Day 38 at Luminar Technolab Worked with Pandas DataFrame selection using iloc and explored different ways to access rows and columns. Getting more comfortable navigating structured data #Python #Pandas #DataAnalysis #LearningJourney

Day 2/100: Logic & Math in Python! 🐍💸 Day 2 of my #100DaysOfCode challenge is in the books! Today’s focus was on handling user input, data types, and mathematical operations. I built a Tip Calculator project that handles bill splitting and percentage calculations—a simple but essential exercise in ensuring data accuracy and clean logic. What I practiced today: ->Type conversion (String to Float/Int) ->F-strings for clean output ->Floating-point precision 🔗 GitHub: https://lnkd.in/gWWzMYdn Small wins every day lead to big victories! Onward to Day 3. ⚔️ #Python #100DaysOfCode #LogicBuilding #CodingChallenge #GrowthMindset #DevCommunity

💻 Day 20 of #100DaysOfCode Today was all about strengthening the basics 🔁 ✔️ Revised loops (for loop & while loop) ✔️ Solved 20+ practice questions ✔️ Focused on improving logic and speed Real progress comes from repetition and consistency. Building a strong foundation step by step 🚀 #Python #CodingJourney #Consistency #LearnToCode

When more people can work with data, better insights follow. Swipe to see KNIME and Python work better together. ⬇️ Learn more: https://bit.ly/4bSj9Ov

🚀 Day 13 of My Python + DSA Journey Today’s problem focused on frequency counting 👇 ✅ Majority Element (#169) 💡 Majority Element Find the element that appears more than n/2 times 🔍 Approach: Used hashmap → counted frequency and returned element exceeding n/2 ⏱ O(n) time | O(n) space 🔥 What I learned today: • Hashmaps make counting problems simple • Frequency-based logic is very common in arrays • Early exit improves efficiency Getting faster at recognizing patterns ⚡ #Day13 #LeetCode #Python #DSA #CodingJourney #100DaysOfCode

Although it’s not ready for prime time, here is a short chunk of python that can measure intensity from a face using OpenCV over a given time interval. Next up: turn this signal into a time series data set. https://lnkd.in/gv_rgf3X

Day 32 at Luminar Technolab Focused on file handling in Python, reading data from files, processing it, and extracting useful insights. A small step closer to handling real world data. #Python #FileHandling #LearningJourney #ContinuousGrowth

🚀 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

Loops in Python look simple. 🐍 💻 But they save you hours. Instead of repeating tasks, you let the code do it for you. I made a short (10-page) tutorial focused on loops - simple and practical. Comment “loops” if you want it 👇 #Python #Programming #CodingBasics #LearnPython #Automation #AI #TechSkills #FreelancerLife

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