Navigating Pandas DataFrames with iloc

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 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 39 at Luminar Technolab Focused on data manipulation in Pandas adding columns, sorting values, and filtering using conditions. Also explored useful methods like head() and tail() for quick data insights. #Python #Pandas #DataAnalysis #LearningJourney #Consistency

Get started with machine learning using Python and discover how to build intelligent systems that can learn from data and improve their performance over time with this comprehensive guide https://lnkd.in/gDJ28K-Y #MachineLearningWithPython Read the full article https://lnkd.in/gDJ28K-Y

Exploring what really defines wine quality 🍷 Through EDA, I analyzed the Red Wine dataset to identify key factors influencing quality scores. Visualizations made the hidden patterns crystal clear! #DataScience #EDA #Python #MachineLearning #Analytics #LinkedInLearning

Day 24/100 – DSA Journey Problem: Intersection of Two Arrays Initially thought of using loops, but that would increase time complexity. Then realized the problem requires only unique common elements, which makes sets a perfect fit. Converted both arrays into sets and used intersection to directly get the result in an efficient way. Key Learning: Choosing the right data structure can simplify the entire problem. #Day24 #100DaysOfCode #DSA #Python #LeetCode #ProblemSolving

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

🐍 Day2 of Python Learning Today, We explored: -What variables are and why they matter ✅ Numbers → int, float ✅ Text → str ✅ Boolean → True, False ✅ Using print() to display values It’s amazing how these simple concepts form the backbone of everything we build in Python. Every program starts with storing and manipulating data and today was a solid step toward that 💪 #Python #LearnPython #15DaysOfPython #Day2 #CodingJourney #Variables #DataTypes #PythonForBeginners #KeepLearning #GrowTogether

Today, I learned how to take user input in Python using the input() function. This allows programs to interact with users and collect data such as name, age, and city. I also learned how to convert input into numbers using int() and float(), which is very important for calculations and data processing. #Day2 #Python #LearningJourney #DataScience #MachineLearning #Consistency

🚢 Completed Titanic Survival Analysis! Tools: Python | Pandas | Seaborn | Matplotlib Key Findings: ✅ Females had higher survival rate ✅ First class passengers survived more ✅ Higher fare = better survival chance GitHub: https://lnkd.in/gTsrns4y #DataAnalysis #Python #Pandas #DataScience