Patel Shanthan Reddy’s Post

🚀 Day 3 — Python Journey Today’s focus was on float operations in Python (working with decimal numbers). 📌 What I learned: Float declaration Addition, subtraction, multiplication, division Rounding values using round() Scientific notation Precision handling in floats 💡 What I found interesting: Float values are not always 100% accurate due to precision limitations. Even simple calculations can sometimes give unexpected results. Understanding this early is important, especially for real-world applications like finance or data science. Step by step, trying to build a strong foundation. #Day3 #Python #CodingJourney #LearnInPublic #Consistency

Just finished implementing an Event Scheduler in Python for my Algorithm Engineering class! This project explored the trade-offs between Heaps (priority), Hash Tables (speed), and Balanced Trees (order) to build a scalable system. Here is a video of the program running with a sample data. #Python #DataStructures #AlgorithmEngineering #CSUF #Spring2026

Day 20 | Problem-Solving Practice Today I worked on determining the number of days in a given month and year. • Implemented a basic conditional approach • Optimized the solution using a set and simplified leap year logic Focused on handling edge cases like invalid month inputs and leap years correctly. Consistency over intensity — showing up every day and improving step by step. GitHub: https://lnkd.in/g35tV9Gj #ProblemSolving #Python #LearningInPublic #Consistency

𝗗𝗮𝘆 𝟭 | 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗺𝘆 𝗣𝘆𝘁𝗵𝗼𝗻 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 Today was my first step into Python, and I kept the focus on understanding the basics instead of trying to learn too many things at once. 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱: 💠 What Python is and why it is widely used, especially in data analysis Basic syntax and writing simple programs 💠 Understanding how Python executes code line by line I spent some time running small pieces of code just to get comfortable with the environment. Python feels quite readable, and that made the starting phase less overwhelming. Focusing on the basics at this stage is helping me build confidence for the topics ahead. #Python #DataAnalysis #LearningJourney #PythonBasics #Beginner #TechSkills

Day 6 of my Build in Public journey 🚀 Here’s what I focused on today 👇 💻 Python • Revised sets and learned about what a frozenset is • Learned how arrays work in Python (array module, NumPy arrays) • Read how list comprehensions work 🌐 HTML • Learned how to use images in web pages • Explored forms and how they work • Started with web accessibility basics #BuildInPublic #100DaysOfCode #LearningInPublic #Consistency

🐍 One thing I learned from working with real systems: Most issues are not in writing code... they are in understanding failures. When something breaks, I now focus on: → Logs analysis → Reproducing the issue → Identifying root cause Instead of jumping to fix, I try to understand why it failed. This approach has improved my problem-solving a lot. #Python #Debugging #ProductionSupport #Learning

Day 2 of learning Pandas Today was all about cleaning data handled missing values, dropped unnecessary columns, and did some basic filtering. Starting to see how messy data becomes usable with the right steps #Python #Pandas #DataScience #LearningJourney

Day 6 – Python Deep Dive 🚀 Topic: If-Else Example: age = 18 if age >= 18: print("Adult") else: print("Minor") 👉 Key takeaway: Conditions control program flow. #Python #LogicBuilding

Excited to share my latest blog on Getting Started with Matplotlib in Python! 📊 In this article, I’ve covered the basics of data visualization using Matplotlib and how we can turn raw data into meaningful insights. This project helped me strengthen my understanding of Python and data visualization concepts. 🔗 Read here: https://lnkd.in/g5HZZ4jt I’d love to hear your feedback! #Python #Matplotlib #DataVisualization #MediumBlog #LearningJourney

🚀 Day 2/30 – Stack & Queue Implementation using Python 🐍📚 Continuing my 30 Days Python Challenge with one of the most important Data Structures fundamentals! Today, I built a Stack & Queue implementation in Python to strengthen my understanding of LIFO and FIFO concepts, along with how data flows in real-world applications 💻 What I focused on today: ✨ Implementing Stack operations: push, pop, peek ✨ Implementing Queue operations: enqueue, dequeue ✨ Strengthening DSA logic and problem-solving skills This challenge is all about consistency, learning in public, and becoming better every single day 🚀 👉 Would love your feedback! Day 3 coming tomorrow… stay tuned 👀 #Python #30DaysChallenge #PythonProjects #DataStructures #Stack #Queue #CodingJourney #LearnPython #BuildInPublic #ProblemSolving