Revising Logic Problems on GitHub

Day 9 | Problem-Solving Practice Today I practiced a few foundational problems to strengthen logic and flow: • Sum of digits of a number • Prime number check and primes in a given range • Leap year validation using divisibility rules Focused on writing clear logic and understanding time complexity for each approach. Solutions have been pushed to GitHub for tracking progress. GitHub: https://lnkd.in/g35tV9Gj #ProblemSolving #Python #LearningInPublic

Day 43 – Finding a Substring in a String: Today’s task focused on checking whether a given substring exists within a string using logical conditions instead of complex methods. This exercise reinforced understanding of string comparison, user input handling, and conditional statements, which are essential for basic text search and validation tasks. GitHub Code: https://lnkd.in/gSvGR_NZ #Day43 #100DaysOfCode #Python #StringManipulation #LogicBuilding #ProblemSolving #DailyCoding #Consistency

Day 58 – Removing Common Elements from Lists Day 58 focused on removing common elements between two lists using set operations. This exercise enhanced understanding of list manipulation, type conversion, and efficient comparison techniques in Python, along with handling dynamic user inputs for practical implementation. GitHub Code: https://lnkd.in/gFwDgBBN #Day58 #100DaysOfCode #Python #Lists #SetOperations #LogicBuilding #DailyCoding #Consistency

📌 Nested Loops in Python Building on my loop concepts, I practiced Nested Loops in Python. A nested loop means placing one loop inside another. The inner loop executes completely for every single iteration of the outer loop. In this example, I used two lists: • One containing properties • One containing fruits The program combines each property with every fruit, showing how nested loops help generate all possible pair combinations. Nested loops are useful when: • Working with multiple lists • Creating combinations • Handling rows and columns • Solving pattern-based problems Step by step, improving my logical thinking and Python fundamentals. 🚀 #Python #Programming #CodingJourney #LearningPython #DataAnalytics

Day 44 – Replacing a Substring in a String: Today’s task focused on replacing a specific substring within a given string using a clean and structured approach. This exercise strengthened understanding of string functions, user input handling, and text transformation, which are commonly used in data cleaning and text-processing tasks. GitHub Code: https://lnkd.in/gWerhXEC #Day44 #100DaysOfCode #Python #StringManipulation #LogicBuilding #TextProcessing #DailyCoding #Consistency

Have you ever seen the @overload decorator in the wild and wondered what it's actually for? I wrote a short blog post explaining the problem it solves and how to use it in practice. 🐍 https://lnkd.in/eewYAGpJ #Python #programming #typehints

🚀 Python Practice | Tuple Logic (Without Built-ins) Today I practiced a core Python logic problem: 👉 Finding the maximum and minimum elements in a tuple without using built-in functions like max() or min(). 🔹 Initialized both max_val and min_val with the first element 🔹 Traversed the tuple using loops 🔹 Updated values using if conditions This kind of problem really helps in: -Strengthening loops & conditional logic -Understanding data structures deeply -Preparing for coding interviews and exams #Python #CodingPractice #PythonBasics #DataStructures #LearningByDoing #InterviewPreparation #Programming

Your code isn’t slow. You’re just scanning the same data 3 times. But the real issue is the structure, such as repeated filters, unnecessary copies, and too many passes over the dataset. Once you understand how data actually moves in memory, everything feels more PRO 👏 That’s what we work on inside our 1:1 Python Mentorship: • 6 private lessons • Real feedback on your own projects Interest? Here is our program: https://lnkd.in/dpHv3i4p #Zerotoknowing #python #codingtips

Day 52 – Tuple Basics and Adding Elements: Day 52 focused on Python tuple fundamentals, including accessing elements, finding length, and understanding immutability. The task demonstrated how new elements can be added by creating a new tuple using concatenation. This exercise strengthened knowledge of tuple operations and reinforced core concepts of Python data structures. GitHub Code: https://lnkd.in/giqwvVEr #Day52 #100DaysOfCode #Python #Tuples #DataStructures #LogicBuilding #DailyCoding #Consistency

🚀 Wrote a Hugging Face BPE Tokenizer visualizer library in python! Tokenization is the heart of modern LLMs, but looking at raw lists of integer IDs isn't exactly intuitive. That's why I created a lightweight Python library to help you visually inspect how Byte-Pair Encoding tokenizer break down your text. ✅ Easy to use ✅ Integrates seamlessly with Hugging Face tokenizers ✅ Perfect for debugging, model building, or just learning how BPE works under the hood! 📦 Try it out: pip install hf-tokenizer-visualizer 🔗 Github and Package links are in the comments #huggingface #tokenizer #deeplearning #python