to advanced AI systems 👇 🔹 Variables – Store and manage data efficiently 🔹 Data Types – int, float, str, bool for structured logic 🔹 Operators – Perform calculations and comparisons effortlessly 💡 A strong foundation in Python fundamentals makes learning Data Science, AI, Automation, and Web Development much smoother and faster. ✨ Code smart. Think logically. Build confidently. #Python #PythonProgramming #ProgrammingBasics #CodingJourney #LearnToCode #TechSkills #ComputerScience

🚀 DSA 150 – Day 1 🧩 Leet code 217: Contains Duplicate Today I solved Contains Duplicate using Python. 🔎 Problem Summary: Given an integer array of nums, return True if any value appears at least twice, otherwise return False. 📚 Topics Covered: Arrays HashSet (using Python set) 💡 Key Learning: Instead of using nested loops (O(n²)), I used a HashSet to track seen elements while iterating once through the array. This reduced the time complexity to O(n) with O(n) space. Every small step builds stronger fundamentals. On to Day 1 💪🔥 #DSA #Python #Leet code #Problem solving #Coding journey

Day 4 / 90 – Data Science Learning Update 🚀 Today I worked on strengthening my Python fundamentals by practicing the range datatype and type casting. Topics covered: • Using range() for iteration • Understanding start, stop, and step values • Type casting between int, float, string, and boolean • Avoiding type-related errors using proper conversions Key takeaway: Understanding data types and conversions is essential for writing clean, flexible, and error-free Python code. Learning step by step and staying consistent. #Python #DataScience #DailyLearning #LearningJourney #Day4

Day 3 of my 30 Days Data Analytics Challenge Today I learned how Python repeats tasks automatically and how we can reuse logic using loops and functions. These concepts are used everywhere in data analytics — from cleaning data to running calculations on large datasets. What I learned today: 🔹 Loops: They help run the same block of code again and again. for loop → iterate over a sequence while loop → run until a condition is false 🔹 Functions: Functions are reusable blocks of code that perform a specific task. They make programs: Cleaner Reusable Easier to debug #DataAnalytics #Python #30DaysChallenge #LearningJourney #DataScience #Upskilling

✅ Day 49 of 100 Days LeetCode Challenge Problem: 🔹 #1046 – Last Stone Weight 🔗 https://lnkd.in/gAeEMysb Learning Journey: 🔹 Today’s problem focused on repeatedly smashing the two heaviest stones until only one or none remains. 🔹 I used a max-heap approach by storing negative values in Python’s min-heap implementation. 🔹 Each step involved removing the two largest stones, calculating their difference, and pushing the remaining weight back into the heap if needed. 🔹 This ensured efficient retrieval of the heaviest stones at every iteration. Concepts Used: 🔹 Heap / Priority Queue 🔹 Max-Heap Simulation 🔹 Greedy Strategy 🔹 Simulation Key Insight: 🔹 Using negative values is a simple trick to simulate a max-heap using Python’s min-heap. 🔹 Heap structures are ideal when repeatedly accessing extreme values. 🔹 Simulation problems become efficient when paired with the right data structure. #LeetCode #DataStructures #Algorithms #CodingInterview #SoftwareEngineering #SoftwareDeveloper #ProblemSolving #Programming #ComputerScience #TechCareers #100DaysOfCode #DailyCoding #Consistency #LearningInPublic #Python #BackendDevelopment #InterviewPreparation #TechCommunity

🚀 Inheritance: Creating Hierarchies of Classes (Python) Inheritance allows you to create new classes (derived classes or subclasses) based on existing classes (base classes or superclasses). The derived class inherits attributes and methods from the base class, promoting code reuse and establishing an 'is-a' relationship. This enables you to create specialized classes with additional functionality while maintaining common characteristics. Inheritance supports the creation of hierarchical class structures, making code more organized and manageable. Learn more on our website: https://techielearns.com #Python #PythonDev #DataScience #WebDev #professional #career #development

Day 36 of #100DaysOfCode 🚀 Today was all about working with a News API and pulling real-time news related to a specific stock/company. The goal was to fetch relevant articles, filter them, and turn raw API data into something actually useful (and readable). Big takeaways: How to make authenticated API requests Parsing and filtering JSON responses Connecting external data (news) to real-world use cases like stock tracking A reminder that code becomes way more fun when it interacts with the real world Basically: teaching my Python apps to read the news so humans don’t have to 😄 Slow, consistent progress — still showing up. #Python #APIs #100DaysOfCode #LearningToCode #Data #FinTech #Consistency #CareerSwitch